From 309ea5f34e1c190402457032082605d5bdf6b985 Mon Sep 17 00:00:00 2001 From: Itai Smith Date: Mon, 16 Dec 2024 11:52:39 -0800 Subject: [PATCH 1/5] Remove pages directory --- docs/docs.trychroma.com/pages/_app.tsx | 256 ------ docs/docs.trychroma.com/pages/_sidenav.js | 16 - docs/docs.trychroma.com/pages/about.md | 48 - .../pages/cloud/_sidenav.js | 11 - .../docs.trychroma.com/pages/cloud/apikeys.md | 3 - docs/docs.trychroma.com/pages/cloud/index.md | 3 - .../pages/cloud/performance.md | 3 - docs/docs.trychroma.com/pages/cloud/teams.md | 3 - docs/docs.trychroma.com/pages/community.md | 3 - docs/docs.trychroma.com/pages/contributing.md | 42 - .../pages/deployment/_sidenav.js | 46 - .../pages/deployment/auth.md | 210 ----- .../pages/deployment/aws.md | 304 ------- .../pages/deployment/azure.md | 262 ------ .../pages/deployment/client-server-mode.md | 67 -- .../pages/deployment/docker.md | 380 -------- .../pages/deployment/encryption.md | 3 - .../pages/deployment/gcp.md | 284 ------ 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'development') posthog.debug() - } - }) -} - -import {TopNav} from '../components/layout/TopNav'; -import {SideNav} from '../components/layout/SideNav'; -import {TableOfContents} from '../components/layout/TableOfContents'; - -import { ThemeProvider } from 'next-themes' - -import '../public/globals.css' -import 'katex/dist/katex.min.css'; - -import type { AppProps } from 'next/app' -import type { MarkdocNextJsPageProps } from '@markdoc/next.js' - -import { Inter, IBM_Plex_Mono } from 'next/font/google' -// import IBM Plex Mono -import { Toaster } from "../components/ui/toaster" -import { Icons } from '../components/ui/icons'; -import { ThemeToggle } from '../components/ui/toggle-theme'; -import { Breadcrumb, BreadcrumbList, BreadcrumbItem, BreadcrumbLink, BreadcrumbSeparator, BreadcrumbPage } from '../components/ui/breadcrumb'; -import { useRouter } from 'next/router'; - -const inter = Inter({ - subsets: ['latin'], - display: 'swap', - variable: '--font-inter', -}) - -const ibmPlexMono = IBM_Plex_Mono({ - subsets: ['latin'], - display: 'swap', - weight: "400", - variable: '--font-ibm-plex-mono', -}) - -const TITLE = 'Chroma Docs'; -const DESCRIPTION = 'Chroma is the open-source AI application database. Batteries included.'; - -function collectHeadings(node, sections = []) { - if (node) { - if (node.name === 'Heading') { - const title = node.children[0]; - - if (typeof title === 'string') { - sections.push({ - ...node.attributes, - title - }); - } - } - - if (node.children) { - for (const child of node.children) { - collectHeadings(child, sections); - } - } - } - - return sections; -} - -const ROOT_ITEMS = require(`./_sidenav.js`).items; - -export type ChromaDocsProps = MarkdocNextJsPageProps - -export default function ChromaDocs({ Component, pageProps }: AppProps) { - const { markdoc } = pageProps; - - const router = useRouter() - - useEffect(() => { - // Track page views - const handleRouteChange = () => posthog?.capture('$pageview') - router.events.on('routeChangeComplete', handleRouteChange) - - return () => { - router.events.off('routeChangeComplete', handleRouteChange) - } - }, []) - - let title = TITLE; - let description = DESCRIPTION; - if (markdoc && (markdoc.frontmatter !== undefined)) { - if (markdoc.frontmatter.title) { - title = markdoc.frontmatter.title; - } - if (markdoc.frontmatter.description) { - description = markdoc.frontmatter.description; - } - } - - const toc = pageProps.markdoc?.content - ? collectHeadings(pageProps.markdoc.content) - : []; - - // get the pathname and figure out if we are in a group or not - // this requires iterating through ROOT_ITEMS - const pathname = router.pathname; - let pathVar = router.asPath.split('/')[1] !== undefined ? router.asPath.split('/')[1] : ''; - let inGroup = false - let groupObject = null - // iterate through ROOT_ITEMS to see if pathVar is a group or not - ROOT_ITEMS.map((item: any) => { - if (item.href === `/${pathVar}` && item.type === 'group') { - inGroup = true - groupObject = item - } - }) - - // if inGroup is true, then we need to build the breadcrumbs - let breadcrumbs = [] - if (inGroup) { - breadcrumbs.push({href: `/${pathVar}`, name: groupObject.title}) - } - // if markdoc.frontmatter.title does not equal the groupObject.title, then we need to add it to our breadcrumbs - // if the route is more than 1 level deep - if (router.pathname.split('/').length > 2) { - if (inGroup && (markdoc.frontmatter !== undefined) && markdoc.frontmatter.title !== groupObject.title) { - breadcrumbs.push({href: `/${pathVar}/${markdoc.frontmatter.title}`, name: markdoc.frontmatter.title}) - } - } - - const pageTitle = `${title}${title !== "Chroma" ? " | Chroma Docs": " Docs" }` - - // generate the github edit link - let filePath = router.asPath.split('/').slice(1).join('/') - - // if root, then index.md - if (filePath === '') { - filePath = 'index' - } - - // if inGroup but .slice(2) is empty, then add index.md - if (inGroup && router.asPath.split('/').slice(1)[1] === undefined) { - filePath = filePath + '/index' - } - - let githubEditLink = `https://github.com/chroma-core/chroma/blob/main/docs/docs.trychroma.com/pages/` + filePath + '.md' - - return ( - - -
- - - {pageTitle} - - - - - - - - - - - - - - - - - - - - -
-
-
- -
-
- -
- - {inGroup? ( - - - - Home - - - {breadcrumbs.map((item, index) => { - return ( - <> - - {item.name} - - {/* if not the last item, add a BreadcrumbSeparator */} - {index !== breadcrumbs.length - 1 ? ( - - ) : ( - <> - )} - - ) - })} - - - - ) : <> } - -
{title}
- - -
- -
-
- -
-
- -
- -
- -
-
-
- ); -} diff --git a/docs/docs.trychroma.com/pages/_sidenav.js b/docs/docs.trychroma.com/pages/_sidenav.js deleted file mode 100644 index 1c344055e4c..00000000000 --- a/docs/docs.trychroma.com/pages/_sidenav.js +++ /dev/null @@ -1,16 +0,0 @@ -export const items = [ - {href: '/', title: '🏡 Home'}, - {href: '/getting-started', title: '🔑 Getting Started'}, - // {href: '/examples', title: '💡 Examples', type: 'group'}, - {href: '/guides', title: '🧪 Guides', type: 'group'}, - {href: '/integrations', title: '🔌 Integrations', type: 'group'}, - {href: '/deployment', title: '☁️ Deployment', type: 'group'}, - {href: '/telemetry', title: '📏 Telemetry'}, - {href: '/roadmap', title: '🛣️ Roadmap'}, - // {href: '/cloud', title: '☁️ Cloud', type: 'group'}, - // {href: '/community', title: '🌎 Community'}, - {href: '/contributing', title: '🍻 Contributing'}, - {href: '/troubleshooting', title: '🔍 Troubleshooting'}, - {href: '/about', title: '👽 About'}, - {href: '/reference', title: '🔧 Reference', type: 'group'}, - ]; diff --git a/docs/docs.trychroma.com/pages/about.md b/docs/docs.trychroma.com/pages/about.md deleted file mode 100644 index 576fec97de0..00000000000 --- a/docs/docs.trychroma.com/pages/about.md +++ /dev/null @@ -1,48 +0,0 @@ ---- -title: "👽 About" ---- - -## Who we are - -{% note type="tip" title="We are hiring" %} -We are hiring software engineers and applied research scientists. -{% /note %} - -[➡️ View open roles](https://careers.trychroma.com/) - -Chroma as a project is coordinated by a small team of full-time employees who work at a company also called Chroma. - -We work in the sunny Mission District in San Francisco. - -Chroma is co-founded by [Jeff Huber](https://twitter.com/jeffreyhuber) (left) and [Anton Troynikov](https://twitter.com/atroyn) (right). - -![](/img/team.JPG) - -## Our commitment to open source - -Chroma is a company that builds the open-source project also called Chroma. - -We are committed to building open source software because we believe in the flourishing of humanity that will be unlocked through the democratization of robust, safe, and aligned AI systems. These tools need to be available to a new developer just starting in ML as well as the organizations that scale ML to millions (and billions) of users. Open source is about expanding the horizon of what’s possible. - -Chroma is a _commercial_ open source company. What does that mean? We believe that organizing financially sustainable teams of people to work to manage, push and integrate the project enriches the health of the project and the community. - -It is important that our values around this are very clear! - -- We are committed to building Chroma as a ubiquitous open source standard -- A successful Chroma-based commercial product is essential for the success of the technology, and is a win-win for everyone. Simply put, many organizations will not adopt Chroma without the option of a commercially hosted solution; and the project must be backed by a company with a viable business model. We want to build an awesome project and an awesome business. -- We will decide what we provide exclusively in the commercial product based on clear, consistent criteria. - -What code will be open source? As a general rule, any feature which an individual developer would find useful will be 100% open source forever. This approach, popularized by Gitlab, is called [buyer-based open source](https://about.gitlab.com/company/stewardship/). We believe that this is essential to accomplishing our mission. - -Currently we don’t have any specific plans to monetize Chroma, we are working on a hosted service that will be launched as a free technical preview to make it easier for developers to get going. We are 100% focused on building valuable open source software with the community and for the community. - - -## Our investors - -Chroma raised an $18M seed round led by Astasia Myers from Quiet Capital. Joining the round are angels including Naval Ravikant, Max and Jack Altman, Jordan Tigani (Motherduck), Guillermo Rauch (Vercel), Akshay Kothari (Notion), Amjad Masad (Replit), Spencer Kimball (CockroachDB), and other founders and leaders from ScienceIO, Gumroad, MongoDB, Scale, Hugging Face, Jasper and more. - -![](https://www.trychroma.com/investors.png) - -Chroma raised a pre-seed in May 2022, led by Anthony Goldbloom (Kaggle) from AIX Ventures, James Cham from Bloomberg Beta, and Nat Friedman and Daniel Gross (AI Grant). - -We're excited to work with a deep set of investors and enterpreneurs who have invested in and built some of the most successful open-source projects in the world. diff --git a/docs/docs.trychroma.com/pages/cloud/_sidenav.js b/docs/docs.trychroma.com/pages/cloud/_sidenav.js deleted file mode 100644 index aeb47895ff1..00000000000 --- a/docs/docs.trychroma.com/pages/cloud/_sidenav.js +++ /dev/null @@ -1,11 +0,0 @@ - -export const items = [ - { - title: 'Cloud', - links: [ - { href: '/cloud/teams', children: 'Teams' }, - { href: '/cloud/apikeys', children: 'API Keys' }, - { href: '/cloud/performance', children: 'Performance' }, - ] - }, - ]; diff --git a/docs/docs.trychroma.com/pages/cloud/apikeys.md b/docs/docs.trychroma.com/pages/cloud/apikeys.md deleted file mode 100644 index ae754986351..00000000000 --- a/docs/docs.trychroma.com/pages/cloud/apikeys.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: API Keys ---- diff --git a/docs/docs.trychroma.com/pages/cloud/index.md b/docs/docs.trychroma.com/pages/cloud/index.md deleted file mode 100644 index 029fd147caa..00000000000 --- a/docs/docs.trychroma.com/pages/cloud/index.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Chroma Cloud ---- diff --git a/docs/docs.trychroma.com/pages/cloud/performance.md b/docs/docs.trychroma.com/pages/cloud/performance.md deleted file mode 100644 index 609b952fe5c..00000000000 --- a/docs/docs.trychroma.com/pages/cloud/performance.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Performance ---- diff --git a/docs/docs.trychroma.com/pages/cloud/teams.md b/docs/docs.trychroma.com/pages/cloud/teams.md deleted file mode 100644 index 2905bfbd6a5..00000000000 --- a/docs/docs.trychroma.com/pages/cloud/teams.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Teams ---- diff --git a/docs/docs.trychroma.com/pages/community.md b/docs/docs.trychroma.com/pages/community.md deleted file mode 100644 index e0dc0012b1c..00000000000 --- a/docs/docs.trychroma.com/pages/community.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: 🌎 Community ---- diff --git a/docs/docs.trychroma.com/pages/contributing.md b/docs/docs.trychroma.com/pages/contributing.md deleted file mode 100644 index 17d28df8850..00000000000 --- a/docs/docs.trychroma.com/pages/contributing.md +++ /dev/null @@ -1,42 +0,0 @@ ---- -title: "🍻 Contributing" ---- - -We welcome all contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas. - -## Getting Started -Here are some helpful links to get you started with contributing to Chroma - -- The Chroma codebase is hosted on [Github](https://github.com/chroma-core/chroma) -- Issues are tracked on [Github Issues](https://github.com/chroma-core/chroma/issues). Please report any issues you find there making sure to fill out the correct [form for the type of issue you are reporting](https://github.com/chroma-core/chroma/issues/new/choose). -- In order to run Chroma locally you can follow the [Development Instructions](https://github.com/chroma-core/chroma/blob/main/DEVELOP.md). -- If you want to contribute and aren't sure where to get started you can search for issues with the [Good first issue](https://github.com/chroma-core/chroma/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) tag or take a look at our [Roadmap](https://docs.trychroma.com/roadmap). -- The Chroma documentation (including this page!) is hosted on [Github](https://github.com/chroma-core/docs) as well. If you find any issues with the documentation please report them on the Github Issues page for the documentation [here](https://github.com/chroma-core/docs/issues). - - -## Contributing Code and Ideas - -### Pull Requests -In order to submit a change to Chroma please submit a [Pull Request](https://github.com/chroma-core/chroma/compare) against Chroma or the documentation. The pull request will be reviewed by the Chroma team and if approved will be merged into the repository. We will do our best to review pull requests in a timely manner but please be patient as we are a small team. We will work to integrate your prpoosed changes as quickly as possible if they align with the goals of the project. We ask that you label your pull request with a title prefix that indicates the type of change you are proposing. The following prefixes are used: - -``` -ENH: Enhancement, new functionality -BUG: Bug fix -DOC: Additions/updates to documentation -TST: Additions/updates to tests -BLD: Updates to the build process/scripts -PERF: Performance improvement -TYP: Type annotations -CLN: Code cleanup -CHORE: Maintenance and other tasks that do not modify source or test files -``` - - -### CIPs -Chroma Improvement Proposals or CIPs (pronounced "Chips") are the way to propose new features or large changes to Chroma. If you plan to make a large change to Chroma please submit a CIP first so that the core Chroma team as well as the community can discuss the proposed change and provide feedback. A CIP should provide a concise technical specification of the feature and a rationale for why it is needed. The CIP should be submitted as a pull request to the [CIPs folder](https://github.com/chroma-core/chroma/tree/main/docs). The CIP will be reviewed by the Chroma team and if approved will be merged into the repository. To learn more about writing a CIP you can read the [guide](https://github.com/chroma-core/chroma/blob/main/docs/cip/CIP_Chroma_Improvment_Proposals.md). CIPs are not required for small changes such as bug fixes or documentation updates. - -A CIP starts in the "Proposed" state, then moves to "Under Review" once the Chroma team has reviewed it and is considering it for implementation. Once the CIP is approved it will move to the "Accepted" state and the implementation can begin. Once the implementation is complete the CIP will move to the "Implemented" state. If the CIP is not approved it will move to the "Rejected" state. If the CIP is withdrawn by the author it will move to the "Withdrawn" state. - - -### Discord -For less fleshed out ideas you want to discuss with the community, you can join our [Discord](https://discord.gg/Fk2pH7k6) and chat with us in the #feature-ideas channel. We are always happy to discuss new ideas and features with the community. diff --git a/docs/docs.trychroma.com/pages/deployment/_sidenav.js b/docs/docs.trychroma.com/pages/deployment/_sidenav.js deleted file mode 100644 index 4fb5193104f..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/_sidenav.js +++ /dev/null @@ -1,46 +0,0 @@ -export const items = [ - // { - // title: 'Runtimes', - // links: [ - // { href: '/deployment/in-memory', children: 'In-memory' }, - // { href: '/deployment/persistent-client', children: 'Persistent' }, - // { href: '/deployment/docker', children: 'Docker' }, - // { href: '/deployment/kubernetes', children: 'Kubernetes' }, - // ] - // }, - { - title: "Chroma Server", - links: [ - { - href: "/deployment/client-server-mode", - children: "Client/Server Mode", - }, - { href: "/deployment/thin-client", children: "Python Thin-Client" }, - ], - }, - { - title: "Containers", - links: [{ href: "/deployment/docker", children: "Docker" }], - }, - { - title: "Cloud Providers", - links: [ - { href: "/deployment/aws", children: "AWS" }, - { href: "/deployment/azure", children: "Azure" }, - { href: "/deployment/gcp", children: "GCP" }, - ], - }, - { - title: "Administration", - links: [ - { href: "/deployment/performance", children: "🚀 Performance" }, - // { href: '/deployment/logging', children: 'Logging' }, - { href: "/deployment/observability", children: "👀 Observability" }, - { href: "/deployment/migration", children: "✈️ Migration" }, - // { href: '/deployment/security', children: 'Security' }, - // { href: '/deployment/encryption', children: 'Encryption' }, - { href: "/deployment/auth", children: "🔒 Auth" }, - // { href: '/deployment/performance', children: 'Performance' }, - ], - }, -]; diff --git a/docs/docs.trychroma.com/pages/deployment/auth.md b/docs/docs.trychroma.com/pages/deployment/auth.md deleted file mode 100644 index 1605b0eee22..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/auth.md +++ /dev/null @@ -1,210 +0,0 @@ ---- -title: 🔒 Auth ---- - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -You can configure Chroma to use authentication when in server/client mode only. - -Supported authentication methods: - -{% special_table %} -{% /special_table %} - -| Authentication Method | Basic Auth (Pre-emptive) | Static API Token | -| --------------------- | ------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------- | -| Description | [RFC 7617](https://www.rfc-editor.org/rfc/rfc7617) Basic Auth with `user:password` base64-encoded `Authorization` header. | Static auth token in `Authorization: Bearer ` or in `X-Chroma-Token: ` headers. | -| Status | `Alpha` | `Alpha` | -| Server-Side Support | ✅ `Alpha` | ✅ `Alpha` | -| Client/Python | ✅ `Alpha` | ✅ `Alpha` | -| Client/JS | ✅ `Alpha` | ✅ `Alpha` | - -*** - -In this guide we will add authentication to a simple Chroma server running locally using our CLI: - -```shell -chroma run --path -``` - -We also have dedicated auth guides for various deployments: -* [Docker](/deployment/docker#authentication-with-docker) -* [AWS](/deployment/aws#authentication-with-AWS) -* [GCP](/deployment/gcp#authentication-with-GCP) -* [Azure](/deployment/azure#authentication-with-Azure) - -### Encrypted User:Password Authentication - -#### Server Set-Up - -##### Generate Server-Side Credentials - -{% note type="note" title="Security Practices" %} -A good security practice is to store the password securely. In the example below we use [bcrypt](https://en.wikipedia.org/wiki/Bcrypt) (currently the only supported hash in Chroma server side auth) to hash the plaintext password. If you'd like to see support for additional hash functions, feel free to [contribute](../contributing) new ones! -{% /note %} - -To generate the password hash, run the following command (you may need to install `httpasswd`): - -```bash -htpasswd -Bbn admin admin > server.htpasswd -``` - -This creates the bcrypt password hash for the password `admin`, for the `admin` user, and puts it into `server.htpasswd` in your current working directory. It will look like `admin:`. - -##### Running the Server - -Set the following environment variables: - -```bash -export CHROMA_SERVER_AUTHN_CREDENTIALS_FILE="" -export CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.basic_authn.BasicAuthenticationServerProvider" -``` - -And run the Chroma server: - -```bash -chroma run --path -``` - -#### Client Set-Up - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -We will use Chroma's `Settings` object to define the authentication method on the client. - -```python -import chromadb -from chromadb.config import Settings - -client = chromadb.HttpClient( - host="localhost", - port=8000, - settings=Settings( - chroma_client_auth_provider="chromadb.auth.basic_authn.BasicAuthClientProvider", - chroma_client_auth_credentials="admin:admin" - ) -) - -chroma_client.heartbeat() -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "http://localhost:8000", - auth: { - provider: "basic", - credentials: "admin:admin" - } -}) - -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -We recommend setting the environment variable `CHROMA_CLIENT_AUTH_CREDENTIALS` instead of specifying the credentials in code. - -### Static API Token Authentication - -#### Server Set-Up - -{% note type="note" title="Security Note" %} -Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. -{% /note %} - -If, for example, you want the static API token to be "test-token", set the following environment variables. This will set `Authorization: Bearer test-token` as your authentication header. - -```bash -export CHROMA_SERVER_AUTHN_CREDENTIALS="test-token" -export CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" -``` - -To use `X-Chroma-Token: test-token` type of authentication header you can set the `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` environment variable: - -```bash -export CHROMA_SERVER_AUTHN_CREDENTIALS="test-token" -export CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" -export CHROMA_AUTH_TOKEN_TRANSPORT_HEADER="X-Chroma-Token" -``` - -Then, run the Chroma server: - -```bash -chroma run --path -``` - -To configure multiple tokens and use them for role-based access control (RBAC), use a file like [this](https://github.com/chroma-core/chroma/blob/main/examples/basic_functionality/authz/authz.yaml) and the following environment variables: - -```bash -export CHROMA_SERVER_AUTHN_CREDENTIALS_FILE="" -export CHROMA_SERVER_AUTHZ_CONFIG_FILE="" # Note: these are the same! -export CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" -export CHROMA_SERVER_AUTHZ_PROVIDER="chromadb.auth.simple_rbac_authz.SimpleRBACAuthorizationProvider" -``` - -#### Client Set-Up - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -We will use Chroma's `Settings` object to define the authentication method on the client. - -```python -import chromadb -from chromadb.config import Settings - -client = chromadb.HttpClient( - host="localhost", - port=8000, - settings=Settings( - chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", - chroma_client_auth_credentials="test-token" - ) -) - -chroma_client.heartbeat() -``` - -If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: - -```python -chroma_auth_token_transport_header="X-Chroma-Token" -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "http://localhost:8000", - auth: { - provider: "token", - credentials: "test-token", - tokenHeaderType: "X-Chroma-Token" - } -}) - -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -We recommend setting the environment variable `CHROMA_CLIENT_AUTH_CREDENTIALS` instead of specifying the token in code. Similarly, you can read the value of `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` in the client construction. diff --git a/docs/docs.trychroma.com/pages/deployment/aws.md b/docs/docs.trychroma.com/pages/deployment/aws.md deleted file mode 100644 index ab73e22c84e..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/aws.md +++ /dev/null @@ -1,304 +0,0 @@ ---- -title: "☁️ AWS Deployment" ---- - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -{% note type="tip" title="Hosted Chroma" %} -Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. - -[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) - -{% /note %} - -{% note type="tip" title="" %} -If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. -This is the best place to - -1. Get support with building with Chroma in prod. -2. Stay up-to-date with exciting new features. -3. Get swag! - -We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. -{% /note %} - -## A Simple AWS Deployment - -You can deploy Chroma on a long-running server, and connect to it -remotely. - -There are many possible configurations, but for convenience we have -provided a very simple AWS CloudFormation template to experiment with -deploying Chroma to EC2 on AWS. - -{% note type="warning" title="" %} -Chroma and its underlying database [need at least 2GB of RAM](./performance#results-summary), -which means it won't fit on the 1gb instances provided as part of the -AWS Free Tier. This template uses a [`t3.small`](https://aws.amazon.com/ec2/instance-types/t3/#Product%20Details) EC2 instance, which -costs about two cents an hour, or $15 for a full month, and gives you 2GiB of memory. If you follow these -instructions, AWS will bill you accordingly. -{% /note %} - -{% note type="warning" title="" %} -In this guide we show you how to secure your endpoint using [Chroma's -native authentication support](./aws#authentication-with-aws). Alternatively, you can put it behind -[AWS API Gateway](https://aws.amazon.com/api-gateway/) or add your own -authenticating proxy. This basic stack doesn't support any kind of authentication; -anyone who knows your server IP will be able to add and query for -embeddings. -{% /note %} - -{% note type="warning" title="" %} -By default, this template saves all data on a single -volume. When you delete or replace it, the data will disappear. For -serious production use (with high availability, backups, etc.) please -read and understand the CloudFormation template and use it as a basis -for what you need, or reach out to the Chroma team for assistance. -{% /note %} - -### Step 1: Get an AWS Account - -You will need an AWS Account. You can use one you already have, or -[create a new one](https://aws.amazon.com). - -### Step 2: Get credentials - -For this example, we will be using the AWS command line -interface. There are -[several ways](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-prereqs.html) -to configure the AWS CLI, but for the purposes of these examples we -will presume that you have -[obtained an AWS access key](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html) -and will be using environment variables to configure AWS. - -Export the `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` environment variables in your shell: - -```shell -export AWS_ACCESS_KEY_ID=**\*\***\*\*\*\***\*\*** -export AWS_SECRET_ACCESS_KEY=****\*\*****\*\*****\*\***** -``` - -You can also configure AWS to use a region of your choice using the -`AWS_REGION` environment variable: - -```shell -export AWS_REGION=us-east-1 -``` - -### Step 3: Run CloudFormation - -Chroma publishes a [CloudFormation template](https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json) to S3 for each release. - -To launch the template using AWS CloudFormation, run the following command line invocation. - -Replace `--stack-name my-chroma-stack` with a different stack name, if you wish. - -```sh -aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json -``` - -Wait a few minutes for the server to boot up, and Chroma will be -available! You can get the public IP address of your new Chroma server using the AWS console, or using the following command: - -```sh -aws cloudformation describe-stacks --stack-name my-chroma-stack --query 'Stacks[0].Outputs' -``` - -Note that even after the IP address of your instance is available, it may still take a few minutes for Chroma to be up and running. - -#### Customize the Stack (optional) - -The CloudFormation template allows you to pass particular key/value -pairs to override aspects of the stack. Available keys are: - -- `InstanceType` - the AWS instance type to run (default: `t3.small`) -- `KeyName` - the AWS EC2 KeyPair to use, allowing to access the instance via SSH (default: none) - -To set a CloudFormation stack's parameters using the AWS CLI, use the -`--parameters` command line option. Parameters must be specified using -the format `ParameterName={parameter},ParameterValue={value}`. - -For example, the following command launches a new stack similar to the -above, but on a `m5.4xlarge` EC2 instance, and adding a KeyPair named -`mykey` so anyone with the associated private key can SSH into the -machine: - -```shell -aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json \ - --parameters ParameterKey=KeyName,ParameterValue=mykey \ - ParameterKey=InstanceType,ParameterValue=m5.4xlarge -``` - -### Step 4: Chroma Client Set-Up - -Once your EC2 instance is up and running with Chroma, all -you need to do is configure your `HttpClient` to use the server's IP address and port -`8000`. Since you are running a Chroma server on AWS, our [thin-client package](./thin-client.md) may be enough for your application. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb - -chroma_client = chromadb.HttpClient( - host="", - port=8000 -) -chroma_client.heartbeat() -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "", - port: 8000 -}) -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -### Step 5: Clean Up (optional). - -To destroy the stack and remove all AWS resources, use the AWS CLI `delete-stack` command. - -{% note type="warning" title="Note" %} -This will destroy all the data in your Chroma database, -unless you've taken a snapshot or otherwise backed it up. -{% /note %} - -```shell -aws cloudformation delete-stack --stack-name my-chroma-stack -``` - -## Authentication with AWS - -By default, the EC2 instance created by our CloudFormation template will run with no authentication. There are many ways to secure your Chroma instance on AWS. In this guide we will use a simple set-up using Chroma's native authentication support. - -You can learn more about authentication with Chroma in the [Auth Guide](/deployment/auth). - -### Static API Token Authentication - -#### Customize Chroma's CloudFormation Stack - -{% note type="note" title="Security Note" %} -Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. -{% /note %} - -If, for example, you want the static API token to be "test-token", pass the following parameters when creating your Chroma stack. This will set `Authorization: Bearer test-token` as your authentication header. - -```shell -aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json \ - --parameters ParameterKey=ChromaServerAuthCredentials,ParameterValue="test-token" \ - ParameterKey=ChromaServerAuthProvider,ParameterValue="chromadb.auth.token_authn.TokenAuthenticationServerProvider" -``` - -To use `X-Chroma-Token: test-token` type of authentication header you can set the `ChromaAuthTokenTransportHeader` parameter: - -```shell -aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json \ - --parameters ParameterKey=ChromaServerAuthCredentials,ParameterValue="test-token" \ - ParameterKey=ChromaServerAuthProvider,ParameterValue="chromadb.auth.token_authn.TokenAuthenticationServerProvider" \ - ParameterKey=ChromaAuthTokenTransportHeader,ParameterValue="X-Chroma-Token" -``` - -#### Client Set-Up - -Add the `CHROMA_CLIENT_AUTH_CREDENTIALS` environment variable to your local environment, and set it to the token you provided the server (`test-token` in this example): - -```shell -export CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" -``` - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -We will use Chroma's `Settings` object to define the authentication method on the client. - -```python -import os -import chromadb -from chromadb.config import Settings -from dotenv import load_dotenv - -load_dotenv() - -client = chromadb.HttpClient( - host="", - port=8000, - settings=Settings( - chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", - chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") - ) -) - -client.heartbeat() -``` - -If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: - -```python -chroma_auth_token_transport_header=os.getenv("CHROMA_AUTH_TOKEN_TRANSPORT_HEADER") -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "", - auth: { - provider: "token", - credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS, - tokenHeaderType: process.env.CHROMA_AUTH_TOKEN_TRANSPORT_HEADER - } -}) - -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -## Observability with AWS - -Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. We currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). These should allow you to understand how requests flow through the system and quickly identify bottlenecks. - -Tracing is configured with four environment variables: - -- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. -- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. -- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. -- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. - -To enable tracing on your Chroma server, simply pass your desired values as parameters when creating your Cloudformation stack: - -```shell -aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json \ - --parameters ParameterKey=ChromaOtelCollectionEndpoint,ParameterValue="api.honeycomb.com" \ - ParameterKey=ChromaOtelServiceName,ParameterValue="chromadb" \ - ParameterKey=ChromaOtelCollectionHeaders,ParameterValue="{'x-honeycomb-team': 'abc'}" \ - ParameterKey=ChromaOtelGranularity,ParameterValue="all" \ -``` - -## Troubleshooting - -#### Error: No default VPC for this user - -If you get an error saying `No default VPC for this user` when creating `ChromaInstanceSecurityGroup`, head to [AWS VPC section](https://us-east-1.console.aws.amazon.com/vpc/home?region=us-east-1#vpcs) and create a default VPC for your user. diff --git a/docs/docs.trychroma.com/pages/deployment/azure.md b/docs/docs.trychroma.com/pages/deployment/azure.md deleted file mode 100644 index 948b18ecdcc..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/azure.md +++ /dev/null @@ -1,262 +0,0 @@ ---- -title: "☁️ Azure Deployment" ---- - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -{% note type="tip" title="Hosted Chroma" %} -Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. - -[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) - -{% /note %} - -{% note type="tip" title="" %} -If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. -This is the best place to - -1. Get support with building with Chroma in prod. -2. Stay up-to-date with exciting new features. -3. Get swag! - -We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. -{% /note %} - -## A Simple Azure Deployment - -You can deploy Chroma on a long-running server, and connect to it -remotely. - -For convenience, we have -provided a very simple Terraform configuration to experiment with -deploying Chroma to Azure. - -{% note type="warning" title="" %} -Chroma and its underlying database [need at least 2GB of RAM](./performance#results-summary). When defining your VM size for the template in this example, make sure it meets this requirement. -{% /note %} - -{% note type="warning" title="" %} -In this guide we show you how to secure your endpoint using [Chroma's -native authentication support](./azure#authentication-with-azure). Alternatively, you can put it behind -an API Gateway or add your own -authenticating proxy. This basic stack doesn't support any kind of authentication; -anyone who knows your server IP will be able to add and query for -embeddings. -{% /note %} - -{% note type="warning" title="" %} -By default, this template saves all data on a single -volume. When you delete or replace it, the data will disappear. For -serious production use (with high availability, backups, etc.) please -read and understand the Terraform template and use it as a basis -for what you need, or reach out to the Chroma team for assistance. -{% /note %} - -### Step 1: Install Terraform - -Download [Terraform](https://developer.hashicorp.com/terraform/install?product_intent=terraform) and follow the installation instructions for you OS. - -### Step 2: Authenticate with Azure - -```shell -az login -``` - -### Step 3: Configure your Azure Settings - -Create a `chroma.tfvars` file. Use it to define the following variables for your Azure Resource Group name, VM size, and location. Note that this template creates a new resource group for your Chroma deployment. - -```text -resource_group_name = "your-azure-resource-group-name" -location = "your-location" -machine_type = "Standard_B1s" -``` - -### Step 4: Initialize and deploy with Terraform - -Download our [Azure Terraform configuration](https://github.com/chroma-core/chroma/blob/main/deployments/azure/main.tf) to the same directory as your `chroma.tfvars` file. Then run the following commands to deploy your Chroma stack. - -Initialize Terraform: -```shell -terraform init -``` - -Plan the deployment, and review it to ensure it matches your expectations: -```shell -terraform plan -var-file chroma.tfvars -``` - -Finally, apply the deployment: -```shell -terraform apply -var-file chroma.tfvars -``` - -After a few minutes, you can get the IP address of your instance with -```shell -terraform output -raw public_ip_address -``` - -### Step 5: Chroma Client Set-Up - -Once your Azure VM instance is up and running with Chroma, all -you need to do is configure your `HttpClient` to use the server's IP address and port -`8000`. Since you are running a Chroma server on Azure, our [thin-client package](./thin-client.md) may be enough for your application. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb - -chroma_client = chromadb.HttpClient( - host="", - port=8000 -) -chroma_client.heartbeat() -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "", - port: 8000 -}) -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -### Step 5: Clean Up (optional). - -To destroy the stack and remove all Azure resources, use the `terraform destroy` command. - -{% note type="warning" title="Note" %} -This will destroy all the data in your Chroma database, -unless you've taken a snapshot or otherwise backed it up. -{% /note %} - -```shell -terraform destroy -var-file chroma.tfvars -``` - -## Authentication with Azure - -By default, the Azure VM instance created by our Terraform configuration will run with no authentication. There are many ways to secure your Chroma instance on Azure. In this guide we will use a simple set-up using Chroma's native authentication support. - -You can learn more about authentication with Chroma in the [Auth Guide](/deployment/auth). - -### Static API Token Authentication - -#### Customize Chroma's Terraform Configuration - -{% note type="note" title="Security Note" %} -Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. -{% /note %} - -If, for example, you want the static API token to be "test-token", set the following variables in your `chroma.tfvars`. This will set `Authorization: Bearer test-token` as your authentication header. - -```text -chroma_server_auth_credentials = "test-token" -chroma_server_auth_provider = "chromadb.auth.token_authn.TokenAuthenticationServerProvider" -``` - -To use `X-Chroma-Token: test-token` type of authentication header you can set the `ChromaAuthTokenTransportHeader` parameter: - -```text -chroma_server_auth_credentials = "test-token" -chroma_server_auth_provider = "chromadb.auth.token_authn.TokenAuthenticationServerProvider" -chroma_auth_token_transport_header = "X-Chroma-Token" -``` - -#### Client Set-Up - -Add the `CHROMA_CLIENT_AUTH_CREDENTIALS` environment variable to your local environment, and set it to the token you provided the server (`test-token` in this example): - -```shell -export CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" -``` - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -We will use Chroma's `Settings` object to define the authentication method on the client. - -```python -import os -import chromadb -from chromadb.config import Settings -from dotenv import load_dotenv - -load_dotenv() - -client = chromadb.HttpClient( - host="", - port=8000, - settings=Settings( - chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", - chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") - ) -) - -client.heartbeat() -``` - -If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: - -```python -chroma_auth_token_transport_header=os.getenv("CHROMA_AUTH_TOKEN_TRANSPORT_HEADER") -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "", - auth: { - provider: "token", - credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS, - tokenHeaderType: process.env.CHROMA_AUTH_TOKEN_TRANSPORT_HEADER - } -}) - -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -## Observability with Azure - -Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. We currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). These should allow you to understand how requests flow through the system and quickly identify bottlenecks. - -Tracing is configured with four environment variables: - -- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. -- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. -- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. -- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. - -To enable tracing on your Chroma server, simply define the following variables in your `chroma.tfvars`: - -```text -chroma_otel_collection_endpoint = "api.honeycomb.com" -chroma_otel_service_name = "chromadb" -chroma_otel_collection_headers = "{'x-honeycomb-team': 'abc'}" -chroma_otel_granularity = "all" -``` \ No newline at end of file diff --git a/docs/docs.trychroma.com/pages/deployment/client-server-mode.md b/docs/docs.trychroma.com/pages/deployment/client-server-mode.md deleted file mode 100644 index 3d5c48e47fa..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/client-server-mode.md +++ /dev/null @@ -1,67 +0,0 @@ ---- -title: "Running Chroma in Client-Server Mode" ---- - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -Chroma can also be configured to run in client/server mode. In this mode, the Chroma client connects to a Chroma server running in a separate process. - -This means that you can deploy single-node Chroma to a [Docker container](./docker), or a machine hosted by a cloud provider like [AWS](./aws), GCP, Azure, and others. Then, you can access your Chroma server from your application using our `HttpClient`. - -You can quickly experiment locally with Chroma in client/server mode by using our CLI: - -```shell -chroma run --path /db_path -``` - -Then use the Chroma `HttpClient` to connect to the server: - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb -chroma_client = chromadb.HttpClient(host='localhost', port=8000) -``` - -Chroma also provides an `AsyncHttpClient`. The behaviors and method signatures are identical to the synchronous client, but all methods that would block are now async: - -```python -import asyncio -import chromadb - -async def main(): - client = await chromadb.AsyncHttpClient() - collection = await client.create_collection(name="my_collection") - await collection.add( - documents=["hello world"], - ids=["id1"] - ) - -asyncio.run(main()) -``` - -If you intend to deploy your Chroma server, you may want to consider our [thin-client package](./thin-client) for client-side interactions. - -{% /tab %} - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Javascript" %} - -```javascript -// CJS -const { ChromaClient } = require("chromadb"); -// ESM -import { ChromaClient } from "chromadb"; -const client = new ChromaClient(); -``` - -{% /tab %} diff --git a/docs/docs.trychroma.com/pages/deployment/docker.md b/docs/docs.trychroma.com/pages/deployment/docker.md deleted file mode 100644 index a410d7338ed..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/docker.md +++ /dev/null @@ -1,380 +0,0 @@ ---- -title: Docker ---- - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -{% note type="tip" title="Hosted Chroma" %} -Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. - -[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) - -{% /note %} - -## Run Chroma in a Docker Container - -You can run a Chroma server in a Docker container, and access it using the `HttpClient`. - -If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. - -If you are using a client in a separate container from the one running your Chroma server, you may only need the [thin-client package](./thin-client) - -You can get the Chroma Docker image from [Docker Hub](https://hub.docker.com/r/chromadb/chroma), or from the [Chroma GitHub Container Registry](https://github.com/chroma-core/chroma/pkgs/container/chroma) - -```sh -docker pull chromadb/chroma -docker run -p 8000:8000 chromadb/chroma -``` - -You can also build the Docker image yourself from the Dockerfile in the [Chroma GitHub repository](https://github.com/chroma-core/chroma) - -```sh -git clone git@github.com:chroma-core/chroma.git -cd chroma -docker-compose up -d --build -``` - -The Chroma client can then be configured to connect to the server running in the Docker container. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb -chroma_client = chromadb.HttpClient(host='localhost', port=8000) -chroma_client.heartbeat() -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ path: "http://localhost:8000" }) -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -## Authentication with Docker - -By default, the Docker image will run with no authentication. In client/server mode, Chroma supports the following authentication methods: -* [RFC 7617](https://www.rfc-editor.org/rfc/rfc7617) Basic Auth with `user:password` base64-encoded `Authorization` header. -* Static auth token in `Authorization: Bearer ` or in `X-Chroma-Token: ` headers. - -You can learn more about authentication with Chroma in the [Auth Guide](/deployment/auth). - -### Encrypted User:Password Authentication - -#### Server Set-Up - -##### Generate Server-Side Credentials - -{% note type="note" title="Security Practices" %} -A good security practice is to store the password securely. In the example below we use [bcrypt](https://en.wikipedia.org/wiki/Bcrypt) (currently the only supported hash in Chroma server side auth) to hash the plaintext password. If you'd like to see support for additional hash functions, feel free to [contribute](../contributing) new ones! -{% /note %} - -To generate the password hash, run the following command: - -```bash -docker run --rm --entrypoint htpasswd httpd:2 -Bbn admin admin > server.htpasswd -``` - -This creates the bcrypt password hash for the password `admin`, for the `admin` user, and puts it into `server.htpasswd` in your current working directory. It will look like `admin:`. - -##### Running the Server - -Create a `.chroma_env` file, and set in it the following environment variables: - -```text -CHROMA_SERVER_AUTHN_CREDENTIALS= -CHROMA_SERVER_AUTHN_PROVIDER=chromadb.auth.basic_authn.BasicAuthenticationServerProvider -``` - -Then, run the Chroma container, and pass it your `.chroma_env` using the `--env-file` flag: - -```bash -docker run --env-file ./.chroma_env -p 8000:8000 chromadb/chroma -``` - -#### Client Set-Up - -In your client environment, set the `CHROMA_CLIENT_AUTH_CREDENTIALS` variable to the user:password combination (`admin:admin` in this example): - -```shell -export CHROMA_CLIENT_AUTH_CREDENTIALS="admin:admin" -``` - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Install `python-dotenv`. This will allow us to read the environment variables from `.chroma_env` easily: - -```shell -pip install python-dotenv -``` - -We will use Chroma's `Settings` object to define the authentication method on the client. - -```python -import os -import chromadb -from chromadb.config import Settings -from dotenv import load_dotenv - -load_dotenv('/path/to/your/.chroma_env') - -client = chromadb.HttpClient( - host="localhost", - port=8000, - settings=Settings( - chroma_client_auth_provider="chromadb.auth.basic_authn.BasicAuthClientProvider", - chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") - ) -) - -chroma_client.heartbeat() -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "http://localhost:8000", - auth: { - provider: "basic", - credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS - } -}) - -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -### Static API Token Authentication - -#### Server Set-Up - -{% note type="note" title="Security Note" %} -Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. -{% /note %} - -If, for example, you want the static API token to be "test-token", add the following environment variables to your `.chroma_env`. This will set `Authorization: Bearer test-token` as your authentication header. - -```text -CHROMA_SERVER_AUTHN_CREDENTIALS=test-token -CHROMA_SERVER_AUTHN_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider -``` - -If instead of the default `Authorization: Bearer ` header, you want to use a custom one like `X-Chroma-Token: test-token`, you can set the `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` environment variable: - -```text -CHROMA_SERVER_AUTHN_CREDENTIALS=test-token -CHROMA_SERVER_AUTHN_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider -CHROMA_AUTH_TOKEN_TRANSPORT_HEADER=X-Chroma-Token -``` - -Then, run the Chroma server: - -```bash -docker run --env-file ./.chroma_env -p 8000:8000 chromadb/chroma -``` - -To configure multiple tokens and use them for role-based access control (RBAC), use a file like [this](https://github.com/chroma-core/chroma/blob/main/examples/basic_functionality/authz/authz.yaml) and the following environment variables: - -```text -CHROMA_SERVER_AUTHN_CREDENTIALS_FILE= -CHROMA_SERVER_AUTHZ_CONFIG_FILE= # Note: these are the same! -CHROMA_SERVER_AUTHN_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider -CHROMA_SERVER_AUTHZ_PROVIDER=chromadb.auth.simple_rbac_authz.SimpleRBACAuthorizationProvider -``` - -In this case, you will have to set up a volume to allow the Chroma Docker container to use your `authz.yaml` file: - -```bash -docker run --env-file ./.chroma_env -v :/chroma/ -p 8000:8000 chromadb/chroma -``` - -#### Client Set-Up - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Install `python-dotenv`. This will allow us to read the environment variables from `.chroma_env` easily: - -```shell -pip install python-dotenv -``` - -We will use Chroma's `Settings` object to define the authentication method on the client. - -```python -import os -import chromadb -from chromadb.config import Settings -from dotenv import load_dotenv - -load_dotenv('/path/to/your/.chroma_env') - -client = chromadb.HttpClient( - host="localhost", - port=8000, - settings=Settings( - chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", - chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") - ) -) - -chroma_client.heartbeat() -``` - -If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: - -```python -chroma_auth_token_transport_header=os.getenv("CHROMA_AUTH_TOKEN_TRANSPORT_HEADER") -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "http://localhost:8000", - auth: { - provider: "token", - credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS, - tokenHeaderType: process.env.CHROMA_AUTH_TOKEN_TRANSPORT_HEADER - } -}) - -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -## Observability with Docker - -Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. We currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). These should allow you to understand how requests flow through the system and quickly identify bottlenecks. - -Tracing is configured with four environment variables: - -- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. -- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. -- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. -- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. - -Here is an example of how to create an observability stack with Docker-Compose. The stack is composed of a Chroma server, an [OpenTelemetry Collector](https://github.com/open-telemetry/opentelemetry-collector), and [Zipkin](https://zipkin.io/). - -Set the values for the observability and [authentication](/deployment/docker#authentication-with-docker) environment variables to suit your needs. - -Create the following `otel-collector-config.yaml`: - -```yaml -receivers: - otlp: - protocols: - grpc: - endpoint: 0.0.0.0:4317 - http: - endpoint: 0.0.0.0:4318 - -exporters: - debug: - zipkin: - endpoint: "http://zipkin:9411/api/v2/spans" - -service: - pipelines: - traces: - receivers: [otlp] - exporters: [zipkin, debug] -``` - -This is the configuration file for the OpenTelemetry Collector: -* The `recievers` section specifies that the OpenTelemetry protocol (OTLP) will be used to receive data over GRPC and HTTP. -* `exporters` defines that telemetry data is logged to the console (`debug`), and sent to a `zipkin` server (defined bellow in `docker-compose.yml`). -* The `service` section ties everything together, defining a `traces` pipeline receiving data through our `otlp` receiver and exporting data to `zipkin` and via logging. - -Create the following `docker-compose.yml`: - -```yaml -version: '3.9' -networks: - net: - -services: - zipkin: - image: openzipkin/zipkin - ports: - - "9411:9411" - depends_on: [otel-collector] - networks: - - net - otel-collector: - image: otel/opentelemetry-collector-contrib:0.111.0 - command: ["--config=/etc/otel-collector-config.yaml"] - volumes: - - ${PWD}/otel-collector-config.yaml:/etc/otel-collector-config.yaml - ports: - - "4317:4317" # OTLP - - "4318:4318" - - "55681:55681" # Legacy - networks: - - net - server: - image: ghcr.io/chroma-core/chroma:0.5.13 - volumes: - - index_data:/index_data - ports: - - "8000:8000" - networks: - - net - environment: - - CHROMA_SERVER_AUTHN_PROVIDER=${CHROMA_SERVER_AUTHN_PROVIDER} - - CHROMA_SERVER_AUTHN_CREDENTIALS_FILE=${CHROMA_SERVER_AUTHN_CREDENTIALS_FILE} - - CHROMA_SERVER_AUTHN_CREDENTIALS=${CHROMA_SERVER_AUTHN_CREDENTIALS} - - CHROMA_OTEL_COLLECTION_ENDPOINT=http://otel-collector:4317/ - - CHROMA_OTEL_EXPORTER_HEADERS=${CHROMA_OTEL_EXPORTER_HEADERS:-{}} - - CHROMA_OTEL_SERVICE_NAME=${CHROMA_OTEL_SERVICE_NAME:-chroma} - - CHROMA_OTEL_GRANULARITY=${CHROMA_OTEL_GRANULARITY:-all} - depends_on: - - otel-collector - - zipkin - - -volumes: - index_data: - driver: local - backups: - driver: local -``` - -To start the stack, run from the root of the repo: - -```bash -docker compose up --build -d -``` - -Once the stack is running, you can access Zipkin at http://localhost:9411 when running locally to see your traces. - -{% note type="tip" title="Traces" %} -Traces in Zipkin will start appearing after you make a request to Chroma. -{% /note %} \ No newline at end of file diff --git a/docs/docs.trychroma.com/pages/deployment/encryption.md b/docs/docs.trychroma.com/pages/deployment/encryption.md deleted file mode 100644 index 347cfdd854b..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/encryption.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Encryption ---- diff --git a/docs/docs.trychroma.com/pages/deployment/gcp.md b/docs/docs.trychroma.com/pages/deployment/gcp.md deleted file mode 100644 index 9bee99952a9..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/gcp.md +++ /dev/null @@ -1,284 +0,0 @@ ---- -title: "☁️ GCP Deployment" ---- - - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -{% note type="tip" title="Hosted Chroma" %} -Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. - -[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) - -{% /note %} - -{% note type="tip" title="" %} -If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. -This is the best place to - -1. Get support with building with Chroma in prod. -2. Stay up-to-date with exciting new features. -3. Get swag! - -We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. -{% /note %} - -## A Simple GCP Deployment - -You can deploy Chroma on a long-running server, and connect to it -remotely. - -For convenience, we have -provided a very simple Terraform configuration to experiment with -deploying Chroma to Google Compute Engine. - -{% note type="warning" title="" %} -Chroma and its underlying database [need at least 2GB of RAM](./performance#results-summary), -which means it won't fit on the instances provided as part of the -GCP "always free" tier. This template uses an [`e2-small`](https://cloud.google.com/compute/docs/general-purpose-machines#e2_machine_types) instance, which -costs about two cents an hour, or $15 for a full month, and gives you 2GiB of memory. If you follow these -instructions, GCP will bill you accordingly. -{% /note %} - -{% note type="warning" title="" %} -In this guide we show you how to secure your endpoint using [Chroma's -native authentication support](./gcp#authentication-with-gcp). Alternatively, you can put it behind -[GCP API Gateway](https://cloud.google.com/api-gateway/docs) or add your own -authenticating proxy. This basic stack doesn't support any kind of authentication; -anyone who knows your server IP will be able to add and query for -embeddings. -{% /note %} - -{% note type="warning" title="" %} -By default, this template saves all data on a single -volume. When you delete or replace it, the data will disappear. For -serious production use (with high availability, backups, etc.) please -read and understand the Terraform template and use it as a basis -for what you need, or reach out to the Chroma team for assistance. -{% /note %} - -### Step 1: Set up your GCP credentials - -In your GCP project, create a service account for deploying Chroma. It will need the following roles: -* Service Account User -* Compute Admin -* Compute Network Admin -* Storage Admin - -Create a JSON key file for this service account, and download it. Set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable to the path of your JSON key file: - -```shell -export GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account-key.json" -``` - -### Step 2: Install Terraform - -Download [Terraform](https://developer.hashicorp.com/terraform/install?product_intent=terraform) and follow the installation instructions for you OS. - -### Step 3: Configure your GCP Settings - -Create a `chroma.tfvars` file. Use it to define the following variables for your GCP project ID, region, and zone: - -```text -project_id="" -region="" -zone="" -``` - -### Step 4: Initialize and deploy with Terraform - -Download our [GCP Terraform configuration](https://github.com/chroma-core/chroma/blob/main/deployments/gcp/main.tf) to the same directory as your `chroma.tfvars` file. Then run the following commands to deploy your Chroma stack. - -Initialize Terraform: -```shell -terraform init -``` - -Plan the deployment, and review it to ensure it matches your expectations: -```shell -terraform plan -var-file chroma.tfvars -``` -If you did not customize our configuration, you should be deploying an `e2-small` instance. - -Finally, apply the deployment: -```shell -terraform apply -var-file chroma.tfvars -``` - -#### Customize the Stack (optional) - -If you want to use a machine type different from the default `e2-small`, in your `chroma.tfvars` add the `machine_type` variable and set it to your desired machine: - -```text -machine_type = "e2-medium" -``` - -After a few minutes, you can get the IP address of your instance with -```shell -terraform output -raw chroma_instance_ip -``` - -### Step 5: Chroma Client Set-Up - -Once your Compute Engine instance is up and running with Chroma, all -you need to do is configure your `HttpClient` to use the server's IP address and port -`8000`. Since you are running a Chroma server on GCP, our [thin-client package](./thin-client.md) may be enough for your application. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb - -chroma_client = chromadb.HttpClient( - host="", - port=8000 -) -chroma_client.heartbeat() -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "", - port: 8000 -}) -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -### Step 5: Clean Up (optional). - -To destroy the stack and remove all GCP resources, use the `terraform destroy` command. - -{% note type="warning" title="Note" %} -This will destroy all the data in your Chroma database, -unless you've taken a snapshot or otherwise backed it up. -{% /note %} - -```shell -terraform destroy -var-file chroma.tfvars -``` - -## Authentication with GCP - -By default, the Compute Engine instance created by our Terraform configuration will run with no authentication. There are many ways to secure your Chroma instance on GCP. In this guide we will use a simple set-up using Chroma's native authentication support. - -You can learn more about authentication with Chroma in the [Auth Guide](/deployment/auth). - -### Static API Token Authentication - -#### Customize Chroma's Terraform Configuration - -{% note type="note" title="Security Note" %} -Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. -{% /note %} - -If, for example, you want the static API token to be "test-token", set the following variables in your `chroma.tfvars`. This will set `Authorization: Bearer test-token` as your authentication header. - -```text -chroma_server_auth_credentials = "test-token" -chroma_server_auth_provider = "chromadb.auth.token_authn.TokenAuthenticationServerProvider" -``` - -To use `X-Chroma-Token: test-token` type of authentication header you can set the `ChromaAuthTokenTransportHeader` parameter: - -```text -chroma_server_auth_credentials = "test-token" -chroma_server_auth_provider = "chromadb.auth.token_authn.TokenAuthenticationServerProvider" -chroma_auth_token_transport_header = "X-Chroma-Token" -``` - -#### Client Set-Up - -Add the `CHROMA_CLIENT_AUTH_CREDENTIALS` environment variable to your local environment, and set it to the token you provided the server (`test-token` in this example): - -```shell -export CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" -``` - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -We will use Chroma's `Settings` object to define the authentication method on the client. - -```python -import os -import chromadb -from chromadb.config import Settings -from dotenv import load_dotenv - -load_dotenv() - -client = chromadb.HttpClient( - host="", - port=8000, - settings=Settings( - chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", - chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") - ) -) - -client.heartbeat() -``` - -If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: - -```python -chroma_auth_token_transport_header=os.getenv("CHROMA_AUTH_TOKEN_TRANSPORT_HEADER") -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -import { ChromaClient } from "chromadb"; - -const chromaClient = new ChromaClient({ - path: "", - auth: { - provider: "token", - credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS, - tokenHeaderType: process.env.CHROMA_AUTH_TOKEN_TRANSPORT_HEADER - } -}) - -chromaClient.heartbeat() -``` - -{% /tab %} -{% /tabs %} - -## Observability with GCP - -Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. We currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). These should allow you to understand how requests flow through the system and quickly identify bottlenecks. - -Tracing is configured with four environment variables: - -- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. -- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. -- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. -- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. - -To enable tracing on your Chroma server, simply define the following variables in your `chroma.tfvars`: - -```text -chroma_otel_collection_endpoint = "api.honeycomb.com" -chroma_otel_service_name = "chromadb" -chroma_otel_collection_headers = "{'x-honeycomb-team': 'abc'}" -chroma_otel_granularity = "all" -``` \ No newline at end of file diff --git a/docs/docs.trychroma.com/pages/deployment/in-memory.md b/docs/docs.trychroma.com/pages/deployment/in-memory.md deleted file mode 100644 index 5db5e7da17f..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/in-memory.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: In-memory ---- diff --git a/docs/docs.trychroma.com/pages/deployment/index.md b/docs/docs.trychroma.com/pages/deployment/index.md deleted file mode 100644 index cdf93628de8..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/index.md +++ /dev/null @@ -1,47 +0,0 @@ ---- -title: ☁️ Deployment ---- - -*** - -{% note type="tip" title="Hosted Chroma" %} -Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. - -[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) - -{% /note %} - -{% note type="tip" title="" %} -If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. -This is the best place to - -1. Get support with building with Chroma in prod. -2. Stay up-to-date with exciting new features. -3. Get swag! - -We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. -{% /note %} - -You can run Chroma single-node in [client/server mode](/deployment/client-server-mode), and easily deploy it. In this section, we also show you how to make sure your Chroma server is secure and reliable, and how to understand its performance at scale. - - -### Containers -* 🐳 [Docker](/deployment/docker) -* Kubernetes - Coming Soon! - -### Cloud Providers - -* [AWS](/deployment/aws) -* [GCP](/deployment/gcp) -* [Azure](/deployment/azure) - -*** - -### Administration - -Running a server in production requires a few additional steps to ensure the server is secure and reliable. - -* [🚀 Performance](/deployment/performance) -* [👀 Observability](/deployment/observability) -* [✈️ Migration](/deployment/migration) -* [🔒 Auth](/deployment/auth) diff --git a/docs/docs.trychroma.com/pages/deployment/kubernetes.md b/docs/docs.trychroma.com/pages/deployment/kubernetes.md deleted file mode 100644 index cd640f053a7..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/kubernetes.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Kubernetes ---- diff --git a/docs/docs.trychroma.com/pages/deployment/logging.md b/docs/docs.trychroma.com/pages/deployment/logging.md deleted file mode 100644 index 78563e8b184..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/logging.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Logging ---- diff --git a/docs/docs.trychroma.com/pages/deployment/migration.md b/docs/docs.trychroma.com/pages/deployment/migration.md deleted file mode 100644 index 4f94c68684e..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/migration.md +++ /dev/null @@ -1,343 +0,0 @@ ---- -title: "✈️ Migration" ---- - -Schema and data format changes are a necessary evil of evolving software. We take changes seriously and make them infrequently and only when necessary. - -Chroma's commitment is whenever schema or data format change, we will provide a seamless and easy-to-use migration tool to move to the new schema/format. - -Specifically we will announce schema changes on: - -- Discord ([#migrations channel](https://discord.com/channels/1073293645303795742/1129286514845691975)) -- Github ([here](https://github.com/chroma-core/chroma/issues)) -- Email listserv [Sign up](https://airtable.com/shrHaErIs1j9F97BE) - -We will aim to provide: - -- a description of the change and the rationale for the change. -- a CLI migration tool you can run -- a video walkthrough of using the tool - -## Migration Log - -### v0.6.0 - -`list_collections` now returns a list of collection *names*, instead of collection objects. - -Previously, `list_collections` returned a list of collection objects, configured with the default embedding function. If one of your collections was created with a different embedding function, using the version returned by `list_collections` would result in various errors. - -We are working on embedding function persistence to allow you to configure a collection with an embedding function once, and not have to specify it again (in `get_collection` for example). - -### v0.5.17 - -We no longer support sending empty lists or dictionaries for metadata filtering, ID filtering, etc. For example, - -```python -collection.get( - ids=["id1", "id2", "id3", ...], - where={} -) -``` - -is not supported. Instead, use: - -```python -collection.get(ids=["id1", "id2", "id3", ...]) -``` - -### v0.5.12 - -The operators `$ne` (not equal) and `$nin` (not in) in `where` clauses have been updated: -* Previously: They only matched records that had the specified key. -* Now: They also match records that don't have the specified key at all. - -In other words, `$ne` and `$nin` now match the complement set of records (the exact opposite) that `$eq` (equals) and `$in` (in) would match, respectively. - -The `$not_contains` operator in the `where_document` clause has also been updated: -* Previously: It only matched records that had a document field. -* Now: It also matches records that don't have a document field at all. - -In other words, `$not_contains` now matches the exact opposite set of records that `$contains` would match. - -`RateLimitingProvider` is now deprecated and replaced by `RateLimitEnforcer`. This new interface allows you to wrap server calls with rate limiting logic. The default `SimpleRateLimitEnforcer` implementation allows all requests, but you can create custom implementations for more advanced rate limiting strategies. -### v0.5.11 - -The results returned by `collection.get()` is now ordered by internal ids. Whereas previously, the results were ordered by user provided ids, although this behavior was not explicitly documented. We would like to make the change because using user provided ids may not be ideal for performance in hosted Chroma, and we hope to propagate the change to local Chroma for consistency of behavior. In general, newer documents in Chroma has larger internal ids. - -A subsequent change in behavior is `limit` and `offset`, which depends on the order of returned results. For example, if you have a collection named `coll` of documents with ids `["3", "2", "1", "0"]` inserted in this order, then previously `coll.get(limit=2, offset=2)["ids"]` gives you `["2", "3"]`, while currently this will give you `["1", "0"]`. - -We have also modified the behavior of `client.get_or_create`. Previously, if a collection already existed and the `metadata` argument was provided, the existing collection's metadata would be overwritten with the new values. This has now changed. If the collection already exists, get_or_create will simply return the existing collection with the specified name, and any additional arguments—including `metadata`—will be ignored. - -Finally, the embeddings returned from `collection.get()`, `collection.query()`, and `collection.peek()` are now represented as 2-dimensional NumPy arrays instead of Python lists. When adding embeddings, you can still use either a Python list or a NumPy array. If your request returns multiple embeddings, the result will be a Python list containing 2-dimensional NumPy arrays. This change is part of our effort to enhance performance in Local Chroma by using NumPy arrays for internal representation of embeddings. - -### v0.5.6 - -Chroma internally uses a write-ahead log. In all versions prior to v0.5.6, this log was never pruned. This resulted in the data directory being much larger than it needed to be, as well as the directory size not decreasing by the expected amount after deleting a collection. - -In v0.5.6 the write-ahead log is pruned automatically. However, this is not enabled by default for existing databases. After upgrading, you should run `chroma utils vacuum` once to reduce your database size and enable continuous pruning. See the [CLI reference](/reference/cli#vacuuming) for more details. - -This does not need to be run regularly and does not need to be run on new databases created with v0.5.6 or later. - -### v0.5.1 - -On the Python client, the `max_batch_size` property was removed. It wasn't previously documented, but if you were reading it, you should now use `get_max_batch_size()`. - -The first time this is run, it makes a HTTP request. We made this a method to make it more clear that it's potentially a blocking operation. - -### Auth overhaul - April 20, 2024 - -**If you are not using Chroma's [built-in auth system](https://docs.trychroma.com/deployment/auth), you do not need to take any action.** - -This release overhauls and simplifies our authentication and authorization systems. -If you are you using Chroma's built-in auth system, you will need to update your configuration and -any code you wrote to implement your own authentication or authorization providers. -This change is mostly to pay down some of Chroma's technical debt and make future changes easier, -but it also changes and simplifies user configuration. -If you are not using Chroma's built-in auth system, you do not need to take any action. - -Previously, Chroma's authentication and authorization relied on many objects with many configuration options, including: - -- `chroma_server_auth_provider` -- `chroma_server_auth_configuration_provider` -- `chroma_server_auth_credentials_provider` -- `chroma_client_auth_credentials_provider` -- `chroma_client_auth_protocol_adapter` - -and others. - -We have consolidated these into three classes: - -- `ClientAuthProvider` -- `ServerAuthenticationProvider` -- `ServerAuthorizationProvider` - -`ClientAuthProvider`s are now responsible for their own configuration and credential management. Credentials can be given to them with the `chroma_client_auth_credentials` setting. The value for `chroma_client_auth_credentials` depends on the `ServerAuthenticationProvider`; for `TokenAuthenticationServerProvider` it should just be the token, and for `BasicAuthenticationServerProvider` it should be `username:password`. - -`ServerAuthenticationProvider`s are responsible for turning a request's authorization information into a `UserIdentity` containing any information necessary to make an authorization decision. They are now responsible for their own configuration and credential management. Configured via the `chroma_server_authn_credentials` and `chroma_server_authn_credentials_file` settings. - -`ServerAuthorizationProvider`s are responsible for turning information about the request and the `UserIdentity` which issued the request into an authorization decision. Configured via the `chroma_server_authz_config` and `chroma_server_authz_config_file` settings. - -_Either `_authn_credentials` or `authn_credentials_file` can be set, never both. Same for `authz_config` and `authz_config_file`. The value of the config (or data in the config file) will depend on your authn and authz providers. See [here](https://github.com/chroma-core/chroma/tree/main/examples/basic_functionality/authz) for more information._ - -The two auth systems Chroma ships with are `Basic` and `Token`. We have a small migration guide for each. - -#### Basic - -If you're using `Token` auth, your server configuration might look like: - -```yaml -CHROMA_SERVER_AUTH_CREDENTIALS="admin:admin" -CHROMA_SERVER_AUTH_CREDENTIALS_FILE="./example_file" -CHROMA_SERVER_AUTH_CREDENTIALS_PROVIDER="chromadb.auth.providers.HtpasswdConfigurationServerAuthCredentialsProvider" -CHROMA_SERVER_AUTH_PROVIDER="chromadb.auth.basic.BasicAuthServerProvider" -``` - -_Note: Only one of `AUTH_CREDENTIALS` and `AUTH_CREDENTIALS_FILE` can be set, but this guide shows how to migrate both._ - -And your corresponding client configation: - -```yaml -CHROMA_CLIENT_AUTH_PROVIDER="chromadb.auth.token.TokenAuthClientProvider" -CHROMA_CLIENT_AUTH_CREDENTIALS="admin:admin" -``` - -To migrate to the new server configuration, simply change it to: - -```yaml -CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" -CHROMA_SERVER_AUTHN_CREDENTIALS="test-token" -CHROMA_SERVER_AUTHN_CREDENTIALS_FILE="./example_file" -``` - -New client configuration: - -```yaml -CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" -CHROMA_CLIENT_AUTH_PROVIDER="chromadb.auth.basic_authn.BasicAuthClientProvider" -``` - -#### Token - -If you're using `Token` auth, your server configuration might look like: - -```yaml -CHROMA_SERVER_AUTH_CREDENTIALS="test-token" -CHROMA_SERVER_AUTH_CREDENTIALS_FILE="./example_file" -CHROMA_SERVER_AUTH_CREDENTIALS_PROVIDER="chromadb.auth.token.TokenConfigServerAuthCredentialsProvider" -CHROMA_SERVER_AUTH_PROVIDER="chromadb.auth.token.TokenAuthServerProvider" -CHROMA_SERVER_AUTH_TOKEN_TRANSPORT_HEADER="AUTHORIZATION" -``` - -_Note: Only one of `AUTH_CREDENTIALS` and `AUTH_CREDENTIALS_FILE` can be set, but this guide shows how to migrate both._ - -And your corresponding client configation: - -```yaml -CHROMA_CLIENT_AUTH_PROVIDER="chromadb.auth.token.TokenAuthClientProvider" -CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" -CHROMA_CLIENT_AUTH_TOKEN_TRANSPORT_HEADER="AUTHORIZATION" -``` - -To migrate to the new server configuration, simply change it to: - -```yaml -CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" -CHROMA_SERVER_AUTHN_CREDENTIALS="test-token" -CHROMA_SERVER_AUTHN_CREDENTIALS_FILE="./example_file" -CHROMA_AUTH_TOKEN_TRANSPORT_HEADER="AUTHORIZATION" -``` - -New client configuration: - -```yaml -CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" -CHROMA_CLIENT_AUTH_PROVIDER="chromadb.auth.token_authn.TokenAuthClientProvider" -CHROMA_AUTH_TOKEN_TRANSPORT_HEADER="AUTHORIZATION" -``` - -#### Reference of changed configuration values - -- Overall config - - `chroma_client_auth_token_transport_header`: renamed to `chroma_auth_token_transport_header`. - - `chroma_server_auth_token_transport_header`: renamed to `chroma_auth_token_transport_header`. -- Client config - - `chroma_client_auth_credentials_provider`: deleted. Functionality is now in `chroma_client_auth_provider`. - - `chroma_client_auth_protocol_adapter`: deleted. Functionality is now in `chroma_client_auth_provider`. - - `chroma_client_auth_credentials_file`: deleted. Functionality is now in `chroma_client_auth_credentials`. - - These changes also apply to the Typescript client. -- Server authn - - `chroma_server_auth_provider`: Renamed to `chroma_server_authn_provider`. - - `chroma_server_auth_configuration_provider`: deleted. Functionality is now in `chroma_server_authn_provider`. - - `chroma_server_auth_credentials_provider`: deleted. Functionality is now in `chroma_server_authn_provider`. - - `chroma_server_auth_credentials_file`: renamed to `chroma_server_authn_credentials_file`. - - `chroma_server_auth_credentials`: renamed to `chroma_server_authn_credentials`. - - `chroma_server_auth_configuration_file`: renamed to `chroma_server_authn_configuration_file`. -- Server authz - - `chroma_server_authz_ignore_paths`: deleted. Functionality is now in `chroma_server_auth_ignore_paths`. - -To see the full changes, you can read the [PR](https://github.com/chroma-core/chroma/pull/1970/files) or reach out to the Chroma team on [Discord](https://discord.gg/MMeYNTmh3x). - -### Migration to 0.4.16 - November 7, 2023 - -This release adds support for multi-modal embeddings, with an accompanying change to the definitions of `EmbeddingFunction`. -This change mainly affects users who have implemented their own `EmbeddingFunction` classes. If you are using Chroma's built-in embedding functions, you do not need to take any action. - -**EmbeddingFunction** - -Previously, `EmbeddingFunction`s were defined as: - -```python -class EmbeddingFunction(Protocol): - def __call__(self, texts: Documents) -> Embeddings: - ... -``` - -After this update, `EmbeddingFunction`s are defined as: - -```python -Embeddable = Union[Documents, Images] -D = TypeVar("D", bound=Embeddable, contravariant=True) - -class EmbeddingFunction(Protocol[D]): - def __call__(self, input: D) -> Embeddings: - ... -``` - -The key differences are: - -- `EmbeddingFunction` is now generic, and takes a type parameter `D` which is a subtype of `Embeddable`. This allows us to define `EmbeddingFunction`s which can embed multiple modalities. -- `__call__` now takes a single argument, `input`, to support data of any type `D`. The `texts` argument has been removed. - -### Migration from >0.4.0 to 0.4.0 - July 17, 2023 - -What's new in this version? - -- New easy way to create clients -- Changed storage method -- `.persist()` removed, `.reset()` no longer on by default - -**New Clients** - -```python -### in-memory ephemeral client - -# before -import chromadb -client = chromadb.Client() - -# after -import chromadb -client = chromadb.EphemeralClient() - - -### persistent client - -# before -import chromadb -from chromadb.config import Settings -client = chromadb.Client(Settings( - chroma_db_impl="duckdb+parquet", - persist_directory="/path/to/persist/directory" # Optional, defaults to .chromadb/ in the current directory -)) - -# after -import chromadb -client = chromadb.PersistentClient(path="/path/to/persist/directory") - - -### http client (to talk to server backend) - -# before -import chromadb -from chromadb.config import Settings -client = chromadb.Client(Settings(chroma_api_impl="rest", - chroma_server_host="localhost", - chroma_server_http_port="8000" - )) - -# after -import chromadb -client = chromadb.HttpClient(host="localhost", port="8000") - -``` - -You can still also access the underlying `.Client()` method. If you want to turn off telemetry, all clients support custom settings: - -```python -import chromadb -from chromadb.config import Settings -client = chromadb.PersistentClient( - path="/path/to/persist/directory", - settings=Settings(anonymized_telemetry=False)) -``` - -**New data layout** - -This version of Chroma drops `duckdb` and `clickhouse` in favor of `sqlite` for metadata storage. This means migrating data over. We have created a migration CLI utility to do this. - -If you upgrade to `0.4.0` and try to access data stored in the old way, you will see this error message - -> You are using a deprecated configuration of Chroma. Please pip install chroma-migrate and run `chroma-migrate` to upgrade your configuration. See https://docs.trychroma.com/deployment/migration for more information or join our discord at https://discord.gg/8g5FESbj for help! - -Here is how to install and use the CLI: - -``` -pip install chroma-migrate -chroma-migrate -``` - -![](/img/chroma-migrate.png) - -If you need any help with this migration, please reach out! We are on [Discord](https://discord.com/channels/1073293645303795742/1129286514845691975) ready to help. - -**Persist & Reset** - -`.persist()` was in the old version of Chroma because writes were only flushed when forced to. Chroma `0.4.0` saves all writes to disk instantly and so `persist` is no longer needed. - -`.reset()`, which resets the entire database, used to by enabled-by-default which felt wrong. `0.4.0` has it disabled-by-default. You can enable it again by passing `allow_reset=True` to a Settings object. For example: - -```python -import chromadb -from chromadb.config import Settings -client = chromadb.PersistentClient(path="./path/to/chroma", settings=Settings(allow_reset=True)) -``` diff --git a/docs/docs.trychroma.com/pages/deployment/observability.md b/docs/docs.trychroma.com/pages/deployment/observability.md deleted file mode 100644 index 40bb435bf63..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/observability.md +++ /dev/null @@ -1,36 +0,0 @@ ---- -title: "👀 Observability" ---- - -## Backend Observability - -Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. - -{% note type="default" title="Telemetry vs Observability" %} -"[Telemetry](/telemetry)" refers to anonymous product usage statistics we collect. "Observability" refers to metrics, logging, and tracing which can be used by anyone operating a Chroma deployment. Observability features listed on this page are **never** sent back to Chroma; they are for end-users to better understand how their Chroma deployment is behaving. -{% /note %} - -### Available Observability - -Chroma currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). Traces allow a Chroma operator to understand how requests flow through the system and quickly identify bottlenecks. - -### Configuration - -Tracing is configured with four environment variables: - -- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. -- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. -- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. -- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. - -We also have dedicated observability guides for various deployments: -* [Docker](/deployment/docker#observability-with-docker) -* [AWS](/deployment/aws#observability-with-AWS) -* [GCP](/deployment/gcp#observability-with-GCP) -* [Azure](/deployment/azure#observability-with-Azure) - -## Client (SDK) Observability - -Several observability platforms offer built-in integrations for Chroma, allowing you to monitor your application's interactions with the Chroma server: -- [OpenLLMetry Integration](/integrations/openllmetry). -- [OpenLIT Integration](/integrations/openlit). diff --git a/docs/docs.trychroma.com/pages/deployment/performance.md b/docs/docs.trychroma.com/pages/deployment/performance.md deleted file mode 100644 index 2b0c28e27c9..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/performance.md +++ /dev/null @@ -1,131 +0,0 @@ ---- -title: "Single-Node Chroma: Performance and Limitations" ---- - -The single-node version of Chroma is designed to be easy to deploy and maintain, while still providing robust performance that satisfies a broad range of production applications. - -To help you understand when single-node Chroma is a good fit for your use case, we have performed a series of stress tests and performance experiments to probe the system’s capabilities and discover its limitations and edge cases. We analyzed these boundaries across a range of hardware configurations, to determine what sort of deployment is appropriate for different workloads. - -This document describes these findings, as well as some general principles for getting the most out of your Chroma deployment. - -## Results Summary - -Roughly speaking, here is the sort of performance you can expect from Chroma on different EC2 instance types with a very typical workload: - -- 1024 dimensional embeddings -- Small documents (100-200 words) -- Three metadata fields per record. - -{% special_table %} -{% /special_table %} - -| Instance Type | System RAM | Approx. Max Collection Size | Mean Latency (insert) | 99.9% Latency (insert) | Mean Latency (query) | 99.9% Latency (query) | Monthly Cost | -|-----------------|------------|-----------------------------|-----------------------|------------------------|----------------------|-----------------------|--------------| -| **t3.small** | 2 | 250,000 | 55ms | 250ms | 22ms | 72ms | $15.936 | -| **t3.medium** | 4 | 700,000 | 37ms | 120ms | 14ms | 41ms | $31.072 | -| **t3.large** | 8 | 1,700,000 | 30ms | 100ms | 13ms | 35ms | $61.344 | -| **t3.xlarge** | 16 | 3,600,000 | 30ms | 100ms | 13ms | 30ms | $121.888 | -| **t3.2xlarge** | 32 | 7,500,000 | 30ms | 100ms | 13ms | 30ms | $242.976 | -| **r7i.2xlarge** | 64 | 15,000,000 | 13ms | 50ms | 7ms | 13ms | $386.944 | - -{% br %}{% /br %} - -Deploying Chroma on a system with less than 2GB of RAM is **not** recommended. - -Note that the latency figures in this table are for small collections. Latency increases as collections grow: see [Latency and collection size](./performance#latency-and-collection-size) below for a full analysis. - -## Memory and collection size - -Chroma uses a fork of [`hnswlib`](https://github.com/nmslib/hnswlib) to efficiently index and search over embedding vectors. The HNSW algorithm requires that the embedding index reside in system RAM to query or update. - -As such, the amount of available system memory defines an upper bound on the size of a Chroma collection (or multiple collections, if they are being used concurrently.) If a collection grows larger than available memory, insert and query latency spike rapidly as the operating system begins swapping memory to disk. The memory layout of the index is not amenable to swapping, and the system quickly becomes unusable. - -Therefore, users should always plan on having enough RAM provisioned to accommodate the anticipated total number of embeddings. - -To analyze how much RAM is required, we launched an an instance of Chroma on variously sized EC2 instances, then inserted embeddings until each system became non-responsive. As expected, this failure point corresponded linearly to RAM and embedding count. - -For 1024 dimensional embeddings, with three metadata records and a small document per embedding, this works out to `N = R * 0.245` where `N` is the max collection size in millions, and `R` is the amount of system RAM required in gigabytes. Remember, you wil also need reserve at least a gigabyte for the system’s other needs, in addition to the memory required by Chroma. - -This pattern holds true up through about 7 million embeddings, which is as far as we tested. At this point Chroma is still fast and stable, and we did not find a strict upper bound on the size of a Chroma database. - -## Disk space and collection size - -Chroma durably persists each collection to disk. The amount of space required is a combination of the space required to save the HNSW embedding index, and the space required by the sqlite database used to store documents and embedding metadata. - -The calculations for persisting the HNSW index are similar to that for calculating RAM size. As a rule of thumb, just make sure a system’s storage is at least as big as its RAM, plus several gigabytes to account for the overhead of the operating system and other applications. - -The amount of space required by the sqlite database is highly variable, and depends entirely on whether documents and metadata are being saved in Chroma, and if so, how large they are. Fully exploring all permutations of this are beyond the scope of the experiments we were able to run. - -However, as a single data point, the sqlite database for a collection with ~40k documents of 1000 words each, and ~600k metadata entries was about 1.7gb. - -There is no strict upper bound on the size of the metadata database: sqlite itself supports databases into the terabyte range, and can page to disk effectively. - -In most realistic use cases, it’s likely that the size and performance of the HNSW index in RAM becomes the limiting factor on a Chroma collection’s size long before the metadata database does. - -## Latency and collection size - -As collections get larger and the size of the index grows, inserts and queries both take longer to complete. The rate of increase starts out fairly flat then grow roughly linearly, with the inflection point and slope depending on the quantity and speed of CPUs available. - -### Query Latency - -![query-latency](/img/query-latency.png) - -### Insert Latency - -![insert-latency](/img/insert-latency.png) - -{% note type="tip" title="" %} -If you’re using multiple collections, performance looks quite similar, based on the total number of embeddings across collections. Splitting collections into multiple smaller collections doesn’t help, but it doesn’t hurt, either, as long as they all fit in memory at once. -{% /note %} - -## Concurrency - -Although aspects of HNSW’s algorithm are multithreaded internally, only one thread can read or write to a given index at a time. For the most part, single-node Chroma is fundamentally single threaded. If a operation is executed while another is still in progress, it blocks until the first one is complete. - -This means that under concurrent load, the average latency of each request will increase. - -When writing, the increased latency is more pronounced with larger batch sizes, as the system is more completely saturated. We have experimentally verified this: as the number of concurrent writers is increased, average latency increases linearly. - -![concurrent-writes](/img/concurrent-writes.png) - -![concurrent-queries](/img/concurrent-queries.png) - -Despite the effect on latency, Chroma does remain stable with high concurrent load. Too many concurrent users can eventually increase latency to the point where the system does not perform acceptably, but this typically only happens with larger batch sizes. As the above graphs shows, the system remains usable with dozens to hundreds of operations per second. - -See the [Insert Throughput](./performance#insert-throughput) section below for a discussion of optimizing user count for maximum throughput when the concurrency is under your control, such as when inserting bulk data. - -# CPU speed, core count & type - -As a CPU bound application, it’s not surprising that CPU speed and type makes a difference for average latency. - -As the data demonstrates, although it is not fully parallelized, Chroma can still take some advantage of multiple CPU cores for better throughput. - -![cpu-mean-query-latency](/img/cpu-mean-query-latency.png) - -{% note type="tip" title="" %} -Note the slightly increased latency for the t3.2xlarge instance. Logically, it should be faster than the other t3 series instances, since it has the same class of CPU, and more of them. - -This data point is left in as an important reminder that the performance of EC2 instances is slightly variable, and it’s entirely possible to end up with an instance that has performance differences for no discernible reason. -{% /note %} - -# Insert Throughput - -A question that is often relevant is: given bulk data to insert, how fast is it possible to do so, and what’s the best way to insert a lot of data quickly? - -The first important factor to consider is the number of concurrent insert requests. - -As mentioned in the [Concurrency](./performance#concurrency) section above, actual insertion throughput does not benefit from concurrency. However, there is some amount of network and HTTP overhead which can be parallelized. Therefore, to saturate Chroma while keeping latencies as low as possible, we recommend 2 concurrent client processes or threads inserting as fast as possible. - -The second factor to consider is the batch size of each request. Performance is mostly linear with respect to batch size, with a constant overhead to process the HTTP request itself. - -Experimentation confirms this: overall throughput (total number of embeddings inserted, across batch size and request count) remains fairly flat between batch sizes of 100-500: - -![concurrent-inserts](/img/concurrent-inserts.png) - -Given that smaller batches have lower, more consistent latency and are less likely to lead to timeout errors, we recommend batches on the smaller side of this curve: anything between 50 and 250 is a reasonable choice. - -## Conclusion - -Users should feel comfortable relying on Chroma for use cases approaching tens of millions of embeddings, when deployed on the right hardware. It’s average and upper-bound latency for both reads and writes make it a good platform for all but the largest AI-based applications, supporting potentially thousands of simultaneous human users (depending on your application’s backend access patterns.) - -As a single-node solution, though, it won’t scale forever. If you find your needs exceeding the parameters laid out in this analysis, we are extremely interested in hearing from you. Please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. We would love to help you think through the design of your system, whether Chroma has a place in it, or if you would be a good fit for our upcoming distributed cloud service. diff --git a/docs/docs.trychroma.com/pages/deployment/persistent-client.md b/docs/docs.trychroma.com/pages/deployment/persistent-client.md deleted file mode 100644 index 3598c7304c1..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/persistent-client.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Persistent Client ---- diff --git a/docs/docs.trychroma.com/pages/deployment/security.md b/docs/docs.trychroma.com/pages/deployment/security.md deleted file mode 100644 index 77350687f54..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/security.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Security ---- diff --git a/docs/docs.trychroma.com/pages/deployment/thin-client.md b/docs/docs.trychroma.com/pages/deployment/thin-client.md deleted file mode 100644 index 47e8a6b7f8a..00000000000 --- a/docs/docs.trychroma.com/pages/deployment/thin-client.md +++ /dev/null @@ -1,27 +0,0 @@ ---- -title: "Chroma's Thin-Client" ---- - -If you are running Chroma in client-server mode in a Python application, you may not need the full Chroma Python library. Instead, you can use the lightweight client-only library. -In this case, you can install the `chromadb-client` package **instead** of our `chromadb` package. - -The `chromadb-client` package is a lightweight HTTP client for the server with a minimal dependency footprint. - - -```python -pip install chromadb-client -``` - -```python -import chromadb -# Example setup of the client to connect to your chroma server -client = chromadb.HttpClient(host='localhost', port=8000) - -# Or for async usage: -async def main(): - client = await chromadb.AsyncHttpClient(host='localhost', port=8000) -``` - -Note that the `chromadb-client` package is a subset of the full Chroma library and does not include all the dependencies. If you want to use the full Chroma library, you can install the `chromadb` package instead. - -Most importantly, the thin-client package has no default embedding functions. If you `add()` documents without embeddings, you must have manually specified an embedding function and installed the dependencies for it. diff --git a/docs/docs.trychroma.com/pages/docs/index.md b/docs/docs.trychroma.com/pages/docs/index.md deleted file mode 100644 index 7137deb37d0..00000000000 --- a/docs/docs.trychroma.com/pages/docs/index.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Overview ---- diff --git a/docs/docs.trychroma.com/pages/examples/_sidenav.js b/docs/docs.trychroma.com/pages/examples/_sidenav.js deleted file mode 100644 index cd2161d28af..00000000000 --- a/docs/docs.trychroma.com/pages/examples/_sidenav.js +++ /dev/null @@ -1,20 +0,0 @@ -export const items = [ - { - title: 'Examples', - links: [ - // { href: '/examples/documents', children: 'Q&A over Documents' }, - // { href: '/examples/code', children: 'Q&A over Code' }, - { href: '/examples/multimodal', children: '🖼️ Multimodal' }, - // { href: '/examples/agents', children: 'Agents' }, - ] - }, - // { - // title: 'Frameworks', - // links: [ - // { href: '/examples/nextjs', children: 'NextJS' }, - // { href: '/examples/rails', children: 'Rails' }, - // { href: '/examples/fastapi', children: 'FastAPI' }, - // ] - // }, - - ]; diff --git a/docs/docs.trychroma.com/pages/examples/agents.md b/docs/docs.trychroma.com/pages/examples/agents.md deleted file mode 100644 index 20f4638fe80..00000000000 --- a/docs/docs.trychroma.com/pages/examples/agents.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Agents ---- diff --git a/docs/docs.trychroma.com/pages/examples/code.md b/docs/docs.trychroma.com/pages/examples/code.md deleted file mode 100644 index 14cdff72057..00000000000 --- a/docs/docs.trychroma.com/pages/examples/code.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Q&A over Code ---- diff --git a/docs/docs.trychroma.com/pages/examples/documents.md b/docs/docs.trychroma.com/pages/examples/documents.md deleted file mode 100644 index 00b145cca1a..00000000000 --- a/docs/docs.trychroma.com/pages/examples/documents.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Q&A over Documents ---- diff --git a/docs/docs.trychroma.com/pages/examples/fastapi.md b/docs/docs.trychroma.com/pages/examples/fastapi.md deleted file mode 100644 index ca88f5abfd3..00000000000 --- a/docs/docs.trychroma.com/pages/examples/fastapi.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: FastAPI ---- diff --git a/docs/docs.trychroma.com/pages/examples/index.md b/docs/docs.trychroma.com/pages/examples/index.md deleted file mode 100644 index 66915ad0a4d..00000000000 --- a/docs/docs.trychroma.com/pages/examples/index.md +++ /dev/null @@ -1,16 +0,0 @@ ---- -title: 💡 Examples ---- - -This section contains a growing set of examples. - -Examples listed here are 1st class citizens in the documentation. They are tested, maintained and updated as the library evolves. Walkthroughs are designed to go step by step. - - -{% special_table %} -{% /special_table %} - -| | | Python | JS | -|--------------|-----------|---------------|--| -| [🖼️ Multimodal](/examples/multimodal) | Embed and retrieve images | ✅ | ➖ | -| 🚧 *More Coming Soon* | | | | diff --git a/docs/docs.trychroma.com/pages/examples/nextjs.md b/docs/docs.trychroma.com/pages/examples/nextjs.md deleted file mode 100644 index edda2c4a4e8..00000000000 --- a/docs/docs.trychroma.com/pages/examples/nextjs.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: NextJS ---- diff --git a/docs/docs.trychroma.com/pages/examples/rails.md b/docs/docs.trychroma.com/pages/examples/rails.md deleted file mode 100644 index 78a34a78b47..00000000000 --- a/docs/docs.trychroma.com/pages/examples/rails.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Rails ---- diff --git a/docs/docs.trychroma.com/pages/getting-started.md b/docs/docs.trychroma.com/pages/getting-started.md deleted file mode 100644 index 8bc3cad1f9f..00000000000 --- a/docs/docs.trychroma.com/pages/getting-started.md +++ /dev/null @@ -1,326 +0,0 @@ ---- -title: "🔑 Getting Started" ---- - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -Chroma is an AI-native open-source vector database. It comes with everything you need to get started built in, and runs on your machine. A [hosted version](https://airtable.com/shrOAiDUtS2ILy5vZ) is in early access! - -### 1. Install - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```bash -pip install chromadb # [!code $] -``` - -{% /tab %} -{% tab label="Javascript" %} - -{% codetabs customHeader="sh" %} -{% codetab label="yarn" %} - -```bash {% codetab=true %} -yarn add chromadb chromadb-default-embed # [!code $] -``` - -{% /codetab %} -{% codetab label="npm" %} - -```bash {% codetab=true %} -npm install --save chromadb chromadb-default-embed # [!code $] -``` - -{% /codetab %} -{% codetab label="pnpm" %} - -```bash {% codetab=true %} -pnpm add chromadb chromadb-default-embed # [!code $] -``` - -{% /codetab %} -{% /codetabs %} - -Install chroma via `pypi` to easily run the backend server. ([Docker](./deployment/docker) also available) - -```bash -pip install chromadb # [!code $] -``` - -{% /tab %} -{% /tabs %} - -### 2. Create a Chroma Client - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb -chroma_client = chromadb.Client() -``` - -{% /tab %} -{% tab label="Javascript" %} - -Run the Chroma backend: - -{% codetabs customHeader="sh" %} -{% codetab label="CLI" %} - -```bash {% codetab=true %} -chroma run --path ./getting-started # [!code $] -``` - -{% /codetab %} -{% codetab label="Docker" %} - -```bash {% codetab=true %} -docker pull chromadb/chroma # [!code $] -docker run -p 8000:8000 chromadb/chroma # [!code $] -``` - -{% /codetab %} -{% /codetabs %} - -Then create a client which connects to it: - -{% codetabs customHeader="js" %} -{% codetab label="ESM" %} - -```js {% codetab=true %} -import { ChromaClient } from "chromadb"; -const client = new ChromaClient(); -``` - -{% /codetab %} -{% codetab label="CJS" %} - -```js {% codetab=true %} -const { ChromaClient } = require("chromadb"); -const client = new ChromaClient(); -``` - -{% /codetab %} -{% /codetabs %} - -{% /tab %} - -{% /tabs %} - -### 3. Create a collection - -Collections are where you'll store your embeddings, documents, and any additional metadata. You can create a collection with a name: - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection = chroma_client.create_collection(name="my_collection") -``` - -{% /tab %} -{% tab label="Javascript" %} - -```js -const collection = await client.createCollection({ - name: "my_collection", -}); -``` - -{% /tab %} - -{% /tabs %} - -### 4. Add some text documents to the collection - -Chroma will store your text and handle embedding and indexing automatically. You can also customize the embedding model. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.add( - documents=[ - "This is a document about pineapple", - "This is a document about oranges" - ], - ids=["id1", "id2"] -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```js -await collection.add({ - documents: [ - "This is a document about pineapple", - "This is a document about oranges", - ], - ids: ["id1", "id2"], -}); -``` - -{% /tab %} - -{% /tabs %} - -### 5. Query the collection - -You can query the collection with a list of query texts, and Chroma will return the `n` most similar results. It's that easy! - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -results = collection.query( - query_texts=["This is a query document about hawaii"], # Chroma will embed this for you - n_results=2 # how many results to return -) -print(results) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```js -const results = await collection.query({ - queryTexts: "This is a query document about hawaii", // Chroma will embed this for you - nResults: 2, // how many results to return -}); - -console.log(results); -``` - -{% /tab %} - -{% /tabs %} - -### 6. Inspect Results - -From the above query - you can see that our query about `hawaii` is the semantically most similar to the document about `pineapple`. This, intuitively, makes sense! - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -{ - 'documents': [[ - 'This is a document about pineapple', - 'This is a document about oranges' - ]], - 'ids': [['id1', 'id2']], - 'distances': [[1.0404009819030762, 1.243080496788025]], - 'uris': None, - 'data': None, - 'metadatas': [[None, None]], - 'embeddings': None, -} -``` - -{% /tab %} -{% tab label="Javascript" %} - -```js -{ - 'documents': [[ - 'This is a document about pineapple', - 'This is a document about oranges' - ]], - 'ids': [['id1', 'id2']], - 'distances': [[1.0404009819030762, 1.243080496788025]], - 'uris': null, - 'data': null, - 'metadatas': [[null, null]], - 'embeddings': null, -} -``` - -{% /tab %} - -{% /tabs %} - -### 7. Try it out yourself - -For example - what if we tried querying with `"This is a document about florida"`? - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```py -import chromadb -chroma_client = chromadb.Client() - -# switch `create_collection` to `get_or_create_collection` to avoid creating a new collection every time -collection = chroma_client.get_or_create_collection(name="my_collection") - -# switch `add` to `upsert` to avoid adding the same documents every time -collection.upsert( - documents=[ - "This is a document about pineapple", - "This is a document about oranges" - ], - ids=["id1", "id2"] -) - -results = collection.query( - query_texts=["This is a query document about florida"], # Chroma will embed this for you - n_results=2 # how many results to return -) - -print(results) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```js -import { ChromaClient } from "chromadb"; -const client = new ChromaClient(); - -// switch `createCollection` to `getOrCreateCollection` to avoid creating a new collection every time -const collection = await client.getOrCreateCollection({ - name: "my_collection", -}); - -// switch `addRecords` to `upsertRecords` to avoid adding the same documents every time -await collection.upsert({ - documents: [ - "This is a document about pineapple", - "This is a document about oranges", - ], - ids: ["id1", "id2"], -}); - -const results = await collection.query({ - queryTexts: "This is a query document about florida", // Chroma will embed this for you - nResults: 2, // how many results to return -}); - -console.log(results); -``` - -{% /tab %} - -{% /tabs %} - -## 📚 Next steps - - - -- Read the [🧪 Usage Guide](/guides) to learn more about the API -- Learn how to [☁️ Deploy Chroma](/deployment) to a server -- Join Chroma's [Discord Community](https://discord.com/invite/MMeYNTmh3x) to ask questions and get help -- Follow Chroma on [Twitter (@trychroma)](https://twitter.com/trychroma) for updates - -{% hint style="info" %} diff --git a/docs/docs.trychroma.com/pages/guides/_sidenav.js b/docs/docs.trychroma.com/pages/guides/_sidenav.js deleted file mode 100644 index 9f65485a746..00000000000 --- a/docs/docs.trychroma.com/pages/guides/_sidenav.js +++ /dev/null @@ -1,24 +0,0 @@ -export const items = [ - // { - // title: 'Core Workflow', - // links: [ - // { href: '/guides/loading', children: 'Loading' }, - // { href: '/guides/splitting', children: 'Splitting' }, - // { href: '/guides/embedding', children: 'Embedding' }, - // { href: '/guides/querying', children: 'Querying' }, - // { href: '/guides/updating', children: 'Updating' }, - // { href: '/guides/deleting', children: 'Deleting' }, - // ] - // }, - { - title: 'Concepts', - links: [ - { href: '/guides/embeddings', children: '🧬 Embeddings' }, - { href: '/guides/multimodal', children: '🖼️ Multimodal' }, - // { href: '/guides/metadatas', children: 'Metadatas' }, - // { href: '/guides/documents', children: 'Documents' }, - // { href: '/guides/indexes', children: 'Indexes' }, - ] - }, - - ]; diff --git a/docs/docs.trychroma.com/pages/guides/adding.md b/docs/docs.trychroma.com/pages/guides/adding.md deleted file mode 100644 index 9c200e17d93..00000000000 --- a/docs/docs.trychroma.com/pages/guides/adding.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Adding ---- diff --git a/docs/docs.trychroma.com/pages/guides/deleting.md b/docs/docs.trychroma.com/pages/guides/deleting.md deleted file mode 100644 index bdb543e6183..00000000000 --- a/docs/docs.trychroma.com/pages/guides/deleting.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Deleting ---- diff --git a/docs/docs.trychroma.com/pages/guides/documents.md b/docs/docs.trychroma.com/pages/guides/documents.md deleted file mode 100644 index 4961f7aa7ce..00000000000 --- a/docs/docs.trychroma.com/pages/guides/documents.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Documents ---- diff --git a/docs/docs.trychroma.com/pages/guides/embedding.md b/docs/docs.trychroma.com/pages/guides/embedding.md deleted file mode 100644 index 036c2099a80..00000000000 --- a/docs/docs.trychroma.com/pages/guides/embedding.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Embedding ---- diff --git a/docs/docs.trychroma.com/pages/guides/embeddings.md b/docs/docs.trychroma.com/pages/guides/embeddings.md deleted file mode 100644 index d523c7d3089..00000000000 --- a/docs/docs.trychroma.com/pages/guides/embeddings.md +++ /dev/null @@ -1,147 +0,0 @@ ---- -title: '🧬 Embeddings' ---- - -Embeddings are the A.I-native way to represent any kind of data, making them the perfect fit for working with all kinds of A.I-powered tools and algorithms. They can represent text, images, and soon audio and video. There are many options for creating embeddings, whether locally using an installed library, or by calling an API. - -Chroma provides lightweight wrappers around popular embedding providers, making it easy to use them in your apps. You can set an embedding function when you create a Chroma collection, which will be used automatically, or you can call them directly yourself. - -{% special_table %} -{% /special_table %} - -| | Python | JS | -|--------------|-----------|---------------| -| [OpenAI](/integrations/openai) | ✅ | ✅ | -| [Google Generative AI](/integrations/google-gemini) | ✅ | ✅ | -| [Cohere](/integrations/cohere) | ✅ | ✅ | -| [Hugging Face](/integrations/hugging-face) | ✅ | ➖ | -| [Instructor](/integrations/instructor) | ✅ | ➖ | -| [Hugging Face Embedding Server](/integrations/hugging-face-server) | ✅ | ✅ | -| [Jina AI](/integrations/jinaai) | ✅ | ✅ | - -We welcome pull requests to add new Embedding Functions to the community. - -*** - -## Default: all-MiniLM-L6-v2 - -By default, Chroma uses the [Sentence Transformers](https://www.sbert.net/) `all-MiniLM-L6-v2` model to create embeddings. This embedding model can create sentence and document embeddings that can be used for a wide variety of tasks. This embedding function runs locally on your machine, and may require you download the model files (this will happen automatically). - -```python -from chromadb.utils import embedding_functions -default_ef = embedding_functions.DefaultEmbeddingFunction() -``` - -{% note type="default" %} -Embedding functions can be linked to a collection and used whenever you call `add`, `update`, `upsert` or `query`. You can also use them directly which can be handy for debugging. -```py -val = default_ef(["foo"]) -``` --> [[0.05035809800028801, 0.0626462921500206, -0.061827320605516434...]] -{% /note %} - - - - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -## Sentence Transformers - -Chroma can also use any [Sentence Transformers](https://www.sbert.net/) model to create embeddings. - -```python -sentence_transformer_ef = embedding_functions.SentenceTransformerEmbeddingFunction(model_name="all-MiniLM-L6-v2") -``` - -You can pass in an optional `model_name` argument, which lets you choose which Sentence Transformers model to use. By default, Chroma uses `all-MiniLM-L6-v2`. You can see a list of all available models [here](https://www.sbert.net/docs/pretrained_models.html). - -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} - - -*** - - -## Custom Embedding Functions - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -You can create your own embedding function to use with Chroma, it just needs to implement the `EmbeddingFunction` protocol. - -```python -from chromadb import Documents, EmbeddingFunction, Embeddings - -class MyEmbeddingFunction(EmbeddingFunction): - def __call__(self, input: Documents) -> Embeddings: - # embed the documents somehow - return embeddings -``` - -We welcome contributions! If you create an embedding function that you think would be useful to others, please consider [submitting a pull request](https://github.com/chroma-core/chroma) to add it to Chroma's `embedding_functions` module. - - -{% /tab %} -{% tab label="Javascript" %} - -You can create your own embedding function to use with Chroma, it just needs to implement the `EmbeddingFunction` protocol. The `.generate` method in a class is strictly all you need. - -```javascript -class MyEmbeddingFunction { - private api_key: string; - - constructor(api_key: string) { - this.api_key = api_key; - } - - public async generate(texts: string[]): Promise { - // do things to turn texts into embeddings with an api_key perhaps - return embeddings; - } -} -``` - -{% /tab %} -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/guides/index.md b/docs/docs.trychroma.com/pages/guides/index.md deleted file mode 100644 index 54ec5eb2243..00000000000 --- a/docs/docs.trychroma.com/pages/guides/index.md +++ /dev/null @@ -1,843 +0,0 @@ ---- -title: "🧪 Usage Guide" ---- - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - ---- - -## Initiating a persistent Chroma client - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb -``` - -You can configure Chroma to save and load the database from your local machine. Data will be persisted automatically and loaded on start (if it exists). - -```python -client = chromadb.PersistentClient(path="/path/to/save/to") -``` - -The `path` is where Chroma will store its database files on disk, and load them on start. - -{% /tab %} -{% tab label="Javascript" %} - -```js -// CJS -const { ChromaClient } = require("chromadb"); - -// ESM -import { ChromaClient } from "chromadb"; -``` - -{% note type="note" title="Connecting to the backend" %} -To connect with the JS client, you must connect to a backend running Chroma. See [Running Chroma in client-server mode](#running-chroma-in-client-server-mode) for how to do this. -{% /note %} - -```js -const client = new ChromaClient(); -``` - -{% /tab %} - -{% /tabs %} - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -The client object has a few useful convenience methods. - -```python -client.heartbeat() # returns a nanosecond heartbeat. Useful for making sure the client remains connected. -client.reset() # Empties and completely resets the database. ⚠️ This is destructive and not reversible. -``` - -{% /tab %} -{% tab label="Javascript" %} - -The client object has a few useful convenience methods. - -```javascript -await client.reset() # Empties and completely resets the database. ⚠️ This is destructive and not reversible. -``` - -{% /tab %} - -{% /tabs %} - -## Running Chroma in client-server mode - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Chroma can also be configured to run in client/server mode. In this mode, the Chroma client connects to a Chroma server running in a separate process. - -To start the Chroma server locally, run the following command: - -```bash -chroma run --path /db_path -``` - -Then use the Chroma HTTP client to connect to the server: - -```python -import chromadb -chroma_client = chromadb.HttpClient(host='localhost', port=8000) -``` - -That's it! Chroma's API will run in `client-server` mode with just this change. - ---- - -Chroma also provides an async HTTP client. The behaviors and method signatures are identical to the synchronous client, but all methods that would block are now async. To use it, call `AsyncHttpClient` instead: - -```python -import asyncio -import chromadb - -async def main(): - client = await chromadb.AsyncHttpClient() - collection = await client.create_collection(name="my_collection") - - await collection.add( - documents=["hello world"], - ids=["id1"] - ) - -asyncio.run(main()) -``` - - - -#### Using the Python HTTP-only client - -If you are running Chroma in client-server mode, you may not need the full Chroma library. Instead, you can use the lightweight client-only library. -In this case, you can install the `chromadb-client` package. This package is a lightweight HTTP client for the server with a minimal dependency footprint. - -```python -pip install chromadb-client -``` - -```python -import chromadb -# Example setup of the client to connect to your chroma server -client = chromadb.HttpClient(host='localhost', port=8000) - -# Or for async usage: -async def main(): - client = await chromadb.AsyncHttpClient(host='localhost', port=8000) -``` - -Note that the `chromadb-client` package is a subset of the full Chroma library and does not include all the dependencies. If you want to use the full Chroma library, you can install the `chromadb` package instead. -Most importantly, there is no default embedding function. If you add() documents without embeddings, you must have manually specified an embedding function and installed the dependencies for it. - -{% /tab %} -{% tab label="Javascript" %} - -To run Chroma in client server mode, first install the chroma library and CLI via pypi: - -```bash -pip install chromadb -``` - -Then start the Chroma server locally: - -```bash -chroma run --path /db_path -``` - -The JS client then talks to the chroma server backend. - -```js -// CJS -const { ChromaClient } = require("chromadb"); - -// ESM -import { ChromaClient } from "chromadb"; - -const client = new ChromaClient(); -``` - -You can also run the Chroma server in a docker container, or deployed to a cloud provider. See the [deployment docs](./deployment/docker) for more information. - -{% /tab %} - -{% /tabs %} - -## Using collections - -Chroma lets you manage collections of embeddings, using the `collection` primitive. - -### Creating, inspecting, and deleting Collections - -Chroma uses collection names in the url, so there are a few restrictions on naming them: - -- The length of the name must be between 3 and 63 characters. -- The name must start and end with a lowercase letter or a digit, and it can contain dots, dashes, and underscores in between. -- The name must not contain two consecutive dots. -- The name must not be a valid IP address. - -Chroma collections are created with a name and an optional embedding function. If you supply an embedding function, you must supply it every time you get the collection. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection = client.create_collection(name="my_collection", embedding_function=emb_fn) -collection = client.get_collection(name="my_collection", embedding_function=emb_fn) -``` - -{% note type="caution" %} -If you later wish to `get_collection`, you MUST do so with the embedding function you supplied while creating the collection -{% /note %} - -The embedding function takes text as input, and performs tokenization and embedding. If no embedding function is supplied, Chroma will use [sentence transformer](https://www.sbert.net/index.html) as a default. - -{% /tab %} -{% tab label="Javascript" %} - -```js -// CJS -const { ChromaClient } = require("chromadb"); - -// ESM -import { ChromaClient } from "chromadb"; -``` - -The JS client talks to a chroma server backend. This can run on your local computer or be easily deployed to AWS. - -```js -let collection = await client.createCollection({ - name: "my_collection", - embeddingFunction: emb_fn, -}); -let collection2 = await client.getCollection({ - name: "my_collection", - embeddingFunction: emb_fn, -}); -``` - -{% note type="caution" %} -If you later wish to `getCollection`, you MUST do so with the embedding function you supplied while creating the collection -{% /note %} - -The embedding function takes text as input, and performs tokenization and embedding. - -{% /tab %} - -{% /tabs %} - -You can learn more about [🧬 embedding functions](./guides/embeddings), and how to create your own. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Existing collections can be retrieved by name with `.get_collection`, and deleted with `.delete_collection`. You can also use `.get_or_create_collection` to get a collection if it exists, or create it if it doesn't. - -```python -collection = client.get_collection(name="test") # Get a collection object from an existing collection, by name. Will raise an exception if it's not found. -collection = client.get_or_create_collection(name="test") # Get a collection object from an existing collection, by name. If it doesn't exist, create it. -client.delete_collection(name="my_collection") # Delete a collection and all associated embeddings, documents, and metadata. ⚠️ This is destructive and not reversible -``` - -{% /tab %} -{% tab label="Javascript" %} - -Existing collections can be retrieved by name with `.getCollection`, and deleted with `.deleteCollection`. - -```javascript -const collection = await client.getCollection({ name: "test" }); // Get a collection object from an existing collection, by name. Will raise an exception of it's not found. -collection = await client.getOrCreateCollection({ name: "test" }); // Get a collection object from an existing collection, by name. If it doesn't exist, create it. -await client.deleteCollection(collection); // Delete a collection and all associated embeddings, documents, and metadata. ⚠️ This is destructive and not reversible -``` - -{% /tab %} - -{% /tabs %} - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Collections have a few useful convenience methods. - -```python -collection.peek() # returns a list of the first 10 items in the collection -collection.count() # returns the number of items in the collection -collection.modify(name="new_name") # Rename the collection -``` - -{% /tab %} -{% tab label="Javascript" %} - -There are a few useful convenience methods for working with Collections. - -```javascript -await collection.peek(); // returns a list of the first 10 items in the collection -await collection.count(); // returns the number of items in the collection -``` - -{% /tab %} - -{% /tabs %} - -### Changing the distance function - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -`create_collection` also takes an optional `metadata` argument which can be used to customize the distance method of the embedding space by setting the value of `hnsw:space`. - -```python - collection = client.create_collection( - name="collection_name", - metadata={"hnsw:space": "cosine"} # l2 is the default - ) -``` - -{% /tab %} -{% tab label="Javascript" %} - -`createCollection` also takes an optional `metadata` argument which can be used to customize the distance method of the embedding space by setting the value of `hnsw:space` - -```js -let collection = client.createCollection({ - name: "collection_name", - metadata: { "hnsw:space": "cosine" }, -}); -``` - -{% /tab %} - -{% /tabs %} - -Valid options for `hnsw:space` are "l2", "ip, "or "cosine". The **default** is "l2" which is the squared L2 norm. - -{% special_table %} -{% /special_table %} - -| Distance | parameter | Equation | -| ----------------- | :-------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| Squared L2 | `l2` | {% math latexText="d = \\sum\\left(A_i-B_i\\right)^2" %}{% /math %} | -| Inner product | `ip` | {% math latexText="d = 1.0 - \\sum\\left(A_i \\times B_i\\right) " %}{% /math %} | -| Cosine similarity | `cosine` | {% math latexText="d = 1.0 - \\frac{\\sum\\left(A_i \\times B_i\\right)}{\\sqrt{\\sum\\left(A_i^2\\right)} \\cdot \\sqrt{\\sum\\left(B_i^2\\right)}}" %}{% /math %} | - -### Adding data to a Collection - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Add data to Chroma with `.add`. - -Raw documents: - -```python -collection.add( - documents=["lorem ipsum...", "doc2", "doc3", ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - ids=["id1", "id2", "id3", ...] -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -Add data to Chroma with `.addRecords`. - -Raw documents: - -```javascript -await collection.add({ - ids: ["id1", "id2", "id3", ...], - metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents: ["lorem ipsum...", "doc2", "doc3", ...], -}) -// input order -// ids - required -// embeddings - optional -// metadata - optional -// documents - optional -``` - -{% /tab %} - -{% /tabs %} - -If Chroma is passed a list of `documents`, it will automatically tokenize and embed them with the collection's embedding function (the default will be used if none was supplied at collection creation). Chroma will also store the `documents` themselves. If the documents are too large to embed using the chosen embedding function, an exception will be raised. - -Each document must have a unique associated `id`. Trying to `.add` the same ID twice will result in only the initial value being stored. An optional list of `metadata` dictionaries can be supplied for each document, to store additional information and enable filtering. - -Alternatively, you can supply a list of document-associated `embeddings` directly, and Chroma will store the associated documents without embedding them itself. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.add( - documents=["doc1", "doc2", "doc3", ...], - embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - ids=["id1", "id2", "id3", ...] -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.add({ - ids: ["id1", "id2", "id3", ...], - embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents: ["lorem ipsum...", "doc2", "doc3", ...], -}) - -``` - -{% /tab %} - -{% /tabs %} - -If the supplied `embeddings` are not the same dimension as the collection, an exception will be raised. - -You can also store documents elsewhere, and just supply a list of `embeddings` and `metadata` to Chroma. You can use the `ids` to associate the embeddings with your documents stored elsewhere. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.add( - embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - ids=["id1", "id2", "id3", ...] -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.add({ - ids: ["id1", "id2", "id3", ...], - embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], -}) -``` - -{% /tab %} - -{% /tabs %} - -### Querying a Collection - -You can query by a set of `query_embeddings`. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Chroma collections can be queried in a variety of ways, using the `.query` method. - -```python -collection.query( - query_embeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], - n_results=10, - where={"metadata_field": "is_equal_to_this"}, - where_document={"$contains":"search_string"} -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -Chroma collections can be queried in a variety of ways, using the `.queryRecords` method. - -```javascript -const result = await collection.query({ - queryEmbeddings: [[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], - nResults: 10, - where: {"metadata_field": "is_equal_to_this"}, -}) -// input order -// queryEmbeddings - optional, exactly one of queryEmbeddings and queryTexts must be provided -// queryTexts - optional -// n_results - required -// where - optional -``` - -{% /tab %} - -{% /tabs %} - -The query will return the `n_results` closest matches to each `query_embedding`, in order. -An optional `where` filter dictionary can be supplied to filter by the `metadata` associated with each document. -Additionally, an optional `where_document` filter dictionary can be supplied to filter by contents of the document. - -If the supplied `query_embeddings` are not the same dimension as the collection, an exception will be raised. - -You can also query by a set of `query_texts`. Chroma will first embed each `query_text` with the collection's embedding function, and then perform the query with the generated embedding. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.query( - query_texts=["doc10", "thus spake zarathustra", ...], - n_results=10, - where={"metadata_field": "is_equal_to_this"}, - where_document={"$contains":"search_string"} -) -``` - -You can also retrieve items from a collection by `id` using `.get`. - -```python -collection.get( - ids=["id1", "id2", "id3", ...], - where={"style": "style1"} -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.query({ - nResults: 10, // n_results - where: {"metadata_field": "is_equal_to_this"}, // where - queryTexts: ["doc10", "thus spake zarathustra", ...], // query_text -}) -``` - -You can also retrieve records from a collection by `id` using `.getRecords`. - -```javascript -await collection.get( { - ids: ["id1", "id2", "id3", ...], //ids - where: {"style": "style1"} // where -}) -``` - -{% /tab %} - -{% /tabs %} - -`.get` also supports the `where` and `where_document` filters. If no `ids` are supplied, it will return all items in the collection that match the `where` and `where_document` filters. - -##### Choosing which data is returned - -When using get or query you can use the include parameter to specify which data you want returned - any of `embeddings`, `documents`, `metadatas`, and for query, `distances`. By default, Chroma will return the `documents`, `metadatas` and in the case of query, the `distances` of the results. `embeddings` are excluded by default for performance and the `ids` are always returned. You can specify which of these you want returned by passing an array of included field names to the includes parameter of the query or get method. Note that embeddings will be returned as a 2-d numpy array in `.get` and a python list of 2-d numpy arrays in `.query`. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -# Only get documents and ids -collection.get( - include=["documents"] -) - -collection.query( - query_embeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], - include=["documents"] -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -# Only get documents and ids -collection.get( - {include=["documents"]} -) - -collection.get({ - queryEmbeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], - include=["documents"] -}) -``` - -{% /tab %} - -{% /tabs %} - -### Using Where filters - -Chroma supports filtering queries by `metadata` and `document` contents. The `where` filter is used to filter by `metadata`, and the `where_document` filter is used to filter by `document` contents. - -##### Filtering by metadata - -In order to filter on metadata, you must supply a `where` filter dictionary to the query. The dictionary must have the following structure: - -```python -{ - "metadata_field": { - : - } -} -``` - -Filtering metadata supports the following operators: - -- `$eq` - equal to (string, int, float) -- `$ne` - not equal to (string, int, float) -- `$gt` - greater than (int, float) -- `$gte` - greater than or equal to (int, float) -- `$lt` - less than (int, float) -- `$lte` - less than or equal to (int, float) - -Using the $eq operator is equivalent to using the `where` filter. - -```python -{ - "metadata_field": "search_string" -} - -# is equivalent to - -{ - "metadata_field": { - "$eq": "search_string" - } -} - -``` - -{% note type="note" %} -Where filters only search embeddings where the key exists. If you search `collection.get(where={"version": {"$ne": 1}})`. Metadata that does not have the key `version` will not be returned. -{% /note %} - -##### Filtering by document contents - -In order to filter on document contents, you must supply a `where_document` filter dictionary to the query. We support two filtering keys: `$contains` and `$not_contains`. The dictionary must have the following structure: - -```python -# Filtering for a search_string -{ - "$contains": "search_string" -} -``` - -```python -# Filtering for not contains -{ - "$not_contains": "search_string" -} -``` - -##### Using logical operators - -You can also use the logical operators `$and` and `$or` to combine multiple filters. - -An `$and` operator will return results that match all of the filters in the list. - -```python -{ - "$and": [ - { - "metadata_field": { - : - } - }, - { - "metadata_field": { - : - } - } - ] -} -``` - -An `$or` operator will return results that match any of the filters in the list. - -```python -{ - "$or": [ - { - "metadata_field": { - : - } - }, - { - "metadata_field": { - : - } - } - ] -} -``` - -##### Using inclusion operators (`$in` and `$nin`) - -The following inclusion operators are supported: - -- `$in` - a value is in predefined list (string, int, float, bool) -- `$nin` - a value is not in predefined list (string, int, float, bool) - -An `$in` operator will return results where the metadata attribute is part of a provided list: - -```json -{ - "metadata_field": { - "$in": ["value1", "value2", "value3"] - } -} -``` - -An `$nin` operator will return results where the metadata attribute is not part of a provided list: - -```json -{ - "metadata_field": { - "$nin": ["value1", "value2", "value3"] - } -} -``` - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -{% note type="note" title="Practical examples" %} -For additional examples and a demo how to use the inclusion operators, please see provided notebook [here](https://github.com/chroma-core/chroma/blob/main/examples/basic_functionality/in_not_in_filtering.ipynb) -{% /note %} - -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -### Updating data in a collection - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Any property of records in a collection can be updated using `.update`. - -```python -collection.update( - ids=["id1", "id2", "id3", ...], - embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents=["doc1", "doc2", "doc3", ...], -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -Any property of records in a collection can be updated using `.updateRecords`. - -```javascript -collection.update( - { - ids: ["id1", "id2", "id3", ...], - embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents: ["doc1", "doc2", "doc3", ...], - }, -) -``` - -{% /tab %} - -{% /tabs %} - -If an `id` is not found in the collection, an error will be logged and the update will be ignored. If `documents` are supplied without corresponding `embeddings`, the embeddings will be recomputed with the collection's embedding function. - -If the supplied `embeddings` are not the same dimension as the collection, an exception will be raised. - -Chroma also supports an `upsert` operation, which updates existing items, or adds them if they don't yet exist. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.upsert( - ids=["id1", "id2", "id3", ...], - embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents=["doc1", "doc2", "doc3", ...], -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.upsert({ - ids: ["id1", "id2", "id3"], - embeddings: [ - [1.1, 2.3, 3.2], - [4.5, 6.9, 4.4], - [1.1, 2.3, 3.2], - ], - metadatas: [ - { chapter: "3", verse: "16" }, - { chapter: "3", verse: "5" }, - { chapter: "29", verse: "11" }, - ], - documents: ["doc1", "doc2", "doc3"], -}); -``` - -{% /tab %} - -{% /tabs %} - -If an `id` is not present in the collection, the corresponding items will be created as per `add`. Items with existing `id`s will be updated as per `update`. - -### Deleting data from a collection - -Chroma supports deleting items from a collection by `id` using `.delete`. The embeddings, documents, and metadata associated with each item will be deleted. -⚠️ Naturally, this is a destructive operation, and cannot be undone. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.delete( - ids=["id1", "id2", "id3",...], - where={"chapter": "20"} -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.delete({ - ids: ["id1", "id2", "id3",...], //ids - where: {"chapter": "20"} //where -}) -``` - -{% /tab %} - -{% /tabs %} - -`.delete` also supports the `where` filter. If no `ids` are supplied, it will delete all items in the collection that match the `where` filter. diff --git a/docs/docs.trychroma.com/pages/guides/indexes.md b/docs/docs.trychroma.com/pages/guides/indexes.md deleted file mode 100644 index d47f4bc6d8c..00000000000 --- a/docs/docs.trychroma.com/pages/guides/indexes.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Indexes ---- diff --git a/docs/docs.trychroma.com/pages/guides/loading.md b/docs/docs.trychroma.com/pages/guides/loading.md deleted file mode 100644 index 27210b7cd0e..00000000000 --- a/docs/docs.trychroma.com/pages/guides/loading.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Loading ---- diff --git a/docs/docs.trychroma.com/pages/guides/metadatas.md b/docs/docs.trychroma.com/pages/guides/metadatas.md deleted file mode 100644 index 22289cc2aa0..00000000000 --- a/docs/docs.trychroma.com/pages/guides/metadatas.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Metadatas ---- diff --git a/docs/docs.trychroma.com/pages/guides/multimodal.md b/docs/docs.trychroma.com/pages/guides/multimodal.md deleted file mode 100644 index 01a7ee6e565..00000000000 --- a/docs/docs.trychroma.com/pages/guides/multimodal.md +++ /dev/null @@ -1,150 +0,0 @@ ---- -title: "🖼️ Multimodal" ---- - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - ---- - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Chroma supports multimodal collections, i.e. collections which can store, and can be queried by, multiple modalities of data. - -Try it out in Colab: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/chroma-core/chroma/blob/main/examples/multimodal/multimodal_retrieval.ipynb) - -## Multi-modal Embedding Functions - -Chroma supports multi-modal embedding functions, which can be used to embed data from multiple modalities into a single embedding space. - -Chroma has the OpenCLIP embedding function built in, which supports both text and images. - -```python -from chromadb.utils.embedding_functions import OpenCLIPEmbeddingFunction -embedding_function = OpenCLIPEmbeddingFunction() -``` - -## Data Loaders - -Chroma supports data loaders, for storing and querying with data stored outside Chroma itself, via URI. Chroma will not store this data, but will instead store the URI, and load the data from the URI when needed. - -Chroma has an data loader for loading images from a filesystem built in. - -```python -from chromadb.utils.data_loaders import ImageLoader -data_loader = ImageLoader() -``` - -## Multi-modal Collections - -You can create a multi-modal collection by passing in a multi-modal embedding function. In order to load data from a URI, you must also pass in a data loader. - -```python -import chromadb - -client = chromadb.Client() - -collection = client.create_collection( - name='multimodal_collection', - embedding_function=embedding_function, - data_loader=data_loader) - -``` - -### Adding data - -You can add data to a multi-modal collection by specifying the data modality. For now, images are supported: - -```python -collection.add( - ids=['id1', 'id2', 'id3'], - images=[...] # A list of numpy arrays representing images -) -``` - -Note that Chroma will not store the data for you, and you will have to maintain a mapping from IDs to data yourself. - -However, you can use Chroma in combination with data stored elsewhere, by adding it via URI. Note that this requires that you have specified a data loader when creating the collection. - -```python -collection.add( - ids=['id1', 'id2', 'id3'], - uris=[...] # A list of strings representing URIs to data -) -``` - -Since the embedding function is multi-modal, you can also add text to the same collection: - -```python -collection.add( - ids=['id4', 'id5', 'id6'], - documents=["This is a document", "This is another document", "This is a third document"] -) -``` - -### Querying - -You can query a multi-modal collection with any of the modalities that it supports. For example, you can query with images: - -```python -results = collection.query( - query_images=[...] # A list of numpy arrays representing images -) -``` - -Or with text: - -```python -results = collection.query( - query_texts=["This is a query document", "This is another query document"] -) -``` - -If a data loader is set for the collection, you can also query with URIs which reference data stored elsewhere of the supported modalities: - -```python -results = collection.query( - query_uris=[...] # A list of strings representing URIs to data -) -``` - -Additionally, if a data loader is set for the collection, and URIs are available, you can include the data in the results: - -```python -results = collection.query( - query_images=[...], # # list of numpy arrays representing images - includes=['data'] -) -``` - -This will automatically call the data loader for any available URIs, and include the data in the results. `uris` are also available as an `includes` field. - -### Updating - -You can update a multi-modal collection by specifying the data modality, in the same way as `add`. For now, images are supported: - -```python -collection.update( - ids=['id1', 'id2', 'id3'], - images=[...] # A list of numpy arrays representing images -) -``` - -Note that a given entry with a specific ID can only have one associated modality at a time. Updates will over-write the existing modality, so for example, an entry which originally has corresponding text and updated with an image, will no longer have that text after an update with images. - -{% /tab %} -{% tab label="Javascript" %} - -Support for multi-modal retrieval for Chroma's JavaScript client is coming soon! - -{% /tab %} - -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/guides/querying.md b/docs/docs.trychroma.com/pages/guides/querying.md deleted file mode 100644 index 64583b601bc..00000000000 --- a/docs/docs.trychroma.com/pages/guides/querying.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Querying ---- diff --git a/docs/docs.trychroma.com/pages/guides/splitting.md b/docs/docs.trychroma.com/pages/guides/splitting.md deleted file mode 100644 index 42bb6567969..00000000000 --- a/docs/docs.trychroma.com/pages/guides/splitting.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Splitting ---- diff --git a/docs/docs.trychroma.com/pages/guides/updating.md b/docs/docs.trychroma.com/pages/guides/updating.md deleted file mode 100644 index 0f40044eccd..00000000000 --- a/docs/docs.trychroma.com/pages/guides/updating.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Updating ---- diff --git a/docs/docs.trychroma.com/pages/index.md b/docs/docs.trychroma.com/pages/index.md deleted file mode 100644 index b01a00835aa..00000000000 --- a/docs/docs.trychroma.com/pages/index.md +++ /dev/null @@ -1,92 +0,0 @@ ---- -title: Chroma ---- - -**Chroma is the AI-native open-source vector database**. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. - -New to Chroma? [🔑 Getting Started](./getting-started). - -[![Discord](https://img.shields.io/discord/1073293645303795742?cacheSeconds=3600)](https://discord.gg/MMeYNTmh3x) -{% br %}{% /br %} -[![GitHub stars](https://img.shields.io/github/stars/chroma-core/chroma.svg?style=social&label=Star&maxAge=2400)](https://GitHub.com/chroma-core/chroma/stargazers/) - - -*** - - -![](/img/hrm4.svg) - -{% br %}{% /br %} - -Chroma gives you the tools to: - -- store embeddings and their metadata -- embed documents and queries -- search embeddings - -Chroma prioritizes: - -- simplicity and developer productivity -- it also happens to be very quick - -Chroma runs as a server and provides 1st party `Python` and `JavaScript/TypeScript` client SDKs. Check out the [Colab demo](https://colab.research.google.com/drive/1QEzFyqnoFxq7LUGyP1vzR4iLt9PpCDXv?usp=sharing). (yes, it can run in a Jupyter notebook 😄) - -Chroma is licensed under [Apache 2.0](https://github.com/chroma-core/chroma/blob/main/LICENSE) - -### Python -In Python, Chroma can run in a python script or as a server. - -```bash -pip install chromadb -``` - -### JavaScript -In JavaScript, use the Chroma JS/TS Client to connect to a Chroma server. - -{% codetabs customHeader="sh" %} -{% codetab label="yarn" %} -```bash {% codetab=true %} -yarn install chromadb chromadb-default-embed # [!code $] -``` -{% /codetab %} -{% codetab label="npm" %} -```bash {% codetab=true %} -npm install --save chromadb chromadb-default-embed # [!code $] -``` -{% /codetab %} -{% codetab label="pnpm" %} -```bash {% codetab=true %} -pnpm install chromadb chromadb-default-embed # [!code $] -``` -{% /codetab %} -{% /codetabs %} - - -Continue with the full [getting started guide](./getting-started). - - -*** - -### Language Clients - -{% special_table %} -{% /special_table %} - -| | client | -|--------------|---------------| -| Python | ✅ [`chromadb`](https://pypistats.org/packages/chromadb) (by Chroma) | -| Javascript | ✅ [`chromadb`](https://www.npmjs.com/package/chromadb) (by Chroma) | -| Ruby | ✅ [from @mariochavez](https://github.com/mariochavez/chroma) | -| Java | ✅ [from @t_azarov](https://github.com/amikos-tech/chromadb-java-client) | -| Go | ✅ [from @t_azarov](https://github.com/amikos-tech/chroma-go) | -| C# | ✅ [from @microsoft](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/src/Connectors/Connectors.Memory.Chroma) | -| Rust | ✅ [from @Anush008](https://crates.io/crates/chromadb) | -| Elixir | ✅ [from @3zcurdia](https://hex.pm/packages/chroma/) | -| Dart | ✅ [from @davidmigloz](https://pub.dev/packages/chromadb) | -| PHP | ✅ [from @CodeWithKyrian](https://github.com/CodeWithKyrian/chromadb-php) | -| PHP (Laravel) | ✅ [from @HelgeSverre](https://github.com/helgeSverre/chromadb) | -| Clojure | ✅ [from @levand](https://github.com/levand/clojure-chroma-client) | | - -{% br %}{% /br %} - -We welcome [contributions](/contributing) for other languages! diff --git a/docs/docs.trychroma.com/pages/integrations/_sidenav.js b/docs/docs.trychroma.com/pages/integrations/_sidenav.js deleted file mode 100644 index 5feeda2d186..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/_sidenav.js +++ /dev/null @@ -1,28 +0,0 @@ -export const items = [ - { - title: 'Embedding Models', - links: [ - { href: '/integrations/openai', children: 'OpenAI' }, - { href: '/integrations/cohere', children: 'Cohere' }, - { href: '/integrations/google-gemini', children: 'Google Gemini' }, - { href: '/integrations/hugging-face-server', children: 'HF Server' }, - { href: '/integrations/hugging-face', children: 'Hugging Face' }, - { href: '/integrations/instructor', children: 'Instructor' }, - { href: '/integrations/jinaai', children: 'JinaAI' }, - { href: '/integrations/roboflow', children: 'Roboflow' }, - { href: '/integrations/ollama', children: 'Ollama Embeddings' }, - ] - }, - { - title: 'Frameworks', - links: [ - { href: '/integrations/langchain', children: 'Langchain' }, - { href: '/integrations/llamaindex', children: 'LlamaIndex' }, - { href: '/integrations/braintrust', children: 'Braintrust' }, - { href: '/integrations/haystack', children: 'Haystack' }, - { href: '/integrations/openllmetry', children: 'OpenLLMetry' }, - { href: '/integrations/streamlit', children: 'Streamlit' }, - { href: '/integrations/openlit', children: 'OpenLIT' }, - ] - }, - ]; diff --git a/docs/docs.trychroma.com/pages/integrations/braintrust.md b/docs/docs.trychroma.com/pages/integrations/braintrust.md deleted file mode 100644 index a64f54f95a8..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/braintrust.md +++ /dev/null @@ -1,60 +0,0 @@ ---- -title: Braintrust ---- - -[Braintrust](https://www.braintrustdata.com) is an enterprise-grade stack for building AI products including: evaluations, prompt playground, dataset management, tracing, etc. - -Braintrust provides a Typescript and Python library to run and log evaluations and integrates well with Chroma. - -- [Tutorial: Evaluate Chroma Retrieval app w/ Braintrust](https://www.braintrustdata.com/docs/examples/rag) - -Example evaluation script in Python: -(refer to the tutorial above to get the full implementation) -```python -from autoevals.llm import * -from braintrust import Eval - -PROJECT_NAME="Chroma_Eval" - -from openai import OpenAI - -client = OpenAI() -leven_evaluator = LevenshteinScorer() - -async def pipeline_a(input, hooks=None): - # Get a relevant fact from Chroma - relevant = collection.query( - query_texts=[input], - n_results=1, - ) - relevant_text = ','.join(relevant["documents"][0]) - prompt = """ - You are an assistant called BT. Help the user. - Relevant information: {relevant} - Question: {question} - Answer: - """.format(question=input, relevant=relevant_text) - messages = [{"role": "system", "content": prompt}] - response = client.chat.completions.create( - model="gpt-3.5-turbo", - messages=messages, - temperature=0, - max_tokens=100, - ) - - result = response.choices[0].message.content - return result - -# Run an evaluation and log to Braintrust -await Eval( - PROJECT_NAME, - # define your test cases - data = lambda:[{"input": "What is my eye color?", "expected": "Brown"}], - # define your retrieval pipeline w/ Chroma above - task = pipeline_a, - # use a prebuilt scoring function or define your own :) - scores=[leven_evaluator], -) -``` - -Learn more: [docs](https://www.braintrustdata.com/docs). diff --git a/docs/docs.trychroma.com/pages/integrations/cohere.md b/docs/docs.trychroma.com/pages/integrations/cohere.md deleted file mode 100644 index c69bbc0bb46..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/cohere.md +++ /dev/null @@ -1,89 +0,0 @@ ---- -title: 'Cohere' ---- - -{% tabs group="code-lang" hideContent=true %} -{% tab label="Python" %} -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} - -Chroma also provides a convenient wrapper around Cohere's embedding API. This embedding function runs remotely on Cohere’s servers, and requires an API key. You can get an API key by signing up for an account at [Cohere](https://dashboard.cohere.ai/welcome/register). - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -This embedding function relies on the `cohere` python package, which you can install with `pip install cohere`. - -```python -import chromadb.utils.embedding_functions as embedding_functions -cohere_ef = embedding_functions.CohereEmbeddingFunction(api_key="YOUR_API_KEY", model_name="large") -cohere_ef(texts=["document1","document2"]) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -const {CohereEmbeddingFunction} = require('chromadb'); -const embedder = new CohereEmbeddingFunction("apiKey") - -// use directly -const embeddings = embedder.generate(["document1","document2"]) - -// pass documents to query for .add and .query -const collection = await client.createCollection({name: "name", embeddingFunction: embedder}) -const collectionGet = await client.getCollection({name:"name", embeddingFunction: embedder}) -``` - -{% /tab %} -{% /tabs %} - - - -You can pass in an optional `model_name` argument, which lets you choose which Cohere embeddings model to use. By default, Chroma uses `large` model. You can see the available models under `Get embeddings` section [here](https://docs.cohere.ai/reference/embed). - - -### Multilingual model example - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -cohere_ef = embedding_functions.CohereEmbeddingFunction( - api_key="YOUR_API_KEY", - model_name="multilingual-22-12") - -multilingual_texts = [ 'Hello from Cohere!', 'مرحبًا من كوهير!', - 'Hallo von Cohere!', 'Bonjour de Cohere!', - '¡Hola desde Cohere!', 'Olá do Cohere!', - 'Ciao da Cohere!', '您好,来自 Cohere!', - 'कोहिअर से नमस्ते!' ] - -cohere_ef(texts=multilingual_texts) - -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -const {CohereEmbeddingFunction} = require('chromadb'); -const embedder = new CohereEmbeddingFunction("apiKey") - -multilingual_texts = [ 'Hello from Cohere!', 'مرحبًا من كوهير!', - 'Hallo von Cohere!', 'Bonjour de Cohere!', - '¡Hola desde Cohere!', 'Olá do Cohere!', - 'Ciao da Cohere!', '您好,来自 Cohere!', - 'कोहिअर से नमस्ते!' ] - -const embeddings = embedder.generate(multilingual_texts) - -``` - - -{% /tab %} -{% /tabs %} - -For more information on multilingual model you can read [here](https://docs.cohere.ai/docs/multilingual-language-models). diff --git a/docs/docs.trychroma.com/pages/integrations/google-gemini.md b/docs/docs.trychroma.com/pages/integrations/google-gemini.md deleted file mode 100644 index 74bfe69c8b9..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/google-gemini.md +++ /dev/null @@ -1,68 +0,0 @@ ---- -title: "Google Generative AI" ---- - -{% tabs group="code-lang" hideContent=true %} -{% tab label="Python" %} -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} - -Chroma provides a convenient wrapper around Google's Generative AI embedding API. This embedding function runs remotely on Google's servers, and requires an API key. - -You can get an API key by signing up for an account at [Google MakerSuite](https://makersuite.google.com/). - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -This embedding function relies on the `google-generativeai` python package, which you can install with `pip install google-generativeai`. - -```python -# import -import chromadb.utils.embedding_functions as embedding_functions - -# use directly -google_ef = embedding_functions.GoogleGenerativeAiEmbeddingFunction(api_key="YOUR_API_KEY") -google_ef(["document1","document2"]) - -# pass documents to query for .add and .query -collection = client.create_collection(name="name", embedding_function=google_ef) -collection = client.get_collection(name="name", embedding_function=google_ef) -``` - -You can view a more [complete example](https://github.com/chroma-core/chroma/tree/main/examples/gemini) chatting over documents with Gemini embedding and langauge models. - -For more info - please visit the [official Google python docs](https://ai.google.dev/tutorials/python_quickstart). - -{% /tab %} -{% tab label="Javascript" %} - -This embedding function relies on the `@google/generative-ai` npm package, which you can install with e.g. `npm install @google/generative-ai`. - -```javascript -import { ChromaClient, GoogleGenerativeAiEmbeddingFunction } from "chromadb"; -const embedder = new GoogleGenerativeAiEmbeddingFunction({ - googleApiKey: "", -}); - -// use directly -const embeddings = await embedder.generate(["document1", "document2"]); - -// pass documents to query for .add and .query -const collection = await client.createCollection({ - name: "name", - embeddingFunction: embedder, -}); -const collectionGet = await client.getCollection({ - name: "name", - embeddingFunction: embedder, -}); -``` - -You can view a more [complete example using Node](https://github.com/chroma-core/chroma/blob/main/clients/js/examples/node/app.js). - -For more info - please visit the [official Google JS docs](https://ai.google.dev/tutorials/node_quickstart). - -{% /tab %} -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/integrations/haystack.md b/docs/docs.trychroma.com/pages/integrations/haystack.md deleted file mode 100644 index 97ebe340fa5..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/haystack.md +++ /dev/null @@ -1,80 +0,0 @@ ---- -title: 💙 Haystack ---- - -[Haystack](https://github.com/deepset-ai/haystack) is an open-source LLM framework in Python. It provides [embedders](https://docs.haystack.deepset.ai/v2.0/docs/embedders), [generators](https://docs.haystack.deepset.ai/v2.0/docs/generators) and [rankers](https://docs.haystack.deepset.ai/v2.0/docs/rankers) via a number of LLM providers, tooling for [preprocessing](https://docs.haystack.deepset.ai/v2.0/docs/preprocessors) and data preparation, connectors to a number of vector databases including Chroma and more. Haystack allows you to build custom LLM applications using both components readily available in Haystack and [custom components](https://docs.haystack.deepset.ai/v2.0/docs/custom-components). Some of the most common applications you can build with Haystack are retrieval-augmented generation pipelines (RAG), question-answering and semantic search. - -![](https://img.shields.io/github/stars/deepset-ai/haystack.svg?style=social&label=Star&maxAge=2400) - -|[Docs](https://docs.haystack.deepset.ai/v2.0/docs) | [Github](https://github.com/deepset-ai/haystack) | [Haystack Integrations](https://haystack.deepset.ai/integrations) | [Tutorials](https://haystack.deepset.ai/tutorials) | - -You can use Chroma together with Haystack by installing the integration and using the `ChromaDocumentStore` - -### Installation - -```bash -pip install chroma-haystack -``` - -### Usage - -- The [Chroma Integration page](https://haystack.deepset.ai/integrations/chroma-documentstore) -- [Chroma + Haystack Example](https://colab.research.google.com/drive/1YpDetI8BRbObPDEVdfqUcwhEX9UUXP-m?usp=sharing) - -#### Write documents into a ChromaDocumentStore - -```python -import os -from pathlib import Path - -from haystack import Pipeline -from haystack.components.converters import TextFileToDocument -from haystack.components.writers import DocumentWriter -from chroma_haystack import ChromaDocumentStore - -file_paths = ["data" / Path(name) for name in os.listdir("data")] - -document_store = ChromaDocumentStore() - -indexing = Pipeline() -indexing.add_component("converter", TextFileToDocument()) -indexing.add_component("writer", DocumentWriter(document_store)) - -indexing.connect("converter", "writer") -indexing.run({"converter": {"sources": file_paths}}) -``` - -#### Build RAG on top of Chroma - -```python -from chroma_haystack.retriever import ChromaQueryRetriever -from haystack.components.generators import HuggingFaceTGIGenerator -from haystack.components.builders import PromptBuilder - -prompt = """ -Answer the query based on the provided context. -If the context does not contain the answer, say 'Answer not found'. -Context: -{% for doc in documents %} - {{ doc.content }} -{% endfor %} -query: {{query}} -Answer: -""" -prompt_builder = PromptBuilder(template=prompt) - -llm = HuggingFaceTGIGenerator(model="mistralai/Mixtral-8x7B-Instruct-v0.1", token='YOUR_HF_TOKEN') -llm.warm_up() -retriever = ChromaQueryRetriever(document_store) - -querying = Pipeline() -querying.add_component("retriever", retriever) -querying.add_component("prompt_builder", prompt_builder) -querying.add_component("llm", llm) - -querying.connect("retriever.documents", "prompt_builder.documents") -querying.connect("prompt_builder", "llm") - -results = querying.run({"retriever": {"queries": [query], "top_k": 3}, - "prompt_builder": {"query": query}}) -``` diff --git a/docs/docs.trychroma.com/pages/integrations/hugging-face-server.md b/docs/docs.trychroma.com/pages/integrations/hugging-face-server.md deleted file mode 100644 index e89b90fce26..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/hugging-face-server.md +++ /dev/null @@ -1,61 +0,0 @@ ---- -title: 'Hugging Face Text Embedding Server' ---- - -{% tabs group="code-lang" hideContent=true %} -{% tab label="Python" %} -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} - -Chroma provides a convenient wrapper for HuggingFace Text Embedding Server, a standalone server that provides text embeddings via a REST API. You can read more about it [**here**](https://github.com/huggingface/text-embeddings-inference). - -## Setting Up The Server - -To run the embedding server locally you can run the following command from the root of the Chroma repository. The docker compose command will run Chroma and the embedding server together. - -```bash -docker compose -f examples/server_side_embeddings/huggingface/docker-compose.yml up -d -``` - -or - -```bash -docker run -p 8001:80 -d -rm --name huggingface-embedding-server ghcr.io/huggingface/text-embeddings-inference:cpu-0.3.0 --model-id BAAI/bge-small-en-v1.5 --revision -main -``` - -{% note type="note" %} -The above docker command will run the server with the `BAAI/bge-small-en-v1.5` model. You can find more information about running the server in docker [**here**](https://github.com/huggingface/text-embeddings-inference#docker). -{% /note %} - -## Usage - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -from chromadb.utils.embedding_functions import HuggingFaceEmbeddingServer -huggingface_ef = HuggingFaceEmbeddingServer(url="http://localhost:8001/embed") -``` - -The embedding model is configured on the server side. Check the docker-compose file in `examples/server_side_embeddings/huggingface/docker-compose.yml` for an example of how to configure the server. - -{% /tab %} -{% tab label="Javascript" %} - - -```javascript -import {HuggingFaceEmbeddingServerFunction} from 'chromadb'; -const embedder = new HuggingFaceEmbeddingServerFunction({url:"http://localhost:8001/embed"}) - -// use directly -const embeddings = embedder.generate(["document1","document2"]) - -// pass documents to query for .add and .query -const collection = await client.createCollection({name: "name", embeddingFunction: embedder}) -const collection = await client.getCollection({name: "name", embeddingFunction: embedder}) -``` - -{% /tab %} -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/integrations/hugging-face.md b/docs/docs.trychroma.com/pages/integrations/hugging-face.md deleted file mode 100644 index 37e15581a2c..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/hugging-face.md +++ /dev/null @@ -1,30 +0,0 @@ ---- -title: Hugging Face ---- - -{% tabs group="code-lang" hideContent=true %} -{% tab label="Python" %} -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} - -Chroma also provides a convenient wrapper around HuggingFace's embedding API. This embedding function runs remotely on HuggingFace's servers, and requires an API key. You can get an API key by signing up for an account at [HuggingFace](https://huggingface.co/). - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb.utils.embedding_functions as embedding_functions -huggingface_ef = embedding_functions.HuggingFaceEmbeddingFunction( - api_key="YOUR_API_KEY", - model_name="sentence-transformers/all-MiniLM-L6-v2" -) -``` - -You can pass in an optional `model_name` argument, which lets you choose which HuggingFace model to use. By default, Chroma uses `sentence-transformers/all-MiniLM-L6-v2`. You can see a list of all available models [here](https://huggingface.co/models). - -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/integrations/index.md b/docs/docs.trychroma.com/pages/integrations/index.md deleted file mode 100644 index 4561de28ef1..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/index.md +++ /dev/null @@ -1,48 +0,0 @@ ---- -title: 🔌 Integrations ---- - -*** - -### 🧬 Embedding Integrations - -Embeddings are the A.I-native way to represent any kind of data, making them the perfect fit for working with all kinds of A.I-powered tools and algorithms. They can represent text, images, and soon audio and video. There are many options for creating embeddings, whether locally using an installed library, or by calling an API. - -Chroma provides lightweight wrappers around popular embedding providers, making it easy to use them in your apps. You can set an embedding function when you create a Chroma collection, which will be used automatically, or you can call them directly yourself. - -{% special_table %} -{% /special_table %} - -| | Python | JS | -|--------------|-----------|---------------| -| [OpenAI](/integrations/openai) | ✅ | ✅ | -| [Google Gemini](/integrations/google-gemini) | ✅ | ✅ | -| [Cohere](/integrations/cohere) | ✅ | ✅ | -| [Hugging Face](/integrations/hugging-face) | ✅ | ➖ | -| [Instructor](/integrations/instructor) | ✅ | ➖ | -| [Hugging Face Embedding Server](/integrations/hugging-face-server) | ✅ | ✅ | -| [Jina AI](/integrations/jinaai) | ✅ | ✅ | -| [Roboflow](/integrations/roboflow) | ✅ | ➖ | -| [Ollama Embeddings](/integrations/ollama) | ✅ | ✅ | - - -*** - -### 🏗️ Framework Integrations - -Chroma maintains integrations with many popular tools. These tools can be used to define the business logic of an AI-native application, curate data, fine-tune embedding spaces and more. - -We welcome pull requests to add new Integrations to the community. - -{% special_table %} -{% /special_table %} - -| | Python | JS | -|--------------|-----------|---------------| -| [🦜️🔗 Langchain](/integrations/langchain) | ✅ | ✅ | -| [🦙 LlamaIndex](/integrations/llamaindex) | ✅ | ✅ | -| [Braintrust](/integrations/braintrust) | ✅ | ✅ | -| [🔭 OpenLLMetry](/integrations/openllmetry) | ✅ | 🔜 | -| [🎈 Streamlit](/integrations/streamlit) | ✅ | ➖ | -| [💙 Haystack](/integrations/haystack) | ✅ | ➖ | -| [🔭 OpenLIT](/integrations/openlit) | ✅ | 🔜 | diff --git a/docs/docs.trychroma.com/pages/integrations/instructor.md b/docs/docs.trychroma.com/pages/integrations/instructor.md deleted file mode 100644 index b24d0fc1610..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/instructor.md +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: Instructor ---- - -The [instructor-embeddings](https://github.com/HKUNLP/instructor-embedding) library is another option, especially when running on a machine with a cuda-capable GPU. They are a good local alternative to OpenAI (see the [Massive Text Embedding Benchmark](https://huggingface.co/blog/mteb) rankings). The embedding function requires the InstructorEmbedding package. To install it, run ```pip install InstructorEmbedding```. - -There are three models available. The default is `hkunlp/instructor-base`, and for better performance you can use `hkunlp/instructor-large` or `hkunlp/instructor-xl`. You can also specify whether to use `cpu` (default) or `cuda`. For example: - -```python -#uses base model and cpu -import chromadb.utils.embedding_functions as embedding_functions -ef = embedding_functions.InstructorEmbeddingFunction() -``` -or -```python -import chromadb.utils.embedding_functions as embedding_functions -ef = embedding_functions.InstructorEmbeddingFunction( -model_name="hkunlp/instructor-xl", device="cuda") -``` -Keep in mind that the large and xl models are 1.5GB and 5GB respectively, and are best suited to running on a GPU. diff --git a/docs/docs.trychroma.com/pages/integrations/jinaai.md b/docs/docs.trychroma.com/pages/integrations/jinaai.md deleted file mode 100644 index cce47c7c81f..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/jinaai.md +++ /dev/null @@ -1,46 +0,0 @@ ---- -title: Jina AI ---- - -{% tabs group="code-lang" hideContent=true %} -{% tab label="Python" %} -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} - -Chroma provides a convenient wrapper around JinaAI's embedding API. This embedding function runs remotely on JinaAI's servers, and requires an API key. You can get an API key by signing up for an account at [JinaAI](https://jina.ai/embeddings/). - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb.utils.embedding_functions as embedding_functions -jinaai_ef = embedding_functions.JinaEmbeddingFunction( - api_key="YOUR_API_KEY", - model_name="jina-embeddings-v2-base-en" - ) -jinaai_ef(input=["This is my first text to embed", "This is my second document"]) -``` - -You can pass in an optional `model_name` argument, which lets you choose which Jina model to use. By default, Chroma uses `jina-embedding-v2-base-en`. - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -const {JinaEmbeddingFunction} = require('chromadb'); -const embedder = new JinaEmbeddingFunction({ - jinaai_api_key: 'jina_****', - model_name: 'jina-embeddings-v2-base-en', -}); - -// use directly -const embeddings = embedder.generate(['document1', 'document2']); - -// pass documents to query for .add and .query -const collection = await client.createCollection({name: "name", embeddingFunction: embedder}) -const collectionGet = await client.getCollection({name:"name", embeddingFunction: embedder}) -``` -{% /tab %} -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/integrations/langchain.md b/docs/docs.trychroma.com/pages/integrations/langchain.md deleted file mode 100644 index 426683b13be..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/langchain.md +++ /dev/null @@ -1,19 +0,0 @@ ---- -title: 🦜️🔗 Langchain ---- - -## Langchain - Python - -- [LangChain + Chroma](https://blog.langchain.dev/langchain-chroma/) on the LangChain blog -- [Harrison's `chroma-langchain` demo repo](https://github.com/hwchase17/chroma-langchain) - - [question answering over documents](https://github.com/hwchase17/chroma-langchain/blob/master/qa.ipynb) - ([Replit version](https://replit.com/@swyx/LangChainChromaStarter#main.py)) - - [to use Chroma as a persistent database](https://github.com/hwchase17/chroma-langchain/blob/master/persistent-qa.ipynb) -- Tutorials - - [Chroma and LangChain tutorial](https://github.com/grumpyp/chroma-langchain-tutorial) - The demo showcases how to pull data from the English Wikipedia using their API. The project also demonstrates how to vectorize data in chunks and get embeddings using OpenAI embeddings model. - - [Create a Voice-based ChatGPT Clone That Can Search on the Internet and local files](https://betterprogramming.pub/how-to-create-a-voice-based-chatgpt-clone-that-can-search-on-the-internet-24d7f570ea8) -- [LangChain's Chroma Documentation](https://python.langchain.com/docs/integrations/vectorstores/chroma) - - -## Langchain - JS - -- [LangChainJS Chroma Documentation](https://js.langchain.com/docs/modules/indexes/vector_stores/integrations/chroma) diff --git a/docs/docs.trychroma.com/pages/integrations/llamaindex.md b/docs/docs.trychroma.com/pages/integrations/llamaindex.md deleted file mode 100644 index e6b120f7db4..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/llamaindex.md +++ /dev/null @@ -1,7 +0,0 @@ ---- -title: 🦙 LlamaIndex ---- - -- `LlamaIndex` [Vector Store page](https://docs.llamaindex.ai/en/stable/examples/vector_stores/ChromaIndexDemo.html) -- [Demo](https://github.com/run-llama/llama_index/blob/main/docs/docs/examples/data_connectors/ChromaDemo.ipynb) -- [Chroma Loader on Llamahub](https://llamahub.ai/l/vector_stores/llama-index-vector-stores-chroma) diff --git a/docs/docs.trychroma.com/pages/integrations/ollama.md b/docs/docs.trychroma.com/pages/integrations/ollama.md deleted file mode 100644 index 918ff2d06d5..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/ollama.md +++ /dev/null @@ -1,77 +0,0 @@ ---- -title: Ollama Embeddings ---- - -Chroma provides a convenient wrapper around [Ollama](https://github.com/ollama/ollama)' -s [embeddings API](https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings). You can use -the `OllamaEmbeddingFunction` embedding function to generate embeddings for your documents with -a [model](https://github.com/ollama/ollama?tab=readme-ov-file#model-library) of your choice. - -{% tabs group="code-lang" %} -{% tab label="Python" %} - -```python -import chromadb.utils.embedding_functions as embedding_functions - -ollama_ef = embedding_functions.OllamaEmbeddingFunction( - url="http://localhost:11434/api/embeddings", - model_name="llama2", -) - -embeddings = ollama_ef(["This is my first text to embed", - "This is my second document"]) -``` - -{% /tab %} -{% tab label="Javascript" %} - -{% codetabs customHeader="js" %} -{% codetab label="ESM" %} -```js {% codetab=true %} -import {OllamaEmbeddingFunction} from "chromadb"; -const embedder = new OllamaEmbeddingFunction({ - url: "http://127.0.0.1:11434/api/embeddings", - model: "llama2" -}) - -// use directly -const embeddings = embedder.generate(["document1", "document2"]) - -// pass documents to query for .add and .query -const collection = await client.createCollection({ - name: "name", - embeddingFunction: embedder -}) -const collection = await client.getCollection({ - name: "name", - embeddingFunction: embedder -}) -``` -{% /codetab %} -{% codetab label="CJS" %} -```js {% codetab=true %} -const {OllamaEmbeddingFunction} = require('chromadb'); -const embedder = new OllamaEmbeddingFunction({ - url: "http://127.0.0.1:11434/api/embeddings", - model: "llama2" -}) - -// use directly -const embeddings = embedder.generate(["document1", "document2"]) - -// pass documents to query for .add and .query -const collection = await client.createCollection({ - name: "name", - embeddingFunction: embedder -}) -const collection = await client.getCollection({ - name: "name", - embeddingFunction: embedder -}) -``` -{% /codetab %} -{% /codetabs %} - -{% /tab %} - -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/integrations/openai.md b/docs/docs.trychroma.com/pages/integrations/openai.md deleted file mode 100644 index ee3adb8da0f..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/openai.md +++ /dev/null @@ -1,78 +0,0 @@ ---- -title: OpenAI ---- - -{% tabs group="code-lang" hideContent=true %} -{% tab label="Python" %} -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} - -Chroma provides a convenient wrapper around OpenAI's embedding API. This embedding function runs remotely on OpenAI's servers, and requires an API key. You can get an API key by signing up for an account at [OpenAI](https://openai.com/api/). - -The following OpenAI Embedding Models are supported: - -- `text-embedding-ada-002` -- `text-embedding-3-small` -- `text-embedding-3-large` - -{% note type="default" title="More Info" %} -Visit OpenAI Embeddings [documentation](https://platform.openai.com/docs/guides/embeddings) for more information. -{% /note %} - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -This embedding function relies on the `openai` python package, which you can install with `pip install openai`. - -You can pass in an optional `model_name` argument, which lets you choose which OpenAI embeddings model to use. By default, Chroma uses `text-embedding-ada-002`. - -```python -import chromadb.utils.embedding_functions as embedding_functions -openai_ef = embedding_functions.OpenAIEmbeddingFunction( - api_key="YOUR_API_KEY", - model_name="text-embedding-3-small" - ) -``` - -To use the OpenAI embedding models on other platforms such as Azure, you can use the `api_base` and `api_type` parameters: -```python -import chromadb.utils.embedding_functions as embedding_functions -openai_ef = embedding_functions.OpenAIEmbeddingFunction( - api_key="YOUR_API_KEY", - api_base="YOUR_API_BASE_PATH", - api_type="azure", - api_version="YOUR_API_VERSION", - model_name="text-embedding-3-small" - ) -``` - -{% /tab %} -{% tab label="Javascript" %} - -You can pass in an optional `model` argument, which lets you choose which OpenAI embeddings model to use. By default, Chroma uses `text-embedding-ada-002`. - -```javascript -const {OpenAIEmbeddingFunction} = require('chromadb'); -const embeddingFunction = new OpenAIEmbeddingFunction({ - openai_api_key: "apiKey", - model: "text-embedding-3-small" -}) - -// use directly -const embeddings = embeddingFunction.generate(["document1","document2"]) - -// pass documents to query for .add and .query -const collection = await client.createCollection({ - name: "name", - embeddingFunction: embeddingFunction -}) -const collection = await client.getCollection({ - name: "name", - embeddingFunction: embeddingFunction -}) -``` - -{% /tab %} -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/integrations/openlit.md b/docs/docs.trychroma.com/pages/integrations/openlit.md deleted file mode 100644 index 2d0d7e1aed9..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/openlit.md +++ /dev/null @@ -1,48 +0,0 @@ ---- -title: 🔍 OpenLIT ---- - -[OpenLIT](https://github.com/openlit/openlit) is an OpenTelemetry-native LLM Application Observability tool and includes OpenTelemetry auto-instrumention for Chroma with just a single line of code helping you ensure your applications are monitored seamlessly, providing critical insights to improve performance, operations and reliability. - -For more information on how to use OpenLIT, see the [OpenLIT docs](https://docs.openlit.io/). - -![OpenLIT Connections Banner](https://github.com/openlit/.github/blob/main/profile/assets/github-readme-connections-banner.png?raw=true) - -## Getting Started - -### Step 1: Install OpenLIT - -Open your command line or terminal and run: - -```bash -pip install openlit -``` - -### Step 2: Initialize OpenLIT in your Application -Integrating OpenLIT into LLM applications is straightforward. Start monitoring for your LLM Application with just **two lines of code**: - -```python -import openlit - -openlit.init() -``` - -To forward telemetry data to an HTTP OTLP endpoint, such as the OpenTelemetry Collector, set the `otlp_endpoint` parameter with the desired endpoint. Alternatively, you can configure the endpoint by setting the `OTEL_EXPORTER_OTLP_ENDPOINT` environment variable as recommended in the OpenTelemetry documentation. - -> 💡 Info: If you don't provide `otlp_endpoint` function argument or set the `OTEL_EXPORTER_OTLP_ENDPOINT` environment variable, OpenLIT directs the trace directly to your console, which can be useful during development. -To send telemetry to OpenTelemetry backends requiring authentication, set the `otlp_headers` parameter with its desired value. Alternatively, you can configure the endpoint by setting the `OTEL_EXPORTER_OTLP_HEADERS` environment variable as recommended in the OpenTelemetry documentation. - -### Step 3: Visualize and Optimize! - -![](https://github.com/openlit/.github/blob/main/profile/assets/openlit-client-1.png?raw=true) - -With the LLM Observability data now being collected by OpenLIT, the next step is to visualize and analyze this data to get insights into your LLM application’s performance, behavior, and identify areas of improvement. - -To begin exploring your LLM Application's performance data within the OpenLIT UI, please see the [Quickstart Guide](https://docs.openlit.io/latest/quickstart). - -If you want to integrate and send metrics and traces to your existing observability tools like Promethues+Jaeger, Grafana or more, refer to the [Official Documentation for OpenLIT Connections](https://docs.openlit.io/latest/connections/intro) for detailed instructions. - - -## Support - -For any question or issue with integration you can reach out to the OpenLIT team on [Slack](https://join.slack.com/t/openlit/shared_invite/zt-2etnfttwg-TjP_7BZXfYg84oAukY8QRQ) or via [email](mailto:contact@openlit.io). diff --git a/docs/docs.trychroma.com/pages/integrations/openllmetry.md b/docs/docs.trychroma.com/pages/integrations/openllmetry.md deleted file mode 100644 index e35ad6f81b0..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/openllmetry.md +++ /dev/null @@ -1,29 +0,0 @@ ---- -title: 🔭 OpenLLMetry ---- - -[OpenLLMetry](https://www.traceloop.com/openllmetry) provides observability for systems using Chroma. It allows tracing calls to Chroma, OpenAI, and other services. -It gives visibility to query and index calls as well as LLM prompts and completions. -For more information on how to use OpenLLMetry, see the [OpenLLMetry docs](https://www.traceloop.com/docs/openllmetry). - -![](/img/openllmetry.png) - -### Example - -Install OpenLLMetry SDK by running: - -```bash -pip install traceloop-sdk -``` - -Then, initialize the SDK in your application: - -```python -from traceloop.sdk import Traceloop - -Traceloop.init() -``` - -### Configuration - -OpenLLMetry can be configured to send traces to any observability platform that supports OpenTelemetry - Datadog, Honeycomb, Dynatrace, New Relic, etc. See the [OpenLLMetry docs](https://www.traceloop.com/openllmetry/provider/chroma) for more information. diff --git a/docs/docs.trychroma.com/pages/integrations/roboflow.md b/docs/docs.trychroma.com/pages/integrations/roboflow.md deleted file mode 100644 index 132efc5b3a6..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/roboflow.md +++ /dev/null @@ -1,65 +0,0 @@ ---- -title: Roboflow ---- - -You can use [Roboflow Inference](https://inference.roboflow.com) with Chroma to calculate multi-modal text and image embeddings with CLIP. through the `RoboflowEmbeddingFunction` class. Inference can be used through the Roboflow cloud, or run on your hardware. - -## Roboflow Cloud Inference - -To run Inference through the Roboflow cloud, you will need an API key. [Learn how to retrieve a Roboflow API key](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key). - -You can pass it directly on creation of the `RoboflowEmbeddingFunction`: - -```python -from chromadb.utils.embedding_functions import RoboflowEmbeddingFunction - -roboflow_ef = RoboflowEmbeddingFunction(api_key=API_KEY) -``` - -Alternatively, you can set your API key as an environment variable: - -```bash -export ROBOFLOW_API_KEY=YOUR_API_KEY -``` - -Then, you can create the `RoboflowEmbeddingFunction` without passing an API key directly: - -```python -from chromadb.utils.embedding_functions import RoboflowEmbeddingFunction - -roboflow_ef = RoboflowEmbeddingFunction() -``` - -## Local Inference - -You can run Inference on your own hardware. - -To install Inference, you will need Docker installed. Follow the [official Docker installation instructions](https://docs.docker.com/engine/install/) for guidance on how to install Docker on the device on which you are working. - -Then, you can install Inference with pip: - -```bash -pip install inference inference-cli -``` - -With Inference installed, you can start an Inference server. This server will run in the background. The server will accept HTTP requests from the `RoboflowEmbeddingFunction` to calculate CLIP text and image embeddings for use in your application: - -To start an Inference server, run: - -```bash -inference server start -``` - -Your Inference server will run at `http://localhost:9001`. - -Then, you can create the `RoboflowEmbeddingFunction`: - -```python -from chromadb.utils.embedding_functions import RoboflowEmbeddingFunction - -roboflow_ef = RoboflowEmbeddingFunction(api_key=API_KEY, server_url="http://localhost:9001") -``` - -This function will calculate embeddings using your local Inference server instead of the Roboflow cloud. - -For a full tutorial on using Roboflow Inference with Chroma, refer to the [Roboflow Chroma integration tutorial](https://github.com/chroma-core/chroma/blob/main/examples/use_with/roboflow/embeddings.ipynb). diff --git a/docs/docs.trychroma.com/pages/integrations/streamlit.md b/docs/docs.trychroma.com/pages/integrations/streamlit.md deleted file mode 100644 index 5db3ed55b56..00000000000 --- a/docs/docs.trychroma.com/pages/integrations/streamlit.md +++ /dev/null @@ -1,68 +0,0 @@ ---- -title: 🎈 Streamlit ---- - -Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. In just a few minutes you can build and deploy powerful data apps. - -![](https://img.shields.io/github/stars/streamlit/streamlit.svg?style=social&label=Star&maxAge=2400) - -[Apache 2.0 License](https://github.com/streamlit/streamlit/blob/develop/LICENSE)  • [Site](https://streamlit.io/) - -{% special_table %} -{% /special_table %} - -| Languages | Docs | Github | -|--|--|--| -| Python | [Docs](https://docs.streamlit.io/) | [Code](https://github.com/streamlit/streamlit) - -### Install - -Install Streamlit: {% br %}{% /br %} -`pip install streamlit` - -Install `streamlit-chromadb-connection`, which connects your Streamlit app to Chroma through [`st.connection`](https://docs.streamlit.io/1.11.0/library/api-reference/connections/st.connection): {% br %}{% /br %} -`pip install streamlit-chromadb-connection` - -### Main Benefits - -- Easy to get started with Streamlit's straightforward syntax -- Built-in [chatbot functionality](https://docs.streamlit.io/library/api-reference/chat) -- Pre-built integration with Chroma via `streamlit-chromadb-connection` -- Deploy apps for free on [Streamlit Community Cloud](https://share.streamlit.io/) - -### Simple Example - -#### Python - -```python -import streamlit as st -from streamlit_chromadb_connection.chromadb_connection import ChromadbConnection - -configuration = { - "client": "PersistentClient", - "path": "/tmp/.chroma" -} - -collection_name = "documents_collection" - -conn = st.connection("chromadb", - type=ChromaDBConnection, - **configuration) -documents_collection_df = conn.get_collection_data(collection_name) -st.dataframe(documents_collection_df) -``` - -### Resources - -- [Instructions for using `streamlit-chromadb-connection` to connect your Streamlit app to Chroma](https://github.com/Dev317/streamlit_chromadb_connection/blob/main/README.md) -- [Demo app for `streamlit-chromadb-connection`](https://app-chromadbconnection-mfzxl3nzozmaxh3mrkd6zm.streamlit.app/) -- [Streamlit's `st.connection` documentation](https://docs.streamlit.io/library/api-reference/connections/st.connection) -- [Guide to using vector databases with Streamlit](https://pub.towardsai.net/vector-databases-for-your-streamlit-ai-apps-56cd0af7bbba) - -#### Tutorials - -- [Build an "Ask the Doc" app using Chroma, Streamlit, and LangChain](https://blog.streamlit.io/langchain-tutorial-4-build-an-ask-the-doc-app/) -- [Summarize documents with Chroma, Streamlit, and LangChain](https://alphasec.io/summarize-documents-with-langchain-and-chroma/) -- [Build a custom chatbot with Chroma, Streamlit, and LangChain](https://blog.streamlit.io/how-in-app-feedback-can-increase-your-chatbots-performance/) -- [Build a RAG bot using Chroma, Streamlit, and LangChain](https://levelup.gitconnected.com/building-a-generative-ai-app-with-streamlit-and-openai-95ec31fe8efd) -- [Build a PDF QA chatbot with Chroma, Streamlit, and OpenAI](https://www.confident-ai.com/blog/how-to-build-a-pdf-qa-chatbot-using-openai-and-chromadb) diff --git a/docs/docs.trychroma.com/pages/reference/_sidenav.js b/docs/docs.trychroma.com/pages/reference/_sidenav.js deleted file mode 100644 index cb1c8ed149b..00000000000 --- a/docs/docs.trychroma.com/pages/reference/_sidenav.js +++ /dev/null @@ -1,25 +0,0 @@ -export const items = [ - { - title: 'Python', - links: [ - { href: '/reference/py-client', children: 'Client' }, - { href: '/reference/py-collection', children: 'Collection' }, - ] - }, - { - title: 'JS', - links: [ - { href: '/reference/js-client', children: 'Client' }, - { href: '/reference/js-collection', children: 'Collection' }, - ] - }, - { - title: 'Other', - links: [ - { href: '/reference/docs', children: 'Docs Development' }, - { href: '/reference/cli', children: 'CLI' }, - // { href: '/reference/openapi', children: 'OpenAPI' }, - // { href: '/reference/architecture', children: 'Architecture' }, - ] - }, -]; diff --git a/docs/docs.trychroma.com/pages/reference/architecture.md b/docs/docs.trychroma.com/pages/reference/architecture.md deleted file mode 100644 index 4cdd86023dd..00000000000 --- a/docs/docs.trychroma.com/pages/reference/architecture.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Architecture ---- diff --git a/docs/docs.trychroma.com/pages/reference/cheatsheet.md b/docs/docs.trychroma.com/pages/reference/cheatsheet.md deleted file mode 100644 index 13c3bfe7fc1..00000000000 --- a/docs/docs.trychroma.com/pages/reference/cheatsheet.md +++ /dev/null @@ -1,249 +0,0 @@ ---- -title: "📖 API Cheatsheet" ---- - -# 📖 API Cheatsheet - -{% note type="note" %} -This is a quick cheatsheet of the API. For full API docs, refer to the JS and Python docs in the sidebar. -{% /note %} - ---- - -{% tabs group="code-lang" hideContent=true %} -{% tab label="Python" %} -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} - ---- - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -## Initialize client - Python - -### In-memory chroma - -```python -import chromadb -client = chromadb.Client() -``` - -### In-memory chroma with saving/loading to disk - -In this mode, Chroma will persist data between sessions. On load - it will load up the data in the directory you specify. And as you add data - it will save to that directory. - -```python -import chromadb -client = chromadb.PersistentClient(path="/path/to/data") -``` - -### Run chroma just as a client to talk to a backend service - -You can run Chroma a standalone Chroma server using the Chroma command line. Run `chroma run --path /db_path` to run a server. - -Then update your API initialization and then use the API the same way as before. - -```python -import chromadb -chroma_client = chromadb.HttpClient(host="localhost", port=8000) -``` - -## Methods on Client - -### Methods related to Collections - -{% note type="note" title="Collection naming" %} -Collections are similar to AWS s3 buckets in their naming requirements because they are used in URLs in the REST API. Here's the [full list](/usage-guide#creating-inspecting-and-deleting-collections). -{% /note %} - -```python -# list all collections -client.list_collections() - -# make a new collection -collection = client.create_collection("testname") - -# get an existing collection -collection = client.get_collection("testname") - -# get a collection or create if it doesn't exist already -collection = client.get_or_create_collection("testname") - -# delete a collection -client.delete_collection("testname") -``` - -### Utility methods - -```python -# resets entire database - this *cant* be undone! -client.reset() - -# returns timestamp to check if service is up -client.heartbeat() -``` - -## Methods on Collection - -```python -# change the name or metadata on a collection -collection.modify(name="testname2") - -# get the number of items in a collection -collection.count() - -# add new items to a collection -# either one at a time -collection.add( - embeddings=[1.5, 2.9, 3.4], - metadatas={"uri": "img9.png", "style": "style1"}, - documents="doc1000101", - ids="uri9", -) -# or many, up to 100k+! -collection.add( - embeddings=[[1.5, 2.9, 3.4], [9.8, 2.3, 2.9]], - metadatas=[{"style": "style1"}, {"style": "style2"}], - ids=["uri9", "uri10"], -) -collection.add( - documents=["doc1000101", "doc288822"], - metadatas=[{"style": "style1"}, {"style": "style2"}], - ids=["uri9", "uri10"], -) - -# update items in a collection -collection.update() - -# upsert items. new items will be added, existing items will be updated. -collection.upsert( - ids=["id1", "id2", "id3", ...], - embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents=["doc1", "doc2", "doc3", ...], -) - -# get items from a collection -collection.get() - -# convenience, get first 5 items from a collection -collection.peek() - -# do nearest neighbor search to find similar embeddings or documents, supports filtering -collection.query( - query_embeddings=[[1.1, 2.3, 3.2], [5.1, 4.3, 2.2]], - n_results=2, - where={"style": "style2"} -) - -# delete items -collection.delete() -``` - -{% /tab %} -{% tab label="Javascript" %} - -### Run the backend - -Run `chroma run --path /db_path` to run the Chroma backend as a standalone server on your local computer. - -## Initialize client - JS - -```javascript -// CJS -const { ChromaClient } = require("chromadb"); - -// ESM -import { ChromaClient } from 'chromadb' - -const client = new ChromaClient(); -``` - -## Methods on Client - -### Methods related to Collections - -{% note type="note" title="Collection naming" %} -Collections are similar to AWS s3 buckets in their naming requirements because they are used in URLs in the REST API. Here's the [full list](/usage-guide#creating-inspecting-and-deleting-collections). -{% /note %} - -```javascript -// list all collections -await client.listCollections(); - -// make a new collection -const collection = await client.createCollection({ name: "testname" }); - -// get an existing collection -const collection = await client.getCollection({ name: "testname" }); - -// delete a collection -await client.deleteCollection({ name: "testname" }); -``` - -### Utility methods - -```javascript -// resets entire database - this *cant* be undone! -await client.reset(); -``` - -## Methods on Collection - -```javascript -// get the number of items in a collection -await collection.count() - -// add new items to a collection -// either one at a time -await collection.add({ - ids: "id1", - embeddings: [1.5, 2.9, 3.4], - metadatas: {"source": "my_source"}, - documents: "This is a document", -}) -// or many, up to 100k+! -await collection.add({ - ids: ["uri9", "uri10"], - embeddings: [[1.5, 2.9, 3.4], [9.8, 2.3, 2.9]], - metadatas: [{"style": "style1"}, {"style": "style2"}], - documents: ["This is a document", 'that is a document'] -}) -// including just documents -await collection.add({ - ids: ["uri9", "uri10"], - metadatas: [{"style": "style1"}, {"style": "style2"}], - documents: ["doc1000101", "doc288822"], -}) -// or use upsert, so records will be updated if they already exist -// (instead of throwing an error) -await collection.upsert({ - ids: "id1", - embeddings: [1.5, 2.9, 3.4], - metadatas: {"source": "my_source"}, - documents: "This is a document", -}) - -// get items from a collection -await collection.get() - -// convenience, get first 5 items from a collection -await collection.peek() - -// do nearest neighbor search to find similar embeddings or documents, supports filtering -await collection.query({ - queryEmbeddings: [[1.1, 2.3, 3.2], [5.1, 4.3, 2.2]], - nResults: 2, - where: {"style": "style2"} -}) - -// delete items -await collection.delete() - -``` - -{% /tab %} -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/reference/cli.md b/docs/docs.trychroma.com/pages/reference/cli.md deleted file mode 100644 index a9390b86405..00000000000 --- a/docs/docs.trychroma.com/pages/reference/cli.md +++ /dev/null @@ -1,21 +0,0 @@ ---- -title: CLI ---- - -## Vacuuming - -Vacuuming shrinks and optimizes your database. - -Vacuuming after upgrading from a version of Chroma below v0.5.6 will greatly reduce the size of your database and enable continuous database pruning. A warning is logged during server startup if this is necessary. - -In most other cases, vacuuming is unnecessary. **It does not need to be run regularly**. - -Vacuuming blocks all reads and writes to your database while it's running, so we recommend shutting down your Chroma server before vacuuming (although it's not strictly required). - -To vacuum your database, run: - -```bash -chroma utils vacuum --path -``` - -For large databases, expect this to take up to a few minutes. diff --git a/docs/docs.trychroma.com/pages/reference/docs.md b/docs/docs.trychroma.com/pages/reference/docs.md deleted file mode 100644 index c977d54e97a..00000000000 --- a/docs/docs.trychroma.com/pages/reference/docs.md +++ /dev/null @@ -1,133 +0,0 @@ ---- -title: Docs Development ---- - -We welcome all contributions to improving our open source docs! - -Here are some ways you can help: -- Fix typos and grammar errors -- Improve the language and clarity of the docs -- Add missing information - -Great sections to contribute to you include: - -- [🔌 Integrations](/integrations) -- [☁️ Deployment options and Administration guides](/deployment) - -# How sidebars work - -The sidebar is generated from the `_sidenav.js` relative folder. For your page to show up, it has to be added to that list. - -The table of contents for any given page are collected from the header elements on that page. They are "tab-aware" and will only show headings that are visible. - -# Kitchen sink - -Please view this page on Github to see the underlying code. - -### Tabs - -{% tabs %} -{% tab label="one" %} -one -{% /tab %} -{% tab label="two" %} -two -{% /tab %} -{% /tabs %} - -### Code blocks and tabs - -Code block - -```javascript -console.log('Hello, world!'); -``` - -Code tabs -{% codetabs customHeader="sh" %} -{% codetab label="yarn" %} -```bash {% codetab=true %} -yarn install chromadb chromadb-default-embed # [!code $] -``` -{% /codetab %} -{% codetab label="npm" %} -```bash {% codetab=true %} -npm install --save chromadb chromadb-default-embed # [!code $] -``` -{% /codetab %} -{% /codetabs %} - -### Math - -{% math latexText="d = \\sum\\left(A_i-B_i\\right)^2" %}{% /math %} - - -### Tables - -#### Basic table - -| Name | Age | Location | -|-------|-----|----------| -| Alice | 24 | Seattle | - -#### Nicer looking table - -{% special_table %} -{% /special_table %} - -| Topic | -|--------------| -| [👀 Observability](/deployment/observability) | -| [✈️ Migration](/deployment/migration) | -| 🚧 *More Coming Soon* | - -### Lists - -- Item 1 -- Item 2 - -### Images - -![Alt text](https://source.unsplash.com/random/800x600) - -### Links - -[Click me](https://www.example.com) - -### Emojis - -🎉🎉🎉 - -### Alerts - -{% note type="default" title="Default" %} -I am alive -{% /note %} - -{% note type="caution" title="Caution" %} -I am alive -{% /note %} - -{% note type="warning" title="Warning" %} -I am alive -{% /note %} - -{% note type="tip" title="Tip" %} -I am alive -{% /note %} - - -### text - -# Heading 1 -## Heading 2 -### Heading 3 -#### Heading 4 - -### Horizontal rules - ---- - -### Code - -`code text` diff --git a/docs/docs.trychroma.com/pages/reference/index.md b/docs/docs.trychroma.com/pages/reference/index.md deleted file mode 100644 index 309cefbb885..00000000000 --- a/docs/docs.trychroma.com/pages/reference/index.md +++ /dev/null @@ -1,32 +0,0 @@ ---- -title: 🔧 Reference ---- - -## Client APIs - -Chroma currently maintains 1st party clients for Python and Javascript. For other clients in other languages, use their repos for documentation. - -`Client` - is the object that wraps a connection to a backing Chroma DB - -`Collection` - is the object that wraps a collection - - -{% special_table %} -{% /special_table %} - -| | Client | Collection | -|--------------|-----------|---------------| -| Python | [Client](/reference/py-client) | [Collection](/reference/py-collection) | -| Javascript | [Client](/reference/js-client) | [Collection](/reference/js-collection) | - -*** - -## Backend API - -Chroma's backend Swagger REST API docs are viewable by running Chroma and navigating to `http://localhost:8000/docs`. - -```bash -pip install chromadb -chroma run -open http://localhost:8000/docs -``` diff --git a/docs/docs.trychroma.com/pages/reference/js-client.md b/docs/docs.trychroma.com/pages/reference/js-client.md deleted file mode 100644 index 755d6d65f64..00000000000 --- a/docs/docs.trychroma.com/pages/reference/js-client.md +++ /dev/null @@ -1,300 +0,0 @@ ---- -title: JS Client ---- - -# Class: ChromaClient - -[ChromaClient](../modules/ChromaClient.md).ChromaClient - -## Constructors - -### constructor - -• **new ChromaClient**(`params?`) - -Creates a new ChromaClient instance. - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `ChromaClientParams` | The parameters for creating a new client | - -**`Example`** - -```typescript -const client = new ChromaClient({ - path: "http://localhost:8000" -}); -``` - -## Methods - -### countCollections - -▸ **countCollections**(): `Promise`\<`number`\> - -Counts all collections. - -#### Returns - -`Promise`\<`number`\> - -A promise that resolves to the number of collections. - -**`Throws`** - -If there is an issue counting the collections. - -**`Example`** - -```typescript -const collections = await client.countCollections(); -``` - -___ - -### createCollection - -▸ **createCollection**(`params`): `Promise`\<[`Collection`](Collection.Collection.md)\> - -Creates a new collection with the specified properties. - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `CreateCollectionParams` | The parameters for creating a new collection. | - -#### Returns - -`Promise`\<[`Collection`](Collection.Collection.md)\> - -A promise that resolves to the created collection. - -**`Throws`** - -If the client is unable to connect to the server. - -**`Throws`** - -If there is an issue creating the collection. - -**`Example`** - -```typescript -const collection = await client.createCollection({ - name: "my_collection", - metadata: { - "description": "My first collection" - } -}); -``` - -___ - -### deleteCollection - -▸ **deleteCollection**(`params`): `Promise`\<`void`\> - -Deletes a collection with the specified name. - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `DeleteCollectionParams` | The parameters for deleting a collection. | - -#### Returns - -`Promise`\<`void`\> - -A promise that resolves when the collection is deleted. - -**`Throws`** - -If there is an issue deleting the collection. - -**`Example`** - -```typescript -await client.deleteCollection({ - name: "my_collection" -}); -``` - -___ - -### getCollection - -▸ **getCollection**(`params`): `Promise`\<[`Collection`](Collection.Collection.md)\> - -Gets a collection with the specified name. - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `GetCollectionParams` | The parameters for getting a collection. | - -#### Returns - -`Promise`\<[`Collection`](Collection.Collection.md)\> - -A promise that resolves to the collection. - -**`Throws`** - -If there is an issue getting the collection. - -**`Example`** - -```typescript -const collection = await client.getCollection({ - name: "my_collection" -}); -``` - -___ - -### getOrCreateCollection - -▸ **getOrCreateCollection**(`params`): `Promise`\<[`Collection`](Collection.Collection.md)\> - -Gets or creates a collection with the specified properties. - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `CreateCollectionParams` | The parameters for creating a new collection. | - -#### Returns - -`Promise`\<[`Collection`](Collection.Collection.md)\> - -A promise that resolves to the got or created collection. - -**`Throws`** - -If there is an issue getting or creating the collection. - -**`Example`** - -```typescript -const collection = await client.getOrCreateCollection({ - name: "my_collection", - metadata: { - "description": "My first collection" - } -}); -``` - -___ - -### heartbeat - -▸ **heartbeat**(): `Promise`\<`number`\> - -Returns a heartbeat from the Chroma API. - -#### Returns - -`Promise`\<`number`\> - -A promise that resolves to the heartbeat from the Chroma API. - -**`Throws`** - -If the client is unable to connect to the server. - -**`Example`** - -```typescript -const heartbeat = await client.heartbeat(); -``` - -___ - -### listCollections - -▸ **listCollections**(`«destructured»?`): `Promise`\<`CollectionParams`[]\> - -Lists all collections. - -#### Parameters - -| Name | Type | -| :------ | :------ | -| `«destructured»` | `ListCollectionsParams` | - -#### Returns - -`Promise`\<`CollectionParams`[]\> - -A promise that resolves to a list of collection names. - -**`Throws`** - -If there is an issue listing the collections. - -**`Example`** - -```typescript -const collections = await client.listCollections({ - limit: 10, - offset: 0, -}); -``` - -___ - -### reset - -▸ **reset**(): `Promise`\<`boolean`\> - -Resets the state of the object by making an API call to the reset endpoint. - -#### Returns - -`Promise`\<`boolean`\> - -A promise that resolves when the reset operation is complete. - -**`Throws`** - -If the client is unable to connect to the server. - -**`Throws`** - -If the server experienced an error while the state. - -**`Example`** - -```typescript -await client.reset(); -``` - -___ - -### version - -▸ **version**(): `Promise`\<`string`\> - -Returns the version of the Chroma API. - -#### Returns - -`Promise`\<`string`\> - -A promise that resolves to the version of the Chroma API. - -**`Throws`** - -If the client is unable to connect to the server. - -**`Example`** - -```typescript -const version = await client.version(); -``` diff --git a/docs/docs.trychroma.com/pages/reference/js-collection.md b/docs/docs.trychroma.com/pages/reference/js-collection.md deleted file mode 100644 index 6533c04490f..00000000000 --- a/docs/docs.trychroma.com/pages/reference/js-collection.md +++ /dev/null @@ -1,312 +0,0 @@ ---- -title: JS Collection ---- - -# Class: Collection - -[Collection](../modules/Collection.md).Collection - -## Properties - -### id - -• **id**: `string` - -___ - -### metadata - -• **metadata**: `CollectionMetadata` - -___ - -### name - -• **name**: `string` - -## Methods - -### add - -▸ **add**(`params`): `Promise`\<`void`\> - -Add items to the collection - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `AddRecordsParams` | The parameters for the query. | - -#### Returns - -`Promise`\<`void`\> - -- The response from the API. True if successful. - -**`Example`** - -```typescript -const response = await collection.add({ - ids: ["id1", "id2"], - embeddings: [[1, 2, 3], [4, 5, 6]], - metadatas: [{ "key": "value" }, { "key": "value" }], - documents: ["document1", "document2"] -}); -``` - -___ - -### count - -▸ **count**(): `Promise`\<`number`\> - -Count the number of items in the collection - -#### Returns - -`Promise`\<`number`\> - -- The number of items in the collection. - -**`Example`** - -```typescript -const count = await collection.count(); -``` - -___ - -### delete - -▸ **delete**(`params?`): `Promise`\<`string`[]\> - -Deletes items from the collection. - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `DeleteParams` | The parameters for deleting items from the collection. | - -#### Returns - -`Promise`\<`string`[]\> - -A promise that resolves to the IDs of the deleted items. - -**`Throws`** - -If there is an issue deleting items from the collection. - -**`Example`** - -```typescript -const results = await collection.delete({ - ids: "some_id", - where: {"name": {"$eq": "John Doe"}}, - whereDocument: {"$contains":"search_string"} -}); -``` - -___ - -### get - -▸ **get**(`params?`): `Promise`\<`MultiGetResponse`\> - -Get items from the collection - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `BaseGetParams` | The parameters for the query. | - -#### Returns - -`Promise`\<`MultiGetResponse`\> - -- The response from the server. - -**`Example`** - -```typescript -const response = await collection.get({ - ids: ["id1", "id2"], - where: { "key": "value" }, - limit: 10, - offset: 0, - include: ["embeddings", "metadatas", "documents"], - whereDocument: { $contains: "value" }, -}); -``` - -___ - -### modify - -▸ **modify**(`params`): `Promise`\<`CollectionParams`\> - -Modify the collection name or metadata - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `Object` | The parameters for the query. | -| `params.metadata?` | `CollectionMetadata` | Optional new metadata for the collection. | -| `params.name?` | `string` | Optional new name for the collection. | - -#### Returns - -`Promise`\<`CollectionParams`\> - -- The response from the API. - -**`Example`** - -```typescript -const response = await client.updateCollection({ - name: "new name", - metadata: { "key": "value" }, -}); -``` - -___ - -### peek - -▸ **peek**(`params?`): `Promise`\<`MultiGetResponse`\> - -Peek inside the collection - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `PeekParams` | The parameters for the query. | - -#### Returns - -`Promise`\<`MultiGetResponse`\> - -A promise that resolves to the query results. - -**`Throws`** - -If there is an issue executing the query. - -**`Example`** - -```typescript -const results = await collection.peek({ - limit: 10 -}); -``` - -___ - -### query - -▸ **query**(`params`): `Promise`\<`MultiQueryResponse`\> - -Performs a query on the collection using the specified parameters. - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `QueryRecordsParams` | The parameters for the query. | - -#### Returns - -`Promise`\<`MultiQueryResponse`\> - -A promise that resolves to the query results. - -**`Throws`** - -If there is an issue executing the query. - -**`Example`** - -```ts -// Query the collection using embeddings -const results = await collection.query({ - queryEmbeddings: [[0.1, 0.2, ...], ...], - nResults: 10, - where: {"name": {"$eq": "John Doe"}}, - include: ["metadata", "document"] -}); -``` - -**`Example`** - -```js -// Query the collection using query text -const results = await collection.query({ - queryTexts: "some text", - nResults: 10, - where: {"name": {"$eq": "John Doe"}}, - include: ["metadata", "document"] -}); -``` - -___ - -### update - -▸ **update**(`params`): `Promise`\<`void`\> - -Update items in the collection - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `UpdateRecordsParams` | The parameters for the query. | - -#### Returns - -`Promise`\<`void`\> - -**`Example`** - -```typescript -const response = await collection.update({ - ids: ["id1", "id2"], - embeddings: [[1, 2, 3], [4, 5, 6]], - metadatas: [{ "key": "value" }, { "key": "value" }], - documents: ["document1", "document2"], -}); -``` - -___ - -### upsert - -▸ **upsert**(`params`): `Promise`\<`void`\> - -Upsert items to the collection - -#### Parameters - -| Name | Type | Description | -| :------ | :------ | :------ | -| `params` | `AddRecordsParams` | The parameters for the query. | - -#### Returns - -`Promise`\<`void`\> - -**`Example`** - -```typescript -const response = await collection.upsert({ - ids: ["id1", "id2"], - embeddings: [[1, 2, 3], [4, 5, 6]], - metadatas: [{ "key": "value" }, { "key": "value" }], - documents: ["document1", "document2"], -}); -``` diff --git a/docs/docs.trychroma.com/pages/reference/openapi.md b/docs/docs.trychroma.com/pages/reference/openapi.md deleted file mode 100644 index b3a3ef2700d..00000000000 --- a/docs/docs.trychroma.com/pages/reference/openapi.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: OpenAPI ---- diff --git a/docs/docs.trychroma.com/pages/reference/py-client.md b/docs/docs.trychroma.com/pages/reference/py-client.md deleted file mode 100644 index e9be33571f6..00000000000 --- a/docs/docs.trychroma.com/pages/reference/py-client.md +++ /dev/null @@ -1,500 +0,0 @@ ---- -title: Client ---- - - -## configure - -```python -def configure(**kwargs) -> None -``` - -Override Chroma's default settings, environment variables or .env files - -## EphemeralClient - -```python -def EphemeralClient(settings: Optional[Settings] = None, - tenant: str = DEFAULT_TENANT, - database: str = DEFAULT_DATABASE) -> ClientAPI -``` - -Creates an in-memory instance of Chroma. This is useful for testing and -development, but not recommended for production use. - -**Arguments**: - -- `tenant` - The tenant to use for this client. Defaults to the default tenant. -- `database` - The database to use for this client. Defaults to the default database. - -## PersistentClient - -```python -def PersistentClient(path: str = "./chroma", - settings: Optional[Settings] = None, - tenant: str = DEFAULT_TENANT, - database: str = DEFAULT_DATABASE) -> ClientAPI -``` - -Creates a persistent instance of Chroma that saves to disk. This is useful for -testing and development, but not recommended for production use. - -**Arguments**: - -- `path` - The directory to save Chroma's data to. Defaults to "./chroma". -- `tenant` - The tenant to use for this client. Defaults to the default tenant. -- `database` - The database to use for this client. Defaults to the default database. - -## HttpClient - -```python -def HttpClient(host: str = "localhost", - port: int = 8000, - ssl: bool = False, - headers: Optional[Dict[str, str]] = None, - settings: Optional[Settings] = None, - tenant: str = DEFAULT_TENANT, - database: str = DEFAULT_DATABASE) -> ClientAPI -``` - -Creates a client that connects to a remote Chroma server. This supports -many clients connecting to the same server, and is the recommended way to -use Chroma in production. - -**Arguments**: - -- `host` - The hostname of the Chroma server. Defaults to "localhost". -- `port` - The port of the Chroma server. Defaults to "8000". -- `ssl` - Whether to use SSL to connect to the Chroma server. Defaults to False. -- `headers` - A dictionary of headers to send to the Chroma server. Defaults to {}. -- `settings` - A dictionary of settings to communicate with the chroma server. -- `tenant` - The tenant to use for this client. Defaults to the default tenant. -- `database` - The database to use for this client. Defaults to the default database. - -## AsyncHttpClient - -```python -async def AsyncHttpClient(host: str = "localhost", - port: int = 8000, - ssl: bool = False, - headers: Optional[Dict[str, str]] = None, - settings: Optional[Settings] = None, - tenant: str = DEFAULT_TENANT, - database: str = DEFAULT_DATABASE) -> AsyncClientAPI -``` - -Creates an async client that connects to a remote Chroma server. This supports -many clients connecting to the same server, and is the recommended way to -use Chroma in production. - -**Arguments**: - -- `host` - The hostname of the Chroma server. Defaults to "localhost". -- `port` - The port of the Chroma server. Defaults to "8000". -- `ssl` - Whether to use SSL to connect to the Chroma server. Defaults to False. -- `headers` - A dictionary of headers to send to the Chroma server. Defaults to {}. -- `settings` - A dictionary of settings to communicate with the chroma server. -- `tenant` - The tenant to use for this client. Defaults to the default tenant. -- `database` - The database to use for this client. Defaults to the default database. - -## CloudClient - -```python -def CloudClient(tenant: str, - database: str, - api_key: Optional[str] = None, - settings: Optional[Settings] = None, - *, - cloud_host: str = "api.trychroma.com", - cloud_port: int = 8000, - enable_ssl: bool = True) -> ClientAPI -``` - -Creates a client to connect to a tennant and database on the Chroma cloud. - -**Arguments**: - -- `tenant` - The tenant to use for this client. -- `database` - The database to use for this client. -- `api_key` - The api key to use for this client. - -## Client - -```python -def Client(settings: Settings = __settings, - tenant: str = DEFAULT_TENANT, - database: str = DEFAULT_DATABASE) -> ClientAPI -``` - -Return a running chroma.API instance - -tenant: The tenant to use for this client. Defaults to the default tenant. -database: The database to use for this client. Defaults to the default database. - -## AdminClient - -```python -def AdminClient(settings: Settings = Settings()) -> AdminAPI -``` - -Creates an admin client that can be used to create tenants and databases. - - -# BaseClient Methods - -```python -class BaseAPI(ABC) -``` - -## heartbeat - -```python -def heartbeat() -> int -``` - -Get the current time in nanoseconds since epoch. -Used to check if the server is alive. - -**Returns**: - -- `int` - The current time in nanoseconds since epoch - -## count\_collections - -```python -def count_collections() -> int -``` - -Count the number of collections. - -**Returns**: - -- `int` - The number of collections. - - -**Examples**: - - ```python - client.count_collections() - # 1 - ``` - -## delete\_collection - -```python -def delete_collection(name: str) -> None -``` - -Delete a collection with the given name. - -**Arguments**: - -- `name` - The name of the collection to delete. - - -**Raises**: - -- `ValueError` - If the collection does not exist. - - -**Examples**: - - ```python - client.delete_collection("my_collection") - ``` - -## reset - -```python -def reset() -> bool -``` - -Resets the database. This will delete all collections and entries. - -**Returns**: - -- `bool` - True if the database was reset successfully. - -## get\_version - -```python -def get_version() -> str -``` - -Get the version of Chroma. - -**Returns**: - -- `str` - The version of Chroma - -## get\_settings - -```python -def get_settings() -> Settings -``` - -Get the settings used to initialize. - -**Returns**: - -- `Settings` - The settings used to initialize. - -## get\_max\_batch\_size - -```python -def get_max_batch_size() -> int -``` - -Return the maximum number of records that can be created or mutated in a single call. - -# ClientClient Methods - -```python -class ClientAPI(BaseAPI, ABC) -``` - -## list\_collections - -```python -def list_collections(limit: Optional[int] = None, - offset: Optional[int] = None) -> List[str] -``` - -List all collection names. - -**Arguments**: - -- `limit` - The maximum number of entries to return. Defaults to None. -- `offset` - The number of entries to skip before returning. Defaults to None. - - -**Returns**: - -- `Sequence[Collection]` - A list of collections - - -**Examples**: - -```python -client.list_collections() -# [collection(name="my_collection", metadata={})] -``` - -## create\_collection - -```python -def create_collection(name: str, - configuration: Optional[CollectionConfiguration] = None, - metadata: Optional[CollectionMetadata] = None, - embedding_function: Optional[EmbeddingFunction[ - Embeddable]] = ef.DefaultEmbeddingFunction(), - data_loader: Optional[DataLoader[Loadable]] = None, - get_or_create: bool = False) -> Collection -``` - -Create a new collection with the given name and metadata. - -**Arguments**: - -- `name` - The name of the collection to create. -- `metadata` - Optional metadata to associate with the collection. -- `embedding_function` - Optional function to use to embed documents. - Uses the default embedding function if not provided. -- `get_or_create` - If True, return the existing collection if it exists. -- `data_loader` - Optional function to use to load records (documents, images, etc.) - - -**Returns**: - -- `Collection` - The newly created collection. - - -**Raises**: - -- `ValueError` - If the collection already exists and get_or_create is False. -- `ValueError` - If the collection name is invalid. - - -**Examples**: - - ```python - client.create_collection("my_collection") - # collection(name="my_collection", metadata={}) - - client.create_collection("my_collection", metadata={"foo": "bar"}) - # collection(name="my_collection", metadata={"foo": "bar"}) - ``` - -## get\_collection - -```python -def get_collection( - name: str, - embedding_function: Optional[ - EmbeddingFunction[Embeddable]] = ef.DefaultEmbeddingFunction(), - data_loader: Optional[DataLoader[Loadable]] = None) -> Collection -``` - -Get a collection with the given name. - -**Arguments**: - -- `id` - The UUID of the collection to get. Id and Name are simultaneously used for lookup if provided. -- `name` - The name of the collection to get -- `embedding_function` - Optional function to use to embed documents. - Uses the default embedding function if not provided. -- `data_loader` - Optional function to use to load records (documents, images, etc.) - - -**Returns**: - -- `Collection` - The collection - - -**Raises**: - -- `ValueError` - If the collection does not exist - - -**Examples**: - - ```python - client.get_collection("my_collection") - # collection(name="my_collection", metadata={}) - ``` - -## get\_or\_create\_collection - -```python -def get_or_create_collection( - name: str, - configuration: Optional[CollectionConfiguration] = None, - metadata: Optional[CollectionMetadata] = None, - embedding_function: Optional[ - EmbeddingFunction[Embeddable]] = ef.DefaultEmbeddingFunction(), - data_loader: Optional[DataLoader[Loadable]] = None) -> Collection -``` - -Get or create a collection with the given name and metadata. - -**Arguments**: - -- `name` - The name of the collection to get or create -- `metadata` - Optional metadata to associate with the collection. If - the collection alredy exists, the metadata will be ignored. If the collection does not exist, the - new collection will be created with the provided metadata. -- `embedding_function` - Optional function to use to embed documents -- `data_loader` - Optional function to use to load records (documents, images, etc.) - - -**Returns**: - - The collection - - -**Examples**: - - ```python - client.get_or_create_collection("my_collection") - # collection(name="my_collection", metadata={}) - ``` - -## set\_tenant - -```python -def set_tenant(tenant: str, database: str = DEFAULT_DATABASE) -> None -``` - -Set the tenant and database for the client. Raises an error if the tenant or -database does not exist. - -**Arguments**: - -- `tenant` - The tenant to set. -- `database` - The database to set. - -## set\_database - -```python -def set_database(database: str) -> None -``` - -Set the database for the client. Raises an error if the database does not exist. - -**Arguments**: - -- `database` - The database to set. - -## clear\_system\_cache - -```python -@staticmethod -def clear_system_cache() -> None -``` - -Clear the system cache so that new systems can be created for an existing path. -This should only be used for testing purposes. - -# AdminClient Methods - -```python -class AdminAPI(ABC) -``` - -## create\_database - -```python -def create_database(name: str, tenant: str = DEFAULT_TENANT) -> None -``` - -Create a new database. Raises an error if the database already exists. - -**Arguments**: - -- `database` - The name of the database to create. - -## get\_database - -```python -def get_database(name: str, tenant: str = DEFAULT_TENANT) -> Database -``` - -Get a database. Raises an error if the database does not exist. - -**Arguments**: - -- `database` - The name of the database to get. -- `tenant` - The tenant of the database to get. - -## create\_tenant - -```python -def create_tenant(name: str) -> None -``` - -Create a new tenant. Raises an error if the tenant already exists. - -**Arguments**: - -- `tenant` - The name of the tenant to create. - -## get\_tenant - -```python -def get_tenant(name: str) -> Tenant -``` - -Get a tenant. Raises an error if the tenant does not exist. - -**Arguments**: - -- `tenant` - The name of the tenant to get. - -# ServerClient Methods - -```python -class ServerAPI(BaseAPI, AdminAPI, Component) -``` - -An API instance that extends the relevant Base API methods by passing -in a tenant and database. This is the root component of the Chroma System diff --git a/docs/docs.trychroma.com/pages/reference/py-collection.md b/docs/docs.trychroma.com/pages/reference/py-collection.md deleted file mode 100644 index 3202689e504..00000000000 --- a/docs/docs.trychroma.com/pages/reference/py-collection.md +++ /dev/null @@ -1,218 +0,0 @@ ---- -title: Collection ---- - -# Collection Objects - -```python -class Collection(BaseModel) -``` - -# count - -```python -def count() -> int -``` - -The total number of embeddings added to the database - -**Returns**: - -- `int` - The total number of embeddings added to the database - -# add - -```python -def add(ids: OneOrMany[ID], - embeddings: Optional[OneOrMany[Embedding]] = None, - metadatas: Optional[OneOrMany[Metadata]] = None, - documents: Optional[OneOrMany[Document]] = None) -> None -``` - -Add embeddings to the data store. - -**Arguments**: - -- `ids` - The ids of the embeddings you wish to add -- `embeddings` - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional. -- `metadatas` - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional. -- `documents` - The documents to associate with the embeddings. Optional. - - -**Returns**: - - None - - -**Raises**: - -- `ValueError` - If you don't provide either embeddings or documents -- `ValueError` - If the length of ids, embeddings, metadatas, or documents don't match -- `ValueError` - If you don't provide an embedding function and don't provide embeddings -- `DuplicateIDError` - If you provide an id that already exists - -# get - -```python -def get(ids: Optional[OneOrMany[ID]] = None, - where: Optional[Where] = None, - limit: Optional[int] = None, - offset: Optional[int] = None, - where_document: Optional[WhereDocument] = None, - include: Include = ["metadatas", "documents"]) -> GetResult -``` - -Get embeddings and their associate data from the data store. If no ids or where filter is provided returns -all embeddings up to limit starting at offset. - -**Arguments**: - -- `ids` - The ids of the embeddings to get. Optional. -- `where` - A Where type dict used to filter results by. E.g. `{"color" : "red", "price": 4.20}`. Optional. -- `limit` - The number of documents to return. Optional. -- `offset` - The offset to start returning results from. Useful for paging results with limit. Optional. -- `where_document` - A WhereDocument type dict used to filter by the documents. E.g. `{$contains: {"text": "hello"}}`. Optional. -- `include` - A list of what to include in the results. Can contain `"embeddings"`, `"metadatas"`, `"documents"`. Ids are always included. Defaults to `["metadatas", "documents"]`. Optional. - - -**Returns**: - -- `GetResult` - A GetResult object containing the results. - -# peek - -```python -def peek(limit: int = 10) -> GetResult -``` - -Get the first few results in the database up to limit - -**Arguments**: - -- `limit` - The number of results to return. - - -**Returns**: - -- `GetResult` - A GetResult object containing the results. - -# query - -```python -def query( - query_embeddings: Optional[OneOrMany[Embedding]] = None, - query_texts: Optional[OneOrMany[Document]] = None, - n_results: int = 10, - where: Optional[Where] = None, - where_document: Optional[WhereDocument] = None, - include: Include = ["metadatas", "documents", - "distances"]) -> QueryResult -``` - -Get the n_results nearest neighbor embeddings for provided query_embeddings or query_texts. - -**Arguments**: - -- `query_embeddings` - The embeddings to get the closes neighbors of. Optional. -- `query_texts` - The document texts to get the closes neighbors of. Optional. -- `n_results` - The number of neighbors to return for each query_embedding or query_texts. Optional. -- `where` - A Where type dict used to filter results by. E.g. `{"color" : "red", "price": 4.20}`. Optional. -- `where_document` - A WhereDocument type dict used to filter by the documents. E.g. `{$contains: {"text": "hello"}}`. Optional. -- `include` - A list of what to include in the results. Can contain `"embeddings"`, `"metadatas"`, `"documents"`, `"distances"`. Ids are always included. Defaults to `["metadatas", "documents", "distances"]`. Optional. - - -**Returns**: - -- `QueryResult` - A QueryResult object containing the results. - - -**Raises**: - -- `ValueError` - If you don't provide either query_embeddings or query_texts -- `ValueError` - If you provide both query_embeddings and query_texts - -# modify - -```python -def modify(name: Optional[str] = None, - metadata: Optional[CollectionMetadata] = None) -> None -``` - -Modify the collection name or metadata - -**Arguments**: - -- `name` - The updated name for the collection. Optional. -- `metadata` - The updated metadata for the collection. Optional. - - -**Returns**: - - None - -# update - -```python -def update(ids: OneOrMany[ID], - embeddings: Optional[OneOrMany[Embedding]] = None, - metadatas: Optional[OneOrMany[Metadata]] = None, - documents: Optional[OneOrMany[Document]] = None) -> None -``` - -Update the embeddings, metadatas or documents for provided ids. - -**Arguments**: - -- `ids` - The ids of the embeddings to update -- `embeddings` - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional. -- `metadatas` - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional. -- `documents` - The documents to associate with the embeddings. Optional. - - -**Returns**: - - None - -# upsert - -```python -def upsert(ids: OneOrMany[ID], - embeddings: Optional[OneOrMany[Embedding]] = None, - metadatas: Optional[OneOrMany[Metadata]] = None, - documents: Optional[OneOrMany[Document]] = None) -> None -``` - -Update the embeddings, metadatas or documents for provided ids, or create them if they don't exist. - -**Arguments**: - -- `ids` - The ids of the embeddings to update -- `embeddings` - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional. -- `metadatas` - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional. -- `documents` - The documents to associate with the embeddings. Optional. - - -**Returns**: - - None - -# delete - -```python -def delete(ids: Optional[IDs] = None, - where: Optional[Where] = None, - where_document: Optional[WhereDocument] = None) -> None -``` - -Delete the embeddings based on ids and/or a where filter - -**Arguments**: - -- `ids` - The ids of the embeddings to delete -- `where` - A Where type dict used to filter the delection by. E.g. `{"color" : "red", "price": 4.20}`. Optional. -- `where_document` - A WhereDocument type dict used to filter the deletion by the document content. E.g. `{$contains: {"text": "hello"}}`. Optional. - - -**Returns**: - - None diff --git a/docs/docs.trychroma.com/pages/roadmap.md b/docs/docs.trychroma.com/pages/roadmap.md deleted file mode 100644 index 701a7914419..00000000000 --- a/docs/docs.trychroma.com/pages/roadmap.md +++ /dev/null @@ -1,102 +0,0 @@ ---- -title: "🛣️ Roadmap" ---- - -{% note type="default" title="Last Updated" %} -`May 20, 2024` -{% /note %} - -The goal of this doc is to align *core* and *community* efforts for the project and to share what's in store for this year! - -**Sections** -- What is the core Chroma team working on right now? -- What will Chroma prioritize over the next 6mo? -- What areas are great for community contributions? - -## What is the core Chroma team working on right now? - -- 🌩️ Standing up that distributed system as a managed service (aka "Hosted Chroma" - [sign up for waitlist](https://airtable.com/shrOAiDUtS2ILy5vZ)!) - -## What did the Chroma team just complete? - -Features like: -- *New* - [Chroma 0.4](https://www.trychroma.com/blog/chroma_0.4.0) - our first production-oriented release -- 🐍 A more minimal python-client only build target -- ✋ Google PaLM embedding support -- 🎣 OpenAI ChatGPT Retrieval Plugin - -## What will Chroma prioritize over the next 6mo? - -**Next Milestone: ☁️ Launch Hosted Chroma** - -**Areas we will invest in** - -Not an exhaustive list, but these are some of the core team’s biggest priorities over the coming few months. Use caution when contributing in these areas and please check-in with the core team first. - -- ⏩ **Workflow**: Building tools for answer questions like: what embedding model should I use? And how should I chunk up my documents? -- 🌌 **Visualization**: Building visualization tool to give developers greater intuition embedding spaces -- 🔀 **Query Planner**: Building tools to enable per-query and post-query transforms -- 🔧 **Developer experience**: Extending Chroma into a CLI -- 📦 **Easier Data Sharing**: Working on formats for serialization and easier data sharing of embedding Collections -- 🔍 **Improving recall**: Fine-tuning embedding transforms through human feedback -- 🧠 **Analytical horsepower**: Clustering, deduplication, classification and more - -## What areas are great for community contributions? - -This is where you have a lot more free reign to contribute (without having to sync with us first)! - -If you're unsure about your contribution idea, feel free to chat with us (@chroma) in the `#general` channel in [our Discord](https://discord.gg/rahcMUU5XV)! We'd love to support you however we can. - -### ⚙️ Example Templates - -We can always use [more integrations](https://docs.trychroma.com/integrations) with the rest of the AI ecosystem. Please let us know if you're working on one and need help! - -Other great starting points for Chroma (please send PRs for more [here](https://github.com/chroma-core/docs/tree/swyx/addRoadmap/docs)): -- [Google Colab](https://colab.research.google.com/drive/1QEzFyqnoFxq7LUGyP1vzR4iLt9PpCDXv?usp=sharing) -- [Replit Template](https://replit.com/@swyx/BasicChromaStarter?v=1) - -For those integrations we do have, like `LangChain` and `LlamaIndex`, we do always want more tutorials, demos, workshops, videos, and podcasts (we've done some pods [on our blog](https://trychroma.com/blog)). - -### 📦 Example Datasets - -It doesn’t make sense for developers to embed the same information over and over again with the same embedding model. - -We'd like suggestions for: - -- "small" (<100 rows) -- "medium" (<5MB) -- "large" (>1GB) - -datasets for people to stress test Chroma in a variety of scenarios. - -### ⚖️ Embeddings Comparison - -Chroma does ship with Sentence Transformers by default for embeddings, but we are otherwise unopinionated about what embeddings you use. Having a library of information that has been embedded with many models, alongside example query sets would make it much easier for empirical work to be done on the effectiveness of various models across different domains. - -- [Preliminary reading on Embeddings](https://towardsdatascience.com/neural-network-embeddings-explained-4d028e6f0526?gi=ee46baab0d8f) -- [Huggingface Benchmark of a bunch of Embeddings](https://huggingface.co/blog/mteb) -- [notable issues with GPT3 Embeddings](https://twitter.com/Nils_Reimers/status/1487014195568775173) and alternatives to consider - -### ⚗️ Experimental Algorithms - -If you have a research background, please consider adding to our `ExperimentalAPI`s. For example: - -- Projections (t-sne, UMAP, the new hotness, the one you just wrote) and Lightweight visualization -- Clustering (HDBSCAN, PCA) -- Deduplication -- Multimodal (CLIP) -- Fine-tuning manifold with human feedback [eg](https://github.com/openai/openai-cookbook/blob/main/examples/Customizing_embeddings.ipynb) -- Expanded vector search (MMR, Polytope) -- Your research - -### 🧑‍💻️ Additional Client SDKs - -We will be happy to work with people maintaining additional client SDKs as part of the community. Specifically: - -- Ruby -- Clojure -- Elixir - -You can find the REST OpenAPI spec at `localhost:8000/openapi.json` when the backend is running. - -Please [reach out](https://discord.gg/MMeYNTmh3x) and talk to us before you get too far in your projects so that we can offer technical guidance/align on roadmap. diff --git a/docs/docs.trychroma.com/pages/tabs.md b/docs/docs.trychroma.com/pages/tabs.md deleted file mode 100644 index 90073b6767c..00000000000 --- a/docs/docs.trychroma.com/pages/tabs.md +++ /dev/null @@ -1,56 +0,0 @@ ---- -title: Tabs demo ---- - - -{% tabs %} - -{% tab label="React" %} -React content goes here huh -{% /tab %} - -{% tab label="HTML" %} -HTML content goes here ok -{% /tab %} - -{% /tabs %} - - -{% tabs %} - -{% tab label="california" %} -ca babyyy -{% /tab %} - -{% tab label="newyork" %} -nyc babyyy -{% /tab %} - -{% /tabs %} - - -*** - -{% tabs group="code-lang" %} - -{% tab label="Python" %} -22 python -{% /tab %} - -{% tab label="Javascript" %} -22 javascript -{% /tab %} - -{% /tabs %} - -{% tabs group="code-lang" %} - -{% tab label="Python" %} -22 python -{% /tab %} - -{% tab label="Javascript" %} -22 javascript -{% /tab %} - -{% /tabs %} diff --git a/docs/docs.trychroma.com/pages/telemetry.md b/docs/docs.trychroma.com/pages/telemetry.md deleted file mode 100644 index c54e67ddbb1..00000000000 --- a/docs/docs.trychroma.com/pages/telemetry.md +++ /dev/null @@ -1,58 +0,0 @@ ---- -title: "📏 Telemetry" ---- - -Chroma contains a telemetry feature that collects **anonymous** usage information. - -## Why? - -We use this information to help us understand how Chroma is used, to help us prioritize work on new features and bug fixes, and to help us improve Chroma’s performance and stability. - -## Opting out - -If you prefer to opt out of telemetry, you can do this in two ways. - -###### In Client Code - -Set `anonymized_telemetry` to `False` in your client's settings: - -```python -from chromadb.config import Settings -client = chromadb.Client(Settings(anonymized_telemetry=False)) -# or if using PersistentClient -client = chromadb.PersistentClient(path="/path/to/save/to", settings=Settings(anonymized_telemetry=False)) -``` - -###### In Chroma's Backend Using Environment Variables - -Set `ANONYMIZED_TELEMETRY` to `False` in your shell or server environment. - -If you are running Chroma on your local computer with `docker-compose` you can set this value in an `.env` file placed in the same directory as the `docker-compose.yml` file: - -``` -ANONYMIZED_TELEMETRY=False -``` - -## What do you track? - -We will only track usage details that help us make product decisions, specifically: - -- Chroma version and environment details (e.g. OS, Python version, is it running in a container, or in a jupyter notebook) -- Usage of embedding functions that ship with Chroma and aggregated usage of custom embeddings (we collect no information about the custom embeddings themselves) -- Client interactions with our hosted Chroma Cloud service. -- Collection commands. We track the anonymized uuid of a collection as well as the number of items - - `add` - - `update` - - `query` - - `get` - - `delete` - -We **do not** collect personally-identifiable or sensitive information, such as: usernames, hostnames, file names, environment variables, or hostnames of systems being tested. - -To view the list of events we track, you may reference the **[code](https://github.com/chroma-core/chroma/blob/main/chromadb/telemetry/product/events.py)** - -## Where is telemetry information stored? - -We use **[Posthog](https://posthog.com/)** to store and visualize telemetry data. - -> Posthog is an open source platform for product analytics. Learn more about Posthog on **[posthog.com](https://posthog.com/)** or **[github.com/posthog](https://github.com/posthog/posthog)** diff --git a/docs/docs.trychroma.com/pages/troubleshooting.md b/docs/docs.trychroma.com/pages/troubleshooting.md deleted file mode 100644 index e0f90539ead..00000000000 --- a/docs/docs.trychroma.com/pages/troubleshooting.md +++ /dev/null @@ -1,63 +0,0 @@ ---- -title: "🔍 Troubleshooting" ---- - -This page is a list of common gotchas or issues and how to fix them. - -If you don't see your problem listed here, please also search the [Github Issues](https://github.com/chroma-core/chroma/issues). - -## Using .get or .query, embeddings say `None` - -This is actually not an error. Embeddings are quite large and heavy to send back. Most application don't use the underlying embeddings and so, by default, chroma does not send them back. - -To send them back: add `include=["embeddings", "documents", "metadatas", "distances"]` to your query to return all information. - -For example: - -```python -results = collection.query( - query_texts="hello", - n_results=1, - include=["embeddings", "documents", "metadatas", "distances"], -) -``` - -{% note type="tip" %} -We may change `None` to something else to more clearly communicate why they were not returned. -{% /note %} - - -## Build error when running `pip install chromadb` - -If you encounter an error like this during setup - -``` -Failed to build hnswlib -ERROR: Could not build wheels for hnswlib, which is required to install pyproject.toml-based projects -``` - -Try these few tips from the [community](https://github.com/chroma-core/chroma/issues/221): - -1. If you get the error: `clang: error: the clang compiler does not support '-march=native'`, set this ENV variable, `export HNSWLIB_NO_NATIVE=1` -2. If on Mac, install/update xcode dev tools, `xcode-select --install` -3. If on Windows, try [these steps](https://github.com/chroma-core/chroma/issues/250#issuecomment-1540934224) - -## SQLite - -Chroma requires SQLite > 3.35, if you encounter issues with having too low of a SQLite version please try the following. - -1. Install the latest version of Python 3.10, sometimes lower versions of python are bundled with older versions of SQLite. -2. If you are on a Linux system, you can install pysqlite3-binary, `pip install pysqlite3-binary` and then override the default - sqlite3 library before running Chroma with the steps [here](https://gist.github.com/defulmere/8b9695e415a44271061cc8e272f3c300). - Alternatively you can compile SQLite from scratch and replace the library in your python installation with the latest version as documented [here](https://github.com/coleifer/pysqlite3#building-a-statically-linked-library). -3. If you are on Windows, you can manually download the latest version of SQLite from https://www.sqlite.org/download.html and - replace the DLL in your python installation's DLLs folder with the latest version. You can find your python installation path by running `os.path.dirname(sys.executable)` in python. -4. If you are using a Debian based Docker container, older Debian versions do not have an up to date SQLite, please use `bookworm` or higher. - -## Illegal instruction (core dumped) - -If you encounter an error like this during setup and are using Docker - you may have built the library on a machine with a different CPU architecture than the one you are running it on. Try rebuilding the Docker image on the machine you are running it on. - -## My data directory is too large - -If you were using Chroma prior to v0.5.6, you may be able to significantly shrink your database by [vacuuming it](/reference/cli#vacuuming). After vacuuming once, automatic pruning (a new feature in v0.5.6) is enabled and will keep your database size in check. 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100644 docs/docs.trychroma.com/public/x-logo.svg delete mode 100644 docs/docs.trychroma.com/tailwind.config.js create mode 100644 docs/docs.trychroma.com/tailwind.config.ts diff --git a/docs/docs.trychroma.com/README.md b/docs/docs.trychroma.com/README.md index 846120bc35e..e8a6ac1d73d 100644 --- a/docs/docs.trychroma.com/README.md +++ b/docs/docs.trychroma.com/README.md @@ -28,7 +28,7 @@ It also incldues [Shadcn](https://ui.shadcn.com/) with [Tailwind](https://tailwi - Dark/Light Mode - Responsive - Global and Local state management with localstorage persistence -- Tabs +- MarkdocTabs - Code styling with Prism - Toasts diff --git a/docs/docs.trychroma.com/app/[...slug]/layout.tsx b/docs/docs.trychroma.com/app/[...slug]/layout.tsx new file mode 100644 index 00000000000..6e95cde72f1 --- /dev/null +++ b/docs/docs.trychroma.com/app/[...slug]/layout.tsx @@ -0,0 +1,20 @@ +import React from "react"; +import Sidebar from "@/components/sidebar/sidebar"; + +interface LayoutProps { + children: React.ReactNode; + params: { slug: string[] }; +} + +const PageLayout: React.FC = ({ children, params }) => { + const { slug } = params; + + return ( +
+ +
{children}
+
+ ); +}; + +export default PageLayout; diff --git a/docs/docs.trychroma.com/app/[...slug]/not-found.tsx b/docs/docs.trychroma.com/app/[...slug]/not-found.tsx new file mode 100644 index 00000000000..32c601f0168 --- /dev/null +++ b/docs/docs.trychroma.com/app/[...slug]/not-found.tsx @@ -0,0 +1,19 @@ +import React from "react"; +import CodeBlock from "@/components/markdoc/code-block"; + +const notFoundCode = ` +import chromadb + +client = chromadb.Client() +collection = client.get_collection(name="chroma_docs") +results = collection.get(ids=["page"])["documents"] +print(results) # Not found [] +` + +const NotFound = () => { + return
+ +
+} + +export default NotFound; \ No newline at end of file diff --git a/docs/docs.trychroma.com/app/[...slug]/page.tsx b/docs/docs.trychroma.com/app/[...slug]/page.tsx new file mode 100644 index 00000000000..298384066d1 --- /dev/null +++ b/docs/docs.trychroma.com/app/[...slug]/page.tsx @@ -0,0 +1,11 @@ +import React from "react"; +import MarkdocRenderer from "@/components/markdoc/markdoc-renderer"; + +// TODO: Add page metadata for SEO + +const Page: React.FC<{ params: { slug: string[] } }> = ({ params }) => { + const { slug } = params; + return ; +}; + +export default Page; diff --git a/docs/docs.trychroma.com/public/img/favicon.ico b/docs/docs.trychroma.com/app/favicon.ico similarity index 100% rename from docs/docs.trychroma.com/public/img/favicon.ico rename to docs/docs.trychroma.com/app/favicon.ico diff --git a/docs/docs.trychroma.com/app/fonts/GeistMonoVF.woff b/docs/docs.trychroma.com/app/fonts/GeistMonoVF.woff new file mode 100644 index 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components; +@tailwind utilities; + +body { + font-family: Arial, Helvetica, sans-serif; + @apply text-[#27201C] dark:text-white +} + +@layer utilities { + .text-balance { + text-wrap: balance; + } +} + +@layer base { + :root { + --radius: 0.5rem; + } +} diff --git a/docs/docs.trychroma.com/app/layout.tsx b/docs/docs.trychroma.com/app/layout.tsx new file mode 100644 index 00000000000..9856e1e97b0 --- /dev/null +++ b/docs/docs.trychroma.com/app/layout.tsx @@ -0,0 +1,43 @@ +import type { Metadata } from "next"; +import "./globals.css"; +import React from "react"; +import ThemeProvider from "@/components/ui/theme-provider"; +import { Inter } from "next/font/google"; +import Header from "@/components/header/header"; +import PostHogProvider from "@/components/posthog/posthog-provider"; + +export const metadata: Metadata = { + title: "Chroma Docs", + description: "Documentation for ChromaDB", +}; + +const inter = Inter({ subsets: ["latin"] }); + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + + +
+
+
+
+ {children} +
+
+ + + + + ); +} diff --git a/docs/docs.trychroma.com/app/not-found.tsx b/docs/docs.trychroma.com/app/not-found.tsx new file mode 100644 index 00000000000..32c601f0168 --- /dev/null +++ b/docs/docs.trychroma.com/app/not-found.tsx @@ -0,0 +1,19 @@ +import React from "react"; +import CodeBlock from "@/components/markdoc/code-block"; + +const notFoundCode = ` +import chromadb + +client = chromadb.Client() +collection = client.get_collection(name="chroma_docs") +results = collection.get(ids=["page"])["documents"] +print(results) # Not found [] +` + +const NotFound = () => { + return
+ +
+} + +export default NotFound; \ No newline at end of file diff --git a/docs/docs.trychroma.com/app/page.tsx b/docs/docs.trychroma.com/app/page.tsx new file mode 100644 index 00000000000..310aabff76d --- /dev/null +++ b/docs/docs.trychroma.com/app/page.tsx @@ -0,0 +1,5 @@ +import { redirect } from "next/navigation"; + +export default function Home() { + return redirect("/docs/overview/introduction"); +} diff --git a/docs/docs.trychroma.com/components.json b/docs/docs.trychroma.com/components.json index 3011c6a3cc5..88a579834c9 100644 --- a/docs/docs.trychroma.com/components.json +++ b/docs/docs.trychroma.com/components.json @@ -1,17 +1,20 @@ { "$schema": "https://ui.shadcn.com/schema.json", "style": "new-york", - "rsc": false, + "rsc": true, "tsx": true, "tailwind": { - "config": "tailwind.config.js", - "css": "public/globals.css", - "baseColor": "slate", - "cssVariables": true, + "config": "tailwind.config.ts", + "css": "app/globals.css", + "baseColor": "zinc", + "cssVariables": false, "prefix": "" }, "aliases": { - "components": "components", - "utils": "lib/utils" + "components": "@/components", + "utils": "@/lib/utils", + "ui": "@/components/ui", + "lib": "@/lib", + "hooks": "@/hooks" } -} +} \ No newline at end of file diff --git a/docs/docs.trychroma.com/components/CodeBlock.tsx b/docs/docs.trychroma.com/components/CodeBlock.tsx deleted file mode 100644 index 6213afc64cb..00000000000 --- a/docs/docs.trychroma.com/components/CodeBlock.tsx +++ /dev/null @@ -1,194 +0,0 @@ - -import * as React from 'react'; -import CopyToClipboardButton from './CopyToClipboardButton'; -import { useTheme } from 'next-themes'; -import { useRouter } from 'next/router'; - -import Prism from 'prismjs'; -require(`prismjs/components/prism-python.min.js`); -require(`prismjs/components/prism-bash.min.js`); -require(`prismjs/components/prism-javascript.min.js`); -require(`prismjs/components/prism-typescript.min.js`); -require(`prismjs/components/prism-yaml.js`); -require(`prismjs/components/prism-json.min.js`); - -Prism.languages.python = { - ...Prism.languages.python, - 'class-name': /\b[A-Z]\w+/, - - 'function': { - pattern: /(\b\w+\.)?\w+(?=\s*\()/, - // lookbehind: true, - inside: { - 'class': /^[^.]*\./, - 'punctuation': /\./, - 'method': { - pattern: /\w+$/, - alias: 'function' - }, - - }, - } - -}; - -import { Icons } from './ui/icons'; - -interface CodeBlockProps { - children: string; - 'data-language': string; - filename?: string; - obfuscated?: boolean; - codetab?: boolean; -} - -export function CodeBlock({children, 'data-language': language, filename, codetab}: CodeBlockProps) { - const ref = React.useRef(null); - - if (!language) { - language = 'plaintext'; - } - - if (language === 'py') { - language = 'python'; - } - - const [highlightedCode, setHighlightedCode] = React.useState(''); - const [codeWithoutSyntax, setCodeWithoutSyntax] = React.useState(''); - var code$Regex = /^(.*?)#\s*\[\!code\s*\$\]\s*(.*)$/; - - // children without code$Regex - // iterate over the children and remove the code$Regex - let newChildren = children.split('\n').map((line) => { - let match = line.match(code$Regex); - if (match) { - return match[1].trim() - } - return line - }).join('\n') - - React.useEffect(() => { - async function highlight() { - - if (language === 'sh') { - language = 'bash' - } - - Prism.hooks.add(`after-highlight`, function (env) { - // Split the highlighted HTML by line breaks into an array of lines - var lines = env.highlightedCode.split('\n').slice(0, -1); // slice to remove the last empty line - - var wrappedLines = lines.map(function(line) { - // Regex to match the marker with flexible whitespace - - var match = line.match(code$Regex); - if (match) { - // If it does, remove the marker and wrap the line with div.line and add the class - // `match[1]` contains the line without the marker - return '
' + match[1].trim() + '
'; - } else { - // Otherwise, just wrap the line with div.line - return '
' + line + '
'; - } - - }).join(''); - - // Replace the highlightedCode with the wrapped lines - env.element.innerHTML = wrappedLines; - }) - - const env = { - element: {}, - language, - grammar: Prism.languages[language], - highlightedCode: undefined, - code: children - }; - - Prism.hooks.run('before-highlight', env); - env.highlightedCode = Prism.highlight(env.code, env.grammar, env.language); - Prism.hooks.run('before-insert', env); - // @ts-ignore - env.element.innerHTML = env.highlightedCode; - Prism.hooks.run('after-highlight', env); - Prism.hooks.run('complete', env); - - // const highlightedCode = Prism.highlight(children, Prism.languages[language], language); - // Prism.hooks.run('before-tokenize', highlightedCode); - - // @ts-ignore - setHighlightedCode(env.element.innerHTML); - } - - highlight(); - }, [children]); - - let copyIconColor = 'text-gray-500 hover:text-white' - let copyButtonTop = '4px' - - let marginBottom = '1rem' - if (codetab == true) { - marginBottom = '0' - copyButtonTop = '-71px' - } - - return ( -
- - -
-        
-        
-      
- -
- ); -} - -// react component for CustomHeader - -export function CustomHeader({language, filename, codetab}) { - let customHeader = (<>) - - if ((language === 'bash') || (language === 'sh')) { - customHeader = ( -
- -

Command Line

-
- ) - } - - if ((filename)) { - customHeader = ( -
- -

{filename}

-
- ) - } - - // if filename is not provided, then fall back to the language - if ((!filename) && (language !== 'bash') && (language !== 'sh')) { - - // if js, then change to javascript - if (language === 'js') { - language = 'javascript' - } - - customHeader = ( -
- -

{language}

-
- ) - } - - if (codetab == true) { - customHeader = (<>) - } - - return customHeader -} diff --git a/docs/docs.trychroma.com/components/CopyToClipboardButton.tsx b/docs/docs.trychroma.com/components/CopyToClipboardButton.tsx deleted file mode 100644 index ca51a56592e..00000000000 --- a/docs/docs.trychroma.com/components/CopyToClipboardButton.tsx +++ /dev/null @@ -1,49 +0,0 @@ -import React, { useState } from 'react'; -import { Icons } from './ui/icons'; -import { useToast } from './ui/use-toast'; - -const CopyToClipboardButton: React.FC<{ textToCopy: string, className: string, customStyle: any}> = ({ textToCopy, className, customStyle }) => { - const [isCopied, setIsCopied] = useState(false); - - if (customStyle === undefined) { - customStyle = {}; - } - - const {toast} = useToast() - - const copyToClipboard = () => { - const textArea = document.createElement('textarea'); - textArea.value = textToCopy; - document.body.appendChild(textArea); - textArea.select(); - - try { - document.execCommand('copy'); - setIsCopied(true); - } catch (err) { - console.error('Unable to copy to clipboard'); - } finally { - document.body.removeChild(textArea); - } - - toast({ - title: "Copied to clipboard", - }) - - setTimeout(() => { - setIsCopied(false); - }, 2000); - }; - - var copyText = isCopied ? 'Copied!' : 'Copy Code'; - - return ( -
- -
- ); -}; - -export default CopyToClipboardButton; diff --git a/docs/docs.trychroma.com/components/header/discord-link.tsx b/docs/docs.trychroma.com/components/header/discord-link.tsx new file mode 100644 index 00000000000..6d8b4cd7122 --- /dev/null +++ b/docs/docs.trychroma.com/components/header/discord-link.tsx @@ -0,0 +1,29 @@ +import React from "react"; +import Link from "next/link"; +import UIButton from "@/components/ui/ui-button"; +import { DiscordLogoIcon } from "@radix-ui/react-icons"; + +const DiscordLink: React.FC = async () => { + const response = await fetch( + `https://discord.com/api/guilds/1073293645303795742/widget.json`, + { next: { revalidate: 3600 } }, + ); + const onlineUsers = response.ok + ? (await response.json()).presence_count + : undefined; + + return ( + + + + {onlineUsers ? `${onlineUsers} online` : undefined} + + + ); +}; + +export default DiscordLink; diff --git a/docs/docs.trychroma.com/components/header/github-link.tsx b/docs/docs.trychroma.com/components/header/github-link.tsx new file mode 100644 index 00000000000..e7060fe6d60 --- /dev/null +++ b/docs/docs.trychroma.com/components/header/github-link.tsx @@ -0,0 +1,29 @@ +import React from "react"; +import UIButton from "@/components/ui/ui-button"; +import { GitHubLogoIcon } from "@radix-ui/react-icons"; +import { formatToK } from "@/lib/utils"; +import Link from "next/link"; + +const GithubLink: React.FC = async () => { + const response = await fetch( + `https://api.github.com/repos/chroma-core/chroma`, + ); + const stars = response.ok + ? (await response.json()).stargazers_count + : undefined; + + return ( + + + + {stars && formatToK(stars)} + + + ); +}; + +export default GithubLink; diff --git a/docs/docs.trychroma.com/components/header/header.tsx b/docs/docs.trychroma.com/components/header/header.tsx new file mode 100644 index 00000000000..087fbc4fbd4 --- /dev/null +++ b/docs/docs.trychroma.com/components/header/header.tsx @@ -0,0 +1,29 @@ +import React from "react"; +import Logo from "@/components/header/logo"; +import ThemeToggle from "@/components/header/theme-toggle"; +import GithubLink from "@/components/header/github-link"; +import XLink from "@/components/header/x-link"; +import DiscordLink from "@/components/header/discord-link"; +import Link from "next/link"; +import SearchBox from "@/components/header/search-box"; + +const Header: React.FC = () => { + return ( +
+
+ + + + +
+
+ + + + +
+
+ ); +}; + +export default Header; diff --git a/docs/docs.trychroma.com/components/header/language-toggle.tsx b/docs/docs.trychroma.com/components/header/language-toggle.tsx new file mode 100644 index 00000000000..444ef4f7910 --- /dev/null +++ b/docs/docs.trychroma.com/components/header/language-toggle.tsx @@ -0,0 +1,41 @@ +"use client"; + +import React, { useState } from "react"; +import PythonLogo from "../../public/python.svg"; +import TypeScriptLogo from "../../public/typescript.svg"; +import UIButton from "@/components/ui/ui-button"; + +const supportedLanguages: { + [language: string]: React.FC>; +} = { + python: PythonLogo, + typescript: TypeScriptLogo, +}; + +const LanguageToggle: React.FC = () => { + const [preferredLanguage, setPreferredLanguage] = useState("python"); + + const switchLanguage = (language: string) => { + setPreferredLanguage(language); + }; + + return ( +
+ {Object.keys(supportedLanguages).map((language) => { + const Logo = supportedLanguages[language]; + const selected = preferredLanguage === language; + return ( + + + + ); + })} +
+ ); +}; + +export default LanguageToggle; diff --git a/docs/docs.trychroma.com/components/header/logo.tsx b/docs/docs.trychroma.com/components/header/logo.tsx new file mode 100644 index 00000000000..4cf58705441 --- /dev/null +++ b/docs/docs.trychroma.com/components/header/logo.tsx @@ -0,0 +1,16 @@ +import React from "react"; +import ChromaLogo from "../../public/chroma-workmark-color-128.svg"; +import OutlineLogo from "../../public/chroma-wordmark-white-128.svg"; + +const Logo: React.FC = () => { + const logoClass = "w-28 h-10"; + + return ( +
+ +
+ ); +}; + +export default Logo; diff --git a/docs/docs.trychroma.com/components/header/search-box.tsx b/docs/docs.trychroma.com/components/header/search-box.tsx new file mode 100644 index 00000000000..b1ea1a09a7b --- /dev/null +++ b/docs/docs.trychroma.com/components/header/search-box.tsx @@ -0,0 +1,18 @@ +"use client"; + +import React from "react"; +import { DocSearch } from "@docsearch/react"; +import "@docsearch/css"; + +const SearchBox: React.FC = () => { + return ( + + ); +}; + +export default SearchBox; diff --git a/docs/docs.trychroma.com/components/header/sidebar-toggle.tsx b/docs/docs.trychroma.com/components/header/sidebar-toggle.tsx new file mode 100644 index 00000000000..24aac35b85d --- /dev/null +++ b/docs/docs.trychroma.com/components/header/sidebar-toggle.tsx @@ -0,0 +1,21 @@ +import React from "react"; +import { Drawer, DrawerContent, DrawerTrigger } from "@/components/ui/drawer"; +import Sidebar from "@/components/sidebar/sidebar"; +import { SidebarIcon } from "lucide-react"; + +const SidebarToggle: React.FC<{ path: string[] }> = ({ path }) => { + return ( + + +
+ +
+
+ + + +
+ ); +}; + +export default SidebarToggle; diff --git a/docs/docs.trychroma.com/components/header/theme-toggle.tsx b/docs/docs.trychroma.com/components/header/theme-toggle.tsx new file mode 100644 index 00000000000..8eb5ccc2b48 --- /dev/null +++ b/docs/docs.trychroma.com/components/header/theme-toggle.tsx @@ -0,0 +1,29 @@ +"use client"; + +import * as React from "react"; +import { Moon, Sun } from "lucide-react"; +import { useTheme } from "next-themes"; + +import UIButton from "@/components/ui/ui-button"; + +const ThemeToggle = () => { + const { theme, setTheme } = useTheme(); + + const toggleTheme = () => { + if (theme === "dark") { + setTheme("light"); + } else { + setTheme("dark"); + } + }; + + return ( + + + + Toggle theme + + ); +}; + +export default ThemeToggle; diff --git a/docs/docs.trychroma.com/components/header/x-link.tsx b/docs/docs.trychroma.com/components/header/x-link.tsx new file mode 100644 index 00000000000..e627c3c2b91 --- /dev/null +++ b/docs/docs.trychroma.com/components/header/x-link.tsx @@ -0,0 +1,21 @@ +import React from "react"; +import Link from "next/link"; +import UIButton from "@/components/ui/ui-button"; +import XLogo from "../../public/x-logo.svg"; + +const XLink: React.FC = () => { + return ( + + + +

17.7k

+
+ + ); +}; + +export default XLink; diff --git a/docs/docs.trychroma.com/components/layout/SideNav.tsx b/docs/docs.trychroma.com/components/layout/SideNav.tsx deleted file mode 100644 index 3d6e92d9009..00000000000 --- a/docs/docs.trychroma.com/components/layout/SideNav.tsx +++ /dev/null @@ -1,142 +0,0 @@ -import React from 'react'; -import { useRouter } from 'next/router'; -import Link from 'next/link'; - -import { - DropdownMenu, - DropdownMenuContent, - DropdownMenuItem, - DropdownMenuLabel, - DropdownMenuSeparator, - DropdownMenuTrigger, -} from "../ui/dropdown-menu" - -interface LinkItem { - href: string; - children: React.ReactNode; -} - -interface SideNavItem { - title: string; - links: LinkItem[]; -} - -interface SidebarNavItemFlat { - title: string; - href: string; - children: React.ReactNode; - type: string; -} - -const ROOT_ITEMS = require(`../../pages/_sidenav.js`).items; - -export function SideNav() { - const router = useRouter(); - - // Dynamically import the sidenav configuration based on the current path - // Assuming the items are of type SideNavItem[] - let pathVar = router.asPath.split('/')[1] !== undefined ? router.asPath.split('/')[1] : ''; - pathVar = pathVar.split('?')[0]; - - let group = false - let groupObject = null - // iterate through ROOT_ITEMS to see if pathVar is a group or not - // this tell us whether to show the root items or the group items - ROOT_ITEMS.map((item: SidebarNavItemFlat) => { - if (item.href === `/${pathVar}` && item.type === 'group') { - group = true - groupObject = item - } - }) - - pathVar = (pathVar !== "") ? pathVar + '/' : pathVar; - if (!group) pathVar = ''; - const items: (SideNavItem[] | SidebarNavItemFlat[]) = require(`../../pages/${pathVar}_sidenav.js`).items; - - const navToURL = (url: string) => { - router.push(url); - } - - return ( - <> - - - - ); -} - -// SideNav Link component -export const SideNavLink = ({ href, title }) => { - const router = useRouter(); - const activeClass = `sideNavItemActive rounded-md font-medium text-md` - return ( - - {title} - - ); -} diff --git a/docs/docs.trychroma.com/components/layout/TableOfContents.tsx b/docs/docs.trychroma.com/components/layout/TableOfContents.tsx deleted file mode 100644 index 0d9d338fa80..00000000000 --- a/docs/docs.trychroma.com/components/layout/TableOfContents.tsx +++ /dev/null @@ -1,65 +0,0 @@ -import React, { useEffect, useState } from 'react'; -import Link from 'next/link'; - -interface TOCItem { - id: string; - level: number; - title: string; -} - -interface TableOfContentsProps { - toc: TOCItem[]; -} - -export function TableOfContents({ toc }: TableOfContentsProps) { - - const [items, setItems] = useState([]); - - useEffect(() => { - setItems(toc); - }, [toc]); - - // for each item, look for it in the DOM and make sure that it is not hidden - // this enables hiding headings that are hidden from tab state - let visibleItems = []; - items.forEach((item) => { - const el = document.getElementById(item.id); - // if el is null, cull from items - if (el !== null) { - visibleItems.push(item); - } - }); - - // get the minimum level across all items to left align well - const minLevel = Math.min(...items.map((item) => item.level)); - - return ( - - ); -} diff --git a/docs/docs.trychroma.com/components/layout/TopNav.tsx b/docs/docs.trychroma.com/components/layout/TopNav.tsx deleted file mode 100644 index 7293ad8f70b..00000000000 --- a/docs/docs.trychroma.com/components/layout/TopNav.tsx +++ /dev/null @@ -1,43 +0,0 @@ -import React, { useState, ReactNode } from "react"; -import Link from "next/link"; // Assuming you're using Next.js Link, make sure to import it. - -interface TopNavProps { - children: ReactNode; // This type accepts anything that can be rendered: numbers, strings, elements or an array containing these types. -} - -import "@docsearch/css"; -import { DocSearch } from "@docsearch/react"; - -export function TopNav({ children }: TopNavProps) { - return ( -
- -
- ); -} - -function Search() { - return ( - - ); -} diff --git a/docs/docs.trychroma.com/components/layout/state.tsx b/docs/docs.trychroma.com/components/layout/state.tsx deleted file mode 100644 index 2b790c726b0..00000000000 --- a/docs/docs.trychroma.com/components/layout/state.tsx +++ /dev/null @@ -1,42 +0,0 @@ -import React, { createContext, useContext, useEffect, useState } from 'react'; - -// Create a context with a default empty state -export const GlobalStateContext = createContext({ - globalStateObject: {}, - setGlobalStateObject: (state: {}) => {}, -}); - -export const GlobalStateProvider = ({ children }) => { - const [globalStateObject, setGlobalStateObject] = useState(() => { - - let initialState = { 'code-lang': 'python' }; - - if (typeof window !== 'undefined') { - // Attempt to read from local storage - const localState = localStorage.getItem('globalState'); - let localStateObj = {}; - if (localState) { - localStateObj = JSON.parse(localState); - } - - // Merge local storage and query params - initialState = { ...initialState, ...localStateObj}; - } - - return initialState; - }); - - useEffect(() => { - // Ensure window is defined before attempting to use localStorage - if (typeof window !== 'undefined') { - localStorage.setItem('globalState', JSON.stringify(globalStateObject)); - } - - }, [globalStateObject]); - - return ( - - {children} - - ); -}; diff --git a/docs/docs.trychroma.com/components/markdoc/AppLink.tsx b/docs/docs.trychroma.com/components/markdoc/AppLink.tsx deleted file mode 100644 index 53e7cd2cdc7..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/AppLink.tsx +++ /dev/null @@ -1,10 +0,0 @@ -import React from 'react'; -import Link from 'next/link'; - -export function AppLink(props) { - return ( - - {props.children} - - ); -} diff --git a/docs/docs.trychroma.com/components/markdoc/CodeTab.tsx b/docs/docs.trychroma.com/components/markdoc/CodeTab.tsx deleted file mode 100644 index 9b31678e9ba..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/CodeTab.tsx +++ /dev/null @@ -1,12 +0,0 @@ -import React, { ReactNode } from 'react'; -import { TabsContent } from "../ui/tabs" -import slugify from '@sindresorhus/slugify'; - -interface TabProps { - label: string; - children: ReactNode; -} - -export function CodeTab({ label, children }: TabProps) { - return {children} -} diff --git a/docs/docs.trychroma.com/components/markdoc/CodeTabs.tsx b/docs/docs.trychroma.com/components/markdoc/CodeTabs.tsx deleted file mode 100644 index be2ede34ac4..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/CodeTabs.tsx +++ /dev/null @@ -1,36 +0,0 @@ -import React, { createContext, useContext, useState, ReactNode, useEffect, FC } from 'react'; -import { GlobalStateContext } from '../layout/state'; -import { Tabs as ShadTabs, TabsList, TabsTrigger } from "../ui/tabs" -import slugify from '@sindresorhus/slugify'; -import { CustomHeader } from '../CodeBlock'; - -// Define the props for the Tabs component -interface TabsProps { - labels: string[]; - children: ReactNode; - customHeader?: string; -} - -export const CodeTabs: FC = ({ labels, children, customHeader }: TabsProps) => { - - let defaultValue = labels[0] || ''; - if (!customHeader) { - customHeader = ''; - } - - return ( -
- - - -
    - {labels.map((label) => ( - {label} - ))} -
-
- {children} -
-
- ); -}; diff --git a/docs/docs.trychroma.com/components/markdoc/Heading.tsx b/docs/docs.trychroma.com/components/markdoc/Heading.tsx deleted file mode 100644 index 6295aa62e2b..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/Heading.tsx +++ /dev/null @@ -1,67 +0,0 @@ -import * as React from "react"; -import { useRouter } from "next/router"; - -// Define the props type -interface HeadingProps { - id?: string; - level?: 1 | 2 | 3 | 4 | 5 | 6; // assuming level can only be between 1 and 6 - children: React.ReactNode; - className?: string; -} - -export function Heading({ - id = "", - level = 1, - children, - className, -}: HeadingProps) { - const router = useRouter(); - const Component: React.ElementType = `h${level}`; - - const isDocs = router.pathname.startsWith("/docs"); - - if (level === 1) { - className = "text-3xl mb-6 mt-8 font-semibold"; - } - if (level === 2) { - className = "text-2xl mb-4 mt-6 font-semibold"; - } - if (level === 3) { - className = "text-xl mb-4 mt-4 font-semibold"; - } - if (level === 4) { - className = "text-lg mb-4 mt-4 font-semibold"; - } - if (level === 5) { - className = "text-md mb-4 mt-4 font-semibold"; - } - if (level === 6) { - className = "text-sm mb-4 mt-4 font-semibold"; - } - - const link = ( - -
- {children} - ) => { - e.preventDefault(); - navigator.clipboard.writeText( - `${window.location.origin}${router.pathname}#${id}`, - ); - window.history.replaceState( - null, - "", - `${window.location.origin}${router.pathname}#${id}`, - ); - }} - className="text-gray-500 hover:text-gray-700 ml-2 cursor-pointer href-anchor" - > - # - - - ); - - return isDocs && level !== 1 ? {link} : link; -} diff --git a/docs/docs.trychroma.com/components/markdoc/Math.tsx b/docs/docs.trychroma.com/components/markdoc/Math.tsx deleted file mode 100644 index 23b1ba23939..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/Math.tsx +++ /dev/null @@ -1,8 +0,0 @@ -import React from 'react'; -import TeX from '@matejmazur/react-katex'; - -const MathComponent = ({ latexText }) => { - return -}; - -export default MathComponent; diff --git a/docs/docs.trychroma.com/components/markdoc/Note.tsx b/docs/docs.trychroma.com/components/markdoc/Note.tsx deleted file mode 100644 index 5f1dd83bd4a..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/Note.tsx +++ /dev/null @@ -1,39 +0,0 @@ -import React, { ReactNode } from 'react'; -import { Alert, AlertDescription, AlertTitle } from "../../components/ui/alert" -import { Icons } from '../ui/icons'; - -interface NoteProps { - type: 'warning' | 'caution' | 'default' | 'tip'; - title?: string; - children: ReactNode; -} - -export function Note({ type, title, children }: NoteProps) { - - if (!type) type = 'default'; - - let iconFlex = 'items-center'; - if (title !== undefined) iconFlex = 'items-start'; - - return ( - -
- - {(type === 'tip')? : null} - {(type === 'default')? : null} - {(type === 'warning')? : null} - {(type === 'caution')? : null} - -
- {title ? ( - {title} - ) : null} - - {children} - -
-
-
- ) -} diff --git a/docs/docs.trychroma.com/components/markdoc/SpecialTable.tsx b/docs/docs.trychroma.com/components/markdoc/SpecialTable.tsx deleted file mode 100644 index b1f5b037e14..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/SpecialTable.tsx +++ /dev/null @@ -1,3 +0,0 @@ -export function SpecialTable() { - return
- } diff --git a/docs/docs.trychroma.com/components/markdoc/Tab.tsx b/docs/docs.trychroma.com/components/markdoc/Tab.tsx deleted file mode 100644 index f3614f1912e..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/Tab.tsx +++ /dev/null @@ -1,12 +0,0 @@ -import React, { ReactNode } from 'react'; -import { TabsContent } from "../ui/tabs" -import slugify from '@sindresorhus/slugify'; - -interface TabProps { - label: string; - children: ReactNode; -} - -export function Tab({ label, children }: TabProps) { - return {children} -} diff --git a/docs/docs.trychroma.com/components/markdoc/Tabs.tsx b/docs/docs.trychroma.com/components/markdoc/Tabs.tsx deleted file mode 100644 index 6aa7a8136a1..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/Tabs.tsx +++ /dev/null @@ -1,62 +0,0 @@ -import React, { createContext, useContext, useState, ReactNode, useEffect, FC } from 'react'; -import { GlobalStateContext } from '../layout/state'; -import { Tabs as ShadTabs, TabsList, TabsTrigger } from "../ui/tabs" -import slugify from '@sindresorhus/slugify'; - -// Define the props for the Tabs component -interface TabsProps { - labels: string[]; - children: ReactNode; - group?: string; - hideTabs?: boolean; - hideContent?: boolean; -} - -export const Tabs: FC = ({ labels, children, group, hideTabs, hideContent }: TabsProps) => { - const [currentTab, setCurrentTab] = useState(labels[0]); - const [labelsInternal, setLabelsInternal] = useState(labels); - const [createdTime, setCreatedTime] = useState(Date.now()); - - // set labels on init - useEffect(() => { - setLabelsInternal(labels); - }, []); - - const { globalStateObject, setGlobalStateObject } = useContext(GlobalStateContext); - - if (hideTabs === undefined) { - hideTabs = false; - } - if (hideContent === undefined) { - hideContent = false; - } - - // When globalStateObject changes, set the appropriate tab - useEffect(() => { - if (group !== undefined) setCurrentTab(globalStateObject[group]); - }, [globalStateObject]); - - // Function to set the global StateObject and current tab - const setVal = (label: string) => { - if (group !== undefined) setGlobalStateObject({... globalStateObject, [group]: label}); - setCurrentTab(label); - }; - - let defaultValue = labels[0] || ''; - if (group) defaultValue = globalStateObject[group]; - - return ( - - {hideTabs ? null : ( - -
    - {labels.map((label) => ( - setVal(label)}>{label} - ))} -
-
- )} - {hideContent ? null :
{children}
} -
- ); -}; diff --git a/docs/docs.trychroma.com/components/markdoc/banner.tsx b/docs/docs.trychroma.com/components/markdoc/banner.tsx new file mode 100644 index 00000000000..f9268e45fb8 --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/banner.tsx @@ -0,0 +1,26 @@ +import React from "react"; +import { InfoCircledIcon } from "@radix-ui/react-icons"; + +const Banner: React.FC<{ type: string; children: React.ReactNode }> = ({ + type, + children, +}) => { + const styles: Record = { + note: "bg-yellow-500", + tip: "bg-blue-500", + warn: "bg-red-500 ", + }; + + return ( +
+
+
+ {children} +
+
+ ); +}; + +export default Banner; diff --git a/docs/docs.trychroma.com/components/markdoc/centered-content.tsx b/docs/docs.trychroma.com/components/markdoc/centered-content.tsx new file mode 100644 index 00000000000..4f37a0b9528 --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/centered-content.tsx @@ -0,0 +1,9 @@ +import React from "react"; + +const CenteredContent: React.FC<{ children: React.ReactNode }> = ({ + children, +}) => { + return
{children}
; +}; + +export default CenteredContent; diff --git a/docs/docs.trychroma.com/components/markdoc/code-block-header.tsx b/docs/docs.trychroma.com/components/markdoc/code-block-header.tsx new file mode 100644 index 00000000000..2f6c8399581 --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/code-block-header.tsx @@ -0,0 +1,24 @@ +import React from "react"; +import { Playfair_Display } from "next/font/google"; +import CopyButton from "@/components/markdoc/copy-button"; +import { capitalize } from "@/lib/utils"; + +export const tabLabelStyle = `rounded-none px-4 py-2 text-xs font-medium tracking-wider border-b-[1px] border-transparent disabled:pointer-events-none disabled:opacity-50 data-[state=active]:bg-transparent data-[state=active]:text-chroma-orange data-[state=active]:shadow-none data-[state=active]:border-chroma-orange cursor-pointer select-none font-mono tracking-tight`; + +const CodeBlockHeader: React.FC<{ + language: string; + content: string; +}> = ({ language, content }) => { + return ( +
+
+ {capitalize(language)} +
+
+ +
+
+ ); +}; + +export default CodeBlockHeader; diff --git a/docs/docs.trychroma.com/components/markdoc/code-block.tsx b/docs/docs.trychroma.com/components/markdoc/code-block.tsx new file mode 100644 index 00000000000..d3f635a1f42 --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/code-block.tsx @@ -0,0 +1,58 @@ +import React from "react"; +import { unified } from "unified"; +import parse from "remark-parse"; +import rehypeHighlight from "rehype-highlight"; +import remarkRehype from "remark-rehype"; +import rehypeStringify from "rehype-stringify"; +import { visit } from "unist-util-visit"; +import CodeBlockHeader from "@/components/markdoc/code-block-header"; + +import "highlight.js/styles/atom-one-dark.css"; + +const rehypeRemovePre = () => { + return (tree: any) => { + visit(tree, "element", (node) => { + if (node.tagName === "pre" && node.children.length) { + const codeNode = node.children.find( + (child: { tagName: string }) => child.tagName === "code", + ); + if (codeNode) { + node.tagName = "code"; + node.children = codeNode.children; + } + } + }); + }; +}; + +const CodeBlock: React.FC<{ + content: React.ReactNode; + language: string; + showHeader: boolean; + className?: string; +}> = async ({ content, language, showHeader = true, className }) => { + if (typeof content !== "string") { + throw new Error("CodeBlock children must be a string."); + } + + const highlightedCode = await unified() + .use(parse) + .use(remarkRehype) + .use(rehypeHighlight, { subset: [language] }) + .use(rehypeRemovePre) + .use(rehypeStringify) + .process(`\`\`\`${language}\n${content}\`\`\``); + + return ( +
+ {showHeader && language && ( + + )} +
+        
+
+
+ ); +}; + +export default CodeBlock; diff --git a/docs/docs.trychroma.com/components/markdoc/code-tab.tsx b/docs/docs.trychroma.com/components/markdoc/code-tab.tsx new file mode 100644 index 00000000000..a4a4d72db9a --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/code-tab.tsx @@ -0,0 +1,16 @@ +"use client"; + +import React, { useContext } from "react"; +import AppContext from "@/context/app-context"; +import { Tabs } from "@/components/ui/tabs"; + +const CodeTabs: React.FC<{ children: React.ReactNode }> = ({ children }) => { + const { language } = useContext(AppContext); + return ( + + {children} + + ); +}; + +export default CodeTabs; diff --git a/docs/docs.trychroma.com/components/markdoc/copy-button.tsx b/docs/docs.trychroma.com/components/markdoc/copy-button.tsx new file mode 100644 index 00000000000..3950dc17c2a --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/copy-button.tsx @@ -0,0 +1,47 @@ +"use client"; + +import React, { useState } from "react"; +import { + Tooltip, + TooltipContent, + TooltipProvider, + TooltipTrigger, +} from "@/components/ui/tooltip"; +import { CopyIcon } from "lucide-react"; + +const CopyButton: React.FC<{ content: string }> = ({ content }) => { + const [copied, setCopied] = useState(false); + const [open, setOpen] = useState(false); + + const handleCopy = () => { + navigator.clipboard.writeText(content).then(() => { + setCopied(true); + setTimeout(() => setCopied(false), 2000); + }); + }; + + return ( + + + setOpen(true)} + onMouseLeave={() => setOpen(false)} + > + + + +

{copied ? "Copied!" : "Copy"}

+
+
+
+ ); +}; + +export default CopyButton; diff --git a/docs/docs.trychroma.com/components/markdoc/inline-code.tsx b/docs/docs.trychroma.com/components/markdoc/inline-code.tsx new file mode 100644 index 00000000000..cc023c22a9d --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/inline-code.tsx @@ -0,0 +1,11 @@ +import React from "react"; + +const InlineCode: React.FC<{ content: React.ReactNode }> = ({ content }) => { + return ( + + {content} + + ); +}; + +export default InlineCode; diff --git a/docs/docs.trychroma.com/components/markdoc/latex.tsx b/docs/docs.trychroma.com/components/markdoc/latex.tsx new file mode 100644 index 00000000000..9154dfeac7a --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/latex.tsx @@ -0,0 +1,23 @@ +import React from "react"; +import katex from 'katex'; +import 'katex/dist/katex.min.css'; + +const Latex:React.FC<{children: React.ReactNode}> = ({children}) => { + const content = React.Children.toArray(children).join(''); + try { + return ( + + ); + } catch (error) { + console.error(error); + return Error rendering LaTeX; + } +} + +export default Latex; \ No newline at end of file diff --git a/docs/docs.trychroma.com/components/markdoc/markdoc-heading.tsx b/docs/docs.trychroma.com/components/markdoc/markdoc-heading.tsx new file mode 100644 index 00000000000..09da191177b --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/markdoc-heading.tsx @@ -0,0 +1,38 @@ +import React from "react"; + +const generateId = (content: React.ReactNode): string => { + if (typeof content === "string") { + return content + .toLowerCase() + .replace(/[^a-z0-9\s-]/g, "") + .replace(/\s+/g, "-") + .trim(); + } + return ""; +}; + +const Heading: React.FC<{ + level: number; + children: React.ReactNode; + id?: string; +}> = ({ level, children, id }) => { + const HeadingTag: React.ElementType = `h${level}` as React.ElementType; + const headingId = id || generateId(children); + + return ( + + {children} + {headingId && level === 2 && ( + + # + + )} + + ); +}; + +export default Heading; diff --git a/docs/docs.trychroma.com/components/markdoc/markdoc-image.tsx b/docs/docs.trychroma.com/components/markdoc/markdoc-image.tsx new file mode 100644 index 00000000000..fa71448cf9a --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/markdoc-image.tsx @@ -0,0 +1,17 @@ +import React from "react"; +import Image from "next/image"; +import { imageSize } from "image-size"; + +const MarkdocImage: React.FC<{ src: string; alt: string; title?: string }> = ({ + src, + alt, +}) => { + try { + const { width, height } = imageSize(`public/${src}`); + return {alt}; + } catch (e) { + return
; + } +}; + +export default MarkdocImage; diff --git a/docs/docs.trychroma.com/components/markdoc/markdoc-page.tsx b/docs/docs.trychroma.com/components/markdoc/markdoc-page.tsx new file mode 100644 index 00000000000..807ebb6bcab --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/markdoc-page.tsx @@ -0,0 +1,16 @@ +"use client"; + +import React from "react"; +import { AppContextProvider } from "@/context/app-context"; + +const MarkdocPage: React.FC<{ children: React.ReactNode }> = ({ children }) => { + return ( + +
+
{children}
+
+
+ ); +}; + +export default MarkdocPage; diff --git a/docs/docs.trychroma.com/components/markdoc/markdoc-renderer.tsx b/docs/docs.trychroma.com/components/markdoc/markdoc-renderer.tsx new file mode 100644 index 00000000000..5329e8973a6 --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/markdoc-renderer.tsx @@ -0,0 +1,64 @@ +import fs from "fs"; +import path from "path"; +import React from "react"; +import Markdoc from "@markdoc/markdoc"; +import markdocConfig from "@/markdoc/config"; +import { notFound } from "next/navigation"; +import MarkdocPage from "@/components/markdoc/markdoc-page"; +import SidebarToggle from "@/components/header/sidebar-toggle"; +import { GitHubLogoIcon } from "@radix-ui/react-icons"; +import Link from "next/link"; +import { getAllPages, getPagePrevNext } from "@/lib/content"; +import sidebarConfig from "@/markdoc/content/sidebar-config"; +import PageNav from "@/components/markdoc/page-nav"; + +const MarkdocRenderer: React.FC<{ slug: string[] }> = ({ slug }) => { + const filePath = `${path.join(process.cwd(), "markdoc", "content", ...slug)}.md`; + + if (!fs.existsSync(filePath)) { + notFound(); + } + + const source = fs.readFileSync(filePath, "utf-8"); + + const ast = Markdoc.parse(source); + const content = Markdoc.transform(ast, markdocConfig); + + const output = Markdoc.renderers.react(content, React, { + components: markdocConfig.components, + }); + + const GitHubLink = `https://github.com/chroma-core/chroma/tree/main/docs/docs.trychroma.com/markdoc/content/${slug.join("/")}.md`; + + const { prev, next } = getPagePrevNext( + slug, + getAllPages(sidebarConfig, slug[0]), + ); + + return ( + +
+ + {output} +
+ {prev ? ( + + ) : ( +
+ )} + {next ? ( + + ) : ( +
+ )} +
+
+ + Edit this page on GitHub +
+
+ + ); +}; + +export default MarkdocRenderer; diff --git a/docs/docs.trychroma.com/components/markdoc/markdoc-tabs.tsx b/docs/docs.trychroma.com/components/markdoc/markdoc-tabs.tsx new file mode 100644 index 00000000000..32d794c421c --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/markdoc-tabs.tsx @@ -0,0 +1,100 @@ +"use client"; + +import React, { ReactElement, useContext, useRef } from "react"; +import { + Tabs as UITabs, + TabsContent, + TabsList, + TabsTrigger as UITabsTrigger, +} from "@/components/ui/tabs"; +import { capitalize, cn } from "@/lib/utils"; +import { tabLabelStyle } from "@/components/markdoc/code-block-header"; +import AppContext from "@/context/app-context"; +import CodeBlock from "@/components/markdoc/code-block"; +import { Playfair_Display } from "next/font/google"; + +export const playfairDisplay = Playfair_Display({ + subsets: ["latin"], + display: "swap", + weight: "500", + variable: "--font-playfair-display", +}); + +export interface TabProps { + label: string; + children: React.ReactElement<{ content: string; showHeader: boolean }>; +} + +export const TabsTrigger = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ value, ...props }, ref) => { + const { setLanguage } = useContext(AppContext); + const triggerRef = useRef(null); + + return ( + { + setLanguage(value); + }} + /> + ); +}); +TabsTrigger.displayName = "TabsTrigger"; + +const Tab: React.FC = ({ children }) => { + return
{children}
; +}; + +export const MarkdocTabs: React.FC<{ children: ReactElement[] }> = ({ + children, +}) => { + const { language } = useContext(AppContext); + return ( +
+ + + {children.map((tab) => ( + + {capitalize(tab.props.label)} + + ))} + +
+ {children.map((tab) => ( + + {tab.props.children.type === CodeBlock + ? React.cloneElement(tab, { + children: React.cloneElement(tab.props.children, { + showHeader: false, + }), + }) + : tab} + + ))} +
+
+
+ ); +}; + +export default Tab; diff --git a/docs/docs.trychroma.com/components/markdoc/misc.tsx b/docs/docs.trychroma.com/components/markdoc/misc.tsx deleted file mode 100644 index 0dd480614cb..00000000000 --- a/docs/docs.trychroma.com/components/markdoc/misc.tsx +++ /dev/null @@ -1,3 +0,0 @@ -export function Br() { - return
-} diff --git a/docs/docs.trychroma.com/components/markdoc/page-nav.tsx b/docs/docs.trychroma.com/components/markdoc/page-nav.tsx new file mode 100644 index 00000000000..19dd4fa8a14 --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/page-nav.tsx @@ -0,0 +1,37 @@ +"use client"; + +import React from "react"; +import Link from "next/link"; +import { ArrowLeft, ArrowRight } from "lucide-react"; + +const PageNav: React.FC<{ + path: string; + name: string; + type: "prev" | "next"; +}> = ({ path, name, type }) => { + return ( + { + sessionStorage.removeItem("sidebarScrollPosition"); + }} + > +
+ {type === "prev" && ( + <> + +

{name}

+ + )} + {type === "next" && ( + <> +

{name}

+ + + )} +
+ + ); +}; + +export default PageNav; diff --git a/docs/docs.trychroma.com/components/markdoc/tabbed-code-block.tsx b/docs/docs.trychroma.com/components/markdoc/tabbed-code-block.tsx new file mode 100644 index 00000000000..5a4c1119959 --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/tabbed-code-block.tsx @@ -0,0 +1,69 @@ +import React, { ReactElement } from "react"; +import CopyButton from "@/components/markdoc/copy-button"; +import { TabsContent, TabsList } from "@/components/ui/tabs"; +import { tabLabelStyle } from "@/components/markdoc/code-block-header"; +import { capitalize, cn } from "@/lib/utils"; +import CodeBlock from "@/components/markdoc/code-block"; +import { TabProps, TabsTrigger } from "@/components/markdoc/markdoc-tabs"; +import CodeTabs from "@/components/markdoc/code-tab"; + +const TabbedCodeBlock: React.FC<{ + children: ReactElement[]; +}> = ({ children }) => { + const tabs = children.map((tab) => { + return { + label: tab.props.label, + content: tab.props.children.props.content, + render: + tab.props.children.type === CodeBlock + ? React.cloneElement(tab, { + children: React.cloneElement(tab.props.children, { + showHeader: false, + }), + }) + : tab, + }; + }); + + return ( + +
+ + {tabs.map((tab) => ( + + {capitalize(tab.label)} + + ))} + +
+ {tabs.map((tab) => ( + + + + ))} +
+
+
+ {tabs.map((tab) => ( + + {tab.render} + + ))} +
+
+ ); +}; + +export default TabbedCodeBlock; diff --git a/docs/docs.trychroma.com/components/markdoc/tabbed-use-case-code-block.tsx b/docs/docs.trychroma.com/components/markdoc/tabbed-use-case-code-block.tsx new file mode 100644 index 00000000000..87490ba6fdf --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/tabbed-use-case-code-block.tsx @@ -0,0 +1,68 @@ +import React, { ReactElement } from "react"; +import { tabLabelStyle } from "@/components/markdoc/code-block-header"; +import { capitalize, cn } from "@/lib/utils"; +import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"; +import { TabProps } from "@/components/markdoc/markdoc-tabs"; +import CodeBlock from "@/components/markdoc/code-block"; +import CopyButton from "@/components/markdoc/copy-button"; + +const TabbedUseCaseCodeBlock: React.FC<{ + language: string; + children: ReactElement[]; +}> = ({ language, children }) => { + return ( + +
+
+
+ {capitalize(language)} +
+ + {children.map((tab) => ( + + {tab.props.label} + + ))} + +
+
+ {children.map((tab) => ( + + + + ))} +
+
+
+ {children.map((tab) => ( + + {tab.props.children.type === CodeBlock + ? React.cloneElement(tab, { + children: React.cloneElement(tab.props.children, { + showHeader: false, + }), + }) + : tab} + + ))} +
+
+ ); +}; + +export default TabbedUseCaseCodeBlock; diff --git a/docs/docs.trychroma.com/components/markdoc/table.tsx b/docs/docs.trychroma.com/components/markdoc/table.tsx new file mode 100644 index 00000000000..ddc5fa86370 --- /dev/null +++ b/docs/docs.trychroma.com/components/markdoc/table.tsx @@ -0,0 +1,59 @@ +import { + Table as UITable, + TableHeader as UITableHeader, + TableBody as UITableBody, + TableRow as UITableRow, + TableHead as UITableHead, + TableCell as UITableCell, +} from "@/components/ui/table"; +import React from "react"; + +export const Table = React.forwardRef< + HTMLTableElement, + React.HTMLAttributes +>(({ ...props }, ref) => { + return ( +
+ +
+ ); +}); +Table.displayName = "Table"; + +export const TableHeader = React.forwardRef< + HTMLTableSectionElement, + React.HTMLAttributes +>(({ ...props }, ref) => ( + +)); +TableHeader.displayName = "TableHeader"; + +export const TableBody = React.forwardRef< + HTMLTableSectionElement, + React.HTMLAttributes +>(({ ...props }, ref) => ); +TableBody.displayName = "TableBody"; + +export const TableRow = React.forwardRef< + HTMLTableRowElement, + React.HTMLAttributes +>(({ ...props }, ref) => ); +TableRow.displayName = "TableRow"; + +export const TableHead = React.forwardRef< + HTMLTableCellElement, + React.ThHTMLAttributes +>(({ ...props }, ref) => ( + +)); +TableHead.displayName = "TableHead"; + +export const TableCell = React.forwardRef< + HTMLTableCellElement, + React.TdHTMLAttributes +>(({ ...props }, ref) => ); +TableCell.displayName = "TableCell"; diff --git a/docs/docs.trychroma.com/components/posthog/posthog-pageview.tsx b/docs/docs.trychroma.com/components/posthog/posthog-pageview.tsx new file mode 100644 index 00000000000..fc7634d366b --- /dev/null +++ b/docs/docs.trychroma.com/components/posthog/posthog-pageview.tsx @@ -0,0 +1,34 @@ +"use client"; + +import { usePathname, useSearchParams } from "next/navigation"; +import React, { useEffect, Suspense } from "react"; +import { usePostHog } from "posthog-js/react"; + +export const PostHogPageView: React.FC = () => { + const pathname = usePathname(); + const searchParams = useSearchParams(); + const posthog = usePostHog(); + + useEffect(() => { + if (pathname && posthog) { + let url = window.origin + pathname; + if (searchParams.toString()) { + url = url + `?${searchParams.toString()}`; + } + + posthog.capture("$pageview", { $current_url: url }); + } + }, [pathname, searchParams, posthog]); + + return null; +}; + +const SuspendedPostHogPageView: React.FC = () => { + return ( + + + + ); +}; + +export default SuspendedPostHogPageView; diff --git a/docs/docs.trychroma.com/components/posthog/posthog-provider.tsx b/docs/docs.trychroma.com/components/posthog/posthog-provider.tsx new file mode 100644 index 00000000000..215e23bbdac --- /dev/null +++ b/docs/docs.trychroma.com/components/posthog/posthog-provider.tsx @@ -0,0 +1,27 @@ +"use client"; + +import posthog from "posthog-js"; +import { PostHogProvider as PHProvider } from "posthog-js/react"; +import React, { useEffect } from "react"; +import SuspendedPostHogPageView from "@/components/posthog/posthog-pageview"; + +const PostHogProvider: React.FC<{ children: React.ReactNode }> = ({ + children, +}) => { + useEffect(() => { + posthog.init(process.env.NEXT_PUBLIC_POSTHOG_KEY!, { + api_host: process.env.NEXT_PUBLIC_POSTHOG_HOST, + person_profiles: "identified_only", + capture_pageview: false, + }); + }, []); + + return ( + + + {children} + + ); +}; + +export default PostHogProvider; diff --git a/docs/docs.trychroma.com/components/sidebar/menu-item.tsx b/docs/docs.trychroma.com/components/sidebar/menu-item.tsx new file mode 100644 index 00000000000..174487a192d --- /dev/null +++ b/docs/docs.trychroma.com/components/sidebar/menu-item.tsx @@ -0,0 +1,42 @@ +import React from "react"; +import Link from "next/link"; +import { AppSection } from "@/lib/content"; + +const MenuItem: React.FC<{ section: AppSection; active: boolean }> = ({ + section, + active, +}) => { + const Icon = section.icon!; + + return ( + +
+
+ +
+

+ {section.name} +

+ {section.comingSoon && ( +
+ Coming Soon +
+ )} +
+ + ); +}; + +export default MenuItem; diff --git a/docs/docs.trychroma.com/components/sidebar/page-index.tsx b/docs/docs.trychroma.com/components/sidebar/page-index.tsx new file mode 100644 index 00000000000..9fd582eaa37 --- /dev/null +++ b/docs/docs.trychroma.com/components/sidebar/page-index.tsx @@ -0,0 +1,39 @@ +import React from "react"; +import { Playfair_Display } from "next/font/google"; +import PageLink from "@/components/sidebar/page-link"; + +const playfairDisplay = Playfair_Display({ + subsets: ["latin"], + display: "swap", + weight: "500", + variable: "--font-playfair-display", +}); + +const PageIndex: React.FC<{ + path: string; + pages: { id: string; name: string }[]; + name?: string; +}> = ({ path, pages, name }) => { + return ( +
+ {name && ( +

+ {name} +

+ )} +
+ {pages.map((page) => ( + + ))} +
+
+ ); +}; + +export default PageIndex; diff --git a/docs/docs.trychroma.com/components/sidebar/page-link.tsx b/docs/docs.trychroma.com/components/sidebar/page-link.tsx new file mode 100644 index 00000000000..26e23fdde7a --- /dev/null +++ b/docs/docs.trychroma.com/components/sidebar/page-link.tsx @@ -0,0 +1,30 @@ +"use client"; + +import React from "react"; +import Link from "next/link"; +import { usePathname, useSearchParams } from "next/navigation"; + +const PageLink: React.FC<{ + id: string; + name: string; + path: string; + sectionPage: boolean; +}> = ({ id, name, path, sectionPage = true }) => { + const pathName = usePathname(); + const searchParams = useSearchParams(); + const active = pathName === path; + const lang = searchParams.get("lang"); + + return ( +
+ +

{name}

+ +
+ ); +}; + +export default PageLink; diff --git a/docs/docs.trychroma.com/components/sidebar/scrollable-content.tsx b/docs/docs.trychroma.com/components/sidebar/scrollable-content.tsx new file mode 100644 index 00000000000..c556f97de9a --- /dev/null +++ b/docs/docs.trychroma.com/components/sidebar/scrollable-content.tsx @@ -0,0 +1,69 @@ +"use client"; + +import React, { useEffect, useRef } from "react"; +import { usePathname } from "next/navigation"; + +const ScrollableContent: React.FC<{ + pagesIndex: string[]; + children: React.ReactNode; +}> = ({ pagesIndex, children }) => { + const pathname = usePathname(); + const scrollRef = useRef(null); + + const handleScroll = () => { + if (scrollRef.current) { + sessionStorage.setItem( + "sidebarScrollPosition", + scrollRef.current.scrollTop.toString(), + ); + } + }; + + useEffect(() => { + const sectionScrollPosition = (userPath: string[]) => { + const userPage = userPath[userPath.length - 1]; + const currentPage = pagesIndex.find((p) => p === userPage); + if (!currentPage) return 0; + return pagesIndex.indexOf(currentPage) * 25; + }; + + if (!scrollRef.current) return; + + const userPath = pathname.slice(1).split("/"); + const section = userPath[0]; + + const storedScrollPosition = sessionStorage.getItem( + "sidebarScrollPosition", + ); + + const storedSection = sessionStorage.getItem("sidebarSection"); + + if (!storedSection) { + sessionStorage.setItem("sidebarSection", section); + } else if (storedSection !== section) { + sessionStorage.setItem("sidebarSection", section); + sessionStorage.removeItem("sidebarScrollPosition"); + } + + if (storedScrollPosition) { + scrollRef.current.scrollTop = parseInt(storedScrollPosition, 10); + } else { + scrollRef.current.scrollTop = sectionScrollPosition(userPath); + } + + const ref = scrollRef.current; + ref.addEventListener("scroll", handleScroll); + return () => ref.removeEventListener("scroll", handleScroll); + }, [pathname, pagesIndex]); + + return ( +
+
{children}
+
+ ); +}; + +export default ScrollableContent; diff --git a/docs/docs.trychroma.com/components/sidebar/sidebar.tsx b/docs/docs.trychroma.com/components/sidebar/sidebar.tsx new file mode 100644 index 00000000000..3e17910ef9d --- /dev/null +++ b/docs/docs.trychroma.com/components/sidebar/sidebar.tsx @@ -0,0 +1,91 @@ +import React from "react"; +import MenuItem from "@/components/sidebar/menu-item"; +import sidebarConfig from "@/markdoc/content/sidebar-config"; +import PageIndex from "@/components/sidebar/page-index"; +import path from "path"; +import fs from "fs"; +import matter from "gray-matter"; +import ScrollableContent from "./scrollable-content"; + +const generatePages = (slug: string[]): { id: string; name: string }[] => { + const dirPath = path.join(process.cwd(), "markdoc", "content", ...slug); + const files = fs.readdirSync(dirPath); + + const pages = []; + + for (const file of files) { + if (file.endsWith(".md")) { + const filePath = path.join(dirPath, file); + const content = fs.readFileSync(filePath, "utf-8"); + + const { data } = matter(content); + if (data.id && data.name) { + pages.push({ id: data.id, name: data.name }); + } + } + } + + return pages; +}; + +const Sidebar: React.FC<{ path: string[]; mobile?: boolean }> = ({ + path, + mobile, +}) => { + const currentSection = sidebarConfig.find((section) => + path.join("").startsWith(section.id), + ); + + if (!currentSection) { + return null; + } + + const allSectionPages: string[] = [ + ...(currentSection.pages || []).map((p) => p.id), + ]; + currentSection.subsections?.forEach((subsection) => { + allSectionPages.push(...(subsection.pages?.map((p) => p.id) || [])); + }); + + return ( +
+
+
+ {sidebarConfig.map((section) => ( + + ))} +
+ + {currentSection.pages && ( +
+ +
+ )} + {currentSection.subsections?.map((subsection) => ( + + ))} +
+
+
+ ); +}; + +export default Sidebar; diff --git a/docs/docs.trychroma.com/components/ui/badge.tsx b/docs/docs.trychroma.com/components/ui/badge.tsx new file mode 100644 index 00000000000..120c5b50248 --- /dev/null +++ b/docs/docs.trychroma.com/components/ui/badge.tsx @@ -0,0 +1,36 @@ +import * as React from "react" +import { cva, type VariantProps } from "class-variance-authority" + +import { cn } from "@/lib/utils" + +const badgeVariants = cva( + "inline-flex items-center rounded-md border border-zinc-200 px-2.5 py-0.5 text-xs font-semibold transition-colors focus:outline-none focus:ring-2 focus:ring-zinc-950 focus:ring-offset-2 dark:border-zinc-800 dark:focus:ring-zinc-300", + { + variants: { + variant: { + default: + "border-transparent bg-zinc-900 text-zinc-50 shadow hover:bg-zinc-900/80 dark:bg-zinc-50 dark:text-zinc-900 dark:hover:bg-zinc-50/80", + secondary: + "border-transparent bg-zinc-100 text-zinc-900 hover:bg-zinc-100/80 dark:bg-zinc-800 dark:text-zinc-50 dark:hover:bg-zinc-800/80", + destructive: + "border-transparent bg-red-500 text-zinc-50 shadow hover:bg-red-500/80 dark:bg-red-900 dark:text-zinc-50 dark:hover:bg-red-900/80", + outline: "text-zinc-950 dark:text-zinc-50", + }, + }, + defaultVariants: { + variant: "default", + }, + } +) + +export interface BadgeProps + extends React.HTMLAttributes, + VariantProps {} + +function Badge({ className, variant, ...props }: BadgeProps) { + return ( +
+ ) +} + +export { Badge, badgeVariants } diff --git a/docs/docs.trychroma.com/components/ui/button.tsx b/docs/docs.trychroma.com/components/ui/button.tsx index 9edf7584bec..763a3e71164 100644 --- a/docs/docs.trychroma.com/components/ui/button.tsx +++ b/docs/docs.trychroma.com/components/ui/button.tsx @@ -1,24 +1,25 @@ -import * as React from "react" -import { Slot } from "@radix-ui/react-slot" -import { cva, type VariantProps } from "class-variance-authority" +import * as React from "react"; +import { Slot } from "@radix-ui/react-slot"; +import { cva, type VariantProps } from "class-variance-authority"; -import { cn } from "../../lib/utils" +import { cn } from "@/lib/utils"; const buttonVariants = cva( - "inline-flex items-center justify-center whitespace-nowrap rounded-md text-sm font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50", + "inline-flex items-center justify-center whitespace-nowrap rounded-md text-sm font-medium transition-colors disabled:pointer-events-none disabled:opacity-50", { variants: { variant: { default: - "bg-primary text-primary-foreground shadow hover:bg-primary/90", + "bg-zinc-900 text-zinc-50 shadow hover:bg-zinc-900/90 dark:bg-zinc-50 dark:text-zinc-900 dark:hover:bg-zinc-50/90", destructive: - "bg-destructive text-destructive-foreground shadow-sm hover:bg-destructive/90", + "bg-red-500 text-zinc-50 shadow-sm hover:bg-red-500/90 dark:bg-red-900 dark:text-zinc-50 dark:hover:bg-red-900/90", outline: - "border border-input bg-background shadow-sm hover:bg-accent hover:text-accent-foreground", + "border border-zinc-200 bg-white shadow-sm hover:bg-zinc-100 hover:text-zinc-900 dark:border-zinc-800 dark:bg-zinc-950 dark:hover:bg-zinc-800 dark:hover:text-zinc-50", secondary: - "bg-secondary text-secondary-foreground shadow-sm hover:bg-secondary/80", - ghost: "hover:bg-accent hover:text-accent-foreground", - link: "text-primary underline-offset-4 hover:underline", + "bg-zinc-100 text-zinc-900 shadow-sm hover:bg-zinc-100/80 dark:bg-zinc-800 dark:text-zinc-50 dark:hover:bg-zinc-800/80", + ghost: + "hover:bg-zinc-100 hover:text-zinc-900 dark:hover:bg-zinc-800 dark:hover:text-zinc-50", + link: "text-zinc-900 underline-offset-4 hover:underline dark:text-zinc-50", }, size: { default: "h-9 px-4 py-2", @@ -31,27 +32,27 @@ const buttonVariants = cva( variant: "default", size: "default", }, - } -) + }, +); export interface ButtonProps extends React.ButtonHTMLAttributes, VariantProps { - asChild?: boolean + asChild?: boolean; } const Button = React.forwardRef( ({ className, variant, size, asChild = false, ...props }, ref) => { - const Comp = asChild ? Slot : "button" + const Comp = asChild ? Slot : "button"; return ( - ) - } -) -Button.displayName = "Button" + ); + }, +); +Button.displayName = "Button"; -export { Button, buttonVariants } +export { Button, buttonVariants }; diff --git a/docs/docs.trychroma.com/components/ui/drawer.tsx b/docs/docs.trychroma.com/components/ui/drawer.tsx new file mode 100644 index 00000000000..547e4ac1427 --- /dev/null +++ b/docs/docs.trychroma.com/components/ui/drawer.tsx @@ -0,0 +1,118 @@ +"use client" + +import * as React from "react" +import { Drawer as DrawerPrimitive } from "vaul" + +import { cn } from "@/lib/utils" + +const Drawer = ({ + shouldScaleBackground = true, + ...props +}: React.ComponentProps) => ( + +) +Drawer.displayName = "Drawer" + +const DrawerTrigger = DrawerPrimitive.Trigger + +const DrawerPortal = DrawerPrimitive.Portal + +const DrawerClose = DrawerPrimitive.Close + +const DrawerOverlay = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)) +DrawerOverlay.displayName = DrawerPrimitive.Overlay.displayName + +const DrawerContent = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, children, ...props }, ref) => ( + + + +
+ {children} + + +)) +DrawerContent.displayName = "DrawerContent" + +const DrawerHeader = ({ + className, + ...props +}: React.HTMLAttributes) => ( +
+) +DrawerHeader.displayName = "DrawerHeader" + +const DrawerFooter = ({ + className, + ...props +}: React.HTMLAttributes) => ( +
+) +DrawerFooter.displayName = "DrawerFooter" + +const DrawerTitle = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)) +DrawerTitle.displayName = DrawerPrimitive.Title.displayName + +const DrawerDescription = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)) +DrawerDescription.displayName = DrawerPrimitive.Description.displayName + +export { + Drawer, + DrawerPortal, + DrawerOverlay, + DrawerTrigger, + DrawerClose, + DrawerContent, + DrawerHeader, + DrawerFooter, + DrawerTitle, + DrawerDescription, +} diff --git a/docs/docs.trychroma.com/components/ui/dropdown-menu.tsx b/docs/docs.trychroma.com/components/ui/dropdown-menu.tsx index 6d2e5f42de2..5f8a8549b25 100644 --- a/docs/docs.trychroma.com/components/ui/dropdown-menu.tsx +++ b/docs/docs.trychroma.com/components/ui/dropdown-menu.tsx @@ -1,3 +1,5 @@ +"use client" + import * as React from "react" import * as DropdownMenuPrimitive from "@radix-ui/react-dropdown-menu" import { @@ -6,7 +8,7 @@ import { DotFilledIcon, } from "@radix-ui/react-icons" -import { cn } from "../../lib/utils" +import { cn } from "@/lib/utils" const DropdownMenu = DropdownMenuPrimitive.Root @@ -29,7 +31,7 @@ const DropdownMenuSubTrigger = React.forwardRef< (({ className, ...props }, ref) => ( )) diff --git a/docs/docs.trychroma.com/components/ui/table.tsx b/docs/docs.trychroma.com/components/ui/table.tsx new file mode 100644 index 00000000000..db149d84966 --- /dev/null +++ b/docs/docs.trychroma.com/components/ui/table.tsx @@ -0,0 +1,120 @@ +import * as React from "react"; + +import { cn } from "@/lib/utils"; + +const Table = React.forwardRef< + HTMLTableElement, + React.HTMLAttributes +>(({ className, ...props }, ref) => ( +
+ + +)); +Table.displayName = "Table"; + +const TableHeader = React.forwardRef< + HTMLTableSectionElement, + React.HTMLAttributes +>(({ className, ...props }, ref) => ( + +)); +TableHeader.displayName = "TableHeader"; + +const TableBody = React.forwardRef< + HTMLTableSectionElement, + React.HTMLAttributes +>(({ className, ...props }, ref) => ( + +)); +TableBody.displayName = "TableBody"; + +const TableFooter = React.forwardRef< + HTMLTableSectionElement, + React.HTMLAttributes +>(({ className, ...props }, ref) => ( + tr]:last:border-b-0 dark:bg-zinc-800/50", + className, + )} + {...props} + /> +)); +TableFooter.displayName = "TableFooter"; + +const TableRow = React.forwardRef< + HTMLTableRowElement, + React.HTMLAttributes +>(({ className, ...props }, ref) => ( + +)); +TableRow.displayName = "TableRow"; + +const TableHead = React.forwardRef< + HTMLTableCellElement, + React.ThHTMLAttributes +>(({ className, ...props }, ref) => ( + +x_w@ZxS6^Tkf2N&FBc)#Zrc3zub-@~qme~W+eoGg 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[role=checkbox]]:translate-y-[2px] dark:text-zinc-400", + className, + )} + {...props} + /> +)); +TableHead.displayName = "TableHead"; + +const TableCell = React.forwardRef< + HTMLTableCellElement, + React.TdHTMLAttributes +>(({ className, ...props }, ref) => ( + [role=checkbox]]:translate-y-[2px]", + className, + )} + {...props} + /> +)); +TableCell.displayName = "TableCell"; + +const TableCaption = React.forwardRef< + HTMLTableCaptionElement, + React.HTMLAttributes +>(({ className, ...props }, ref) => ( +
+)); +TableCaption.displayName = "TableCaption"; + +export { + Table, + TableHeader, + TableBody, + TableFooter, + TableHead, + TableRow, + TableCell, + TableCaption, +}; diff --git a/docs/docs.trychroma.com/components/ui/tabs.tsx b/docs/docs.trychroma.com/components/ui/tabs.tsx index cf2e2ecf2f1..81b23d92b71 100644 --- a/docs/docs.trychroma.com/components/ui/tabs.tsx +++ b/docs/docs.trychroma.com/components/ui/tabs.tsx @@ -1,9 +1,9 @@ -import * as React from "react" -import * as TabsPrimitive from "@radix-ui/react-tabs" +import * as React from "react"; +import * as TabsPrimitive from "@radix-ui/react-tabs"; -import { cn } from "../../lib/utils" +import { cn } from "@/lib/utils"; -const Tabs = TabsPrimitive.Root +const Tabs = TabsPrimitive.Root; const TabsList = React.forwardRef< React.ElementRef, @@ -12,13 +12,13 @@ const TabsList = React.forwardRef< -)) -TabsList.displayName = TabsPrimitive.List.displayName +)); +TabsList.displayName = TabsPrimitive.List.displayName; const TabsTrigger = React.forwardRef< React.ElementRef, @@ -27,13 +27,13 @@ const TabsTrigger = React.forwardRef< -)) -TabsTrigger.displayName = TabsPrimitive.Trigger.displayName +)); +TabsTrigger.displayName = TabsPrimitive.Trigger.displayName; const TabsContent = React.forwardRef< React.ElementRef, @@ -42,12 +42,12 @@ const TabsContent = React.forwardRef< -)) -TabsContent.displayName = TabsPrimitive.Content.displayName +)); +TabsContent.displayName = TabsPrimitive.Content.displayName; -export { Tabs, TabsList, TabsTrigger, TabsContent } +export { Tabs, TabsList, TabsTrigger, TabsContent }; diff --git a/docs/docs.trychroma.com/components/ui/theme-provider.tsx b/docs/docs.trychroma.com/components/ui/theme-provider.tsx new file mode 100644 index 00000000000..7384b25e967 --- /dev/null +++ b/docs/docs.trychroma.com/components/ui/theme-provider.tsx @@ -0,0 +1,11 @@ +"use client"; + +import * as React from "react"; +import { ThemeProvider as NextThemesProvider } from "next-themes"; +import { type ThemeProviderProps } from "next-themes/dist/types"; + +const ThemeProvider = ({ children, ...props }: ThemeProviderProps) => { + return {children}; +}; + +export default ThemeProvider; diff --git a/docs/docs.trychroma.com/components/ui/toast.tsx b/docs/docs.trychroma.com/components/ui/toast.tsx deleted file mode 100644 index 673bb64d257..00000000000 --- a/docs/docs.trychroma.com/components/ui/toast.tsx +++ /dev/null @@ -1,127 +0,0 @@ -import * as React from "react" -import { Cross2Icon } from "@radix-ui/react-icons" -import * as ToastPrimitives from "@radix-ui/react-toast" -import { cva, type VariantProps } from "class-variance-authority" - -import { cn } from "../../lib/utils" - -const ToastProvider = ToastPrimitives.Provider - -const ToastViewport = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef ->(({ className, ...props }, ref) => ( - -)) -ToastViewport.displayName = ToastPrimitives.Viewport.displayName - -const toastVariants = cva( - "group pointer-events-auto relative flex w-full items-center justify-between space-x-2 overflow-hidden rounded-md border p-4 pr-6 shadow-lg transition-all data-[swipe=cancel]:translate-x-0 data-[swipe=end]:translate-x-[var(--radix-toast-swipe-end-x)] data-[swipe=move]:translate-x-[var(--radix-toast-swipe-move-x)] data-[swipe=move]:transition-none data-[state=open]:animate-in data-[state=closed]:animate-out data-[swipe=end]:animate-out data-[state=closed]:fade-out-80 data-[state=closed]:slide-out-to-right-full data-[state=open]:slide-in-from-top-full data-[state=open]:sm:slide-in-from-bottom-full", - { - variants: { - variant: { - default: "border bg-background text-foreground", - destructive: - "destructive group border-destructive bg-destructive text-destructive-foreground", - }, - }, - defaultVariants: { - variant: "default", - }, - } -) - -const Toast = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef & - VariantProps ->(({ className, variant, ...props }, ref) => { - return ( - - ) -}) -Toast.displayName = ToastPrimitives.Root.displayName - -const ToastAction = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef ->(({ className, ...props }, ref) => ( - -)) -ToastAction.displayName = ToastPrimitives.Action.displayName - -const ToastClose = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef ->(({ className, ...props }, ref) => ( - - - -)) -ToastClose.displayName = ToastPrimitives.Close.displayName - -const ToastTitle = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef ->(({ className, ...props }, ref) => ( - -)) -ToastTitle.displayName = ToastPrimitives.Title.displayName - -const ToastDescription = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef ->(({ className, ...props }, ref) => ( - -)) -ToastDescription.displayName = ToastPrimitives.Description.displayName - -type ToastProps = React.ComponentPropsWithoutRef - -type ToastActionElement = React.ReactElement - -export { - type ToastProps, - type ToastActionElement, - ToastProvider, - ToastViewport, - Toast, - ToastTitle, - ToastDescription, - ToastClose, - ToastAction, -} diff --git a/docs/docs.trychroma.com/components/ui/toaster.tsx b/docs/docs.trychroma.com/components/ui/toaster.tsx deleted file mode 100644 index 88627292b4a..00000000000 --- a/docs/docs.trychroma.com/components/ui/toaster.tsx +++ /dev/null @@ -1,33 +0,0 @@ -import { - Toast, - ToastClose, - ToastDescription, - ToastProvider, - ToastTitle, - ToastViewport, -} from "./toast" -import { useToast } from "./use-toast" - -export function Toaster() { - const { toasts } = useToast() - - return ( - - {toasts.map(function ({ id, title, description, action, ...props }) { - return ( - -
- {title && {title}} - {description && ( - {description} - )} -
- {action} - -
- ) - })} - -
- ) -} diff --git a/docs/docs.trychroma.com/components/ui/tooltip.tsx b/docs/docs.trychroma.com/components/ui/tooltip.tsx index 4bc5e2f0cd2..ab18090b8a4 100644 --- a/docs/docs.trychroma.com/components/ui/tooltip.tsx +++ b/docs/docs.trychroma.com/components/ui/tooltip.tsx @@ -1,7 +1,9 @@ +"use client" + import * as React from "react" import * as TooltipPrimitive from "@radix-ui/react-tooltip" -import { cn } from "../../lib/utils" +import { cn } from "@/lib/utils" const TooltipProvider = TooltipPrimitive.Provider @@ -13,15 +15,17 @@ const TooltipContent = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef >(({ className, sideOffset = 4, ...props }, ref) => ( - + + + )) TooltipContent.displayName = TooltipPrimitive.Content.displayName diff --git a/docs/docs.trychroma.com/components/ui/ui-button.tsx b/docs/docs.trychroma.com/components/ui/ui-button.tsx new file mode 100644 index 00000000000..118a7c05c91 --- /dev/null +++ b/docs/docs.trychroma.com/components/ui/ui-button.tsx @@ -0,0 +1,37 @@ +import React from "react"; +import { Button, buttonVariants } from "@/components/ui/button"; +import { cn } from "@/lib/utils"; +import { VariantProps } from "class-variance-authority"; + +interface UIButtonProps + extends React.ButtonHTMLAttributes, + VariantProps { + children?: React.ReactNode; + asChild?: boolean; +} + +const UIButton = React.forwardRef( + ({ children, className, variant, size, ...props }, ref) => { + const customStyles = cn( + "flex items-center justify-center border-x-[0.9px] border-y-[1px] shadow outline-none h-full rounded py-[0.2rem]", + "text-[#27201C] bg-gradient-to-b from-[#FFFFFF] to-[#f9f9f9] border-[#171716]/40 hover:bg-gradient-to-b hover:from-gray-100 hover:to-gray-100", + "dark:text-[#fff] dark:bg-gradient-to-b dark:from-[#171716] dark:to-[#171716] border-[0.8px] dark:border-[#fff]/40 dark:hover:from-[#171716]/90 dark:hover:to-[#171716]/90", + className, + ); + + return ( + + ); + }, +); +UIButton.displayName = "UIButton"; + +export default UIButton; diff --git a/docs/docs.trychroma.com/components/ui/use-toast.ts b/docs/docs.trychroma.com/components/ui/use-toast.ts deleted file mode 100644 index 36c572bcfb2..00000000000 --- a/docs/docs.trychroma.com/components/ui/use-toast.ts +++ /dev/null @@ -1,192 +0,0 @@ -// Inspired by react-hot-toast library -import * as React from "react" - -import type { - ToastActionElement, - ToastProps, -} from "./toast" - -const TOAST_LIMIT = 1 -const TOAST_REMOVE_DELAY = 1000000 - -type ToasterToast = ToastProps & { - id: string - title?: React.ReactNode - description?: React.ReactNode - action?: ToastActionElement -} - -const actionTypes = { - ADD_TOAST: "ADD_TOAST", - UPDATE_TOAST: "UPDATE_TOAST", - DISMISS_TOAST: "DISMISS_TOAST", - REMOVE_TOAST: "REMOVE_TOAST", -} as const - -let count = 0 - -function genId() { - count = (count + 1) % Number.MAX_SAFE_INTEGER - return count.toString() -} - -type ActionType = typeof actionTypes - -type Action = - | { - type: ActionType["ADD_TOAST"] - toast: ToasterToast - } - | { - type: ActionType["UPDATE_TOAST"] - toast: Partial - } - | { - type: ActionType["DISMISS_TOAST"] - toastId?: ToasterToast["id"] - } - | { - type: ActionType["REMOVE_TOAST"] - toastId?: ToasterToast["id"] - } - -interface State { - toasts: ToasterToast[] -} - -const toastTimeouts = new Map>() - -const addToRemoveQueue = (toastId: string) => { - if (toastTimeouts.has(toastId)) { - return - } - - const timeout = setTimeout(() => { - toastTimeouts.delete(toastId) - dispatch({ - type: "REMOVE_TOAST", - toastId: toastId, - }) - }, TOAST_REMOVE_DELAY) - - toastTimeouts.set(toastId, timeout) -} - -export const reducer = (state: State, action: Action): State => { - switch (action.type) { - case "ADD_TOAST": - return { - ...state, - toasts: [action.toast, ...state.toasts].slice(0, TOAST_LIMIT), - } - - case "UPDATE_TOAST": - return { - ...state, - toasts: state.toasts.map((t) => - t.id === action.toast.id ? { ...t, ...action.toast } : t - ), - } - - case "DISMISS_TOAST": { - const { toastId } = action - - // ! Side effects ! - This could be extracted into a dismissToast() action, - // but I'll keep it here for simplicity - if (toastId) { - addToRemoveQueue(toastId) - } else { - state.toasts.forEach((toast) => { - addToRemoveQueue(toast.id) - }) - } - - return { - ...state, - toasts: state.toasts.map((t) => - t.id === toastId || toastId === undefined - ? { - ...t, - open: false, - } - : t - ), - } - } - case "REMOVE_TOAST": - if (action.toastId === undefined) { - return { - ...state, - toasts: [], - } - } - return { - ...state, - toasts: state.toasts.filter((t) => t.id !== action.toastId), - } - } -} - -const listeners: Array<(state: State) => void> = [] - -let memoryState: State = { toasts: [] } - -function dispatch(action: Action) { - memoryState = reducer(memoryState, action) - listeners.forEach((listener) => { - listener(memoryState) - }) -} - -type Toast = Omit - -function toast({ ...props }: Toast) { - const id = genId() - - const update = (props: ToasterToast) => - dispatch({ - type: "UPDATE_TOAST", - toast: { ...props, id }, - }) - const dismiss = () => dispatch({ type: "DISMISS_TOAST", toastId: id }) - - dispatch({ - type: "ADD_TOAST", - toast: { - ...props, - id, - open: true, - onOpenChange: (open) => { - if (!open) dismiss() - }, - }, - }) - - return { - id: id, - dismiss, - update, - } -} - -function useToast() { - const [state, setState] = React.useState(memoryState) - - React.useEffect(() => { - listeners.push(setState) - return () => { - const index = listeners.indexOf(setState) - if (index > -1) { - listeners.splice(index, 1) - } - } - }, [state]) - - return { - ...state, - toast, - dismiss: (toastId?: string) => dispatch({ type: "DISMISS_TOAST", toastId }), - } -} - -export { useToast, toast } diff --git a/docs/docs.trychroma.com/context/app-context.tsx b/docs/docs.trychroma.com/context/app-context.tsx new file mode 100644 index 00000000000..af5b9b9be91 --- /dev/null +++ b/docs/docs.trychroma.com/context/app-context.tsx @@ -0,0 +1,45 @@ +import React, { + createContext, + useState, + ReactNode, + useContext, + useEffect, +} from "react"; +import { usePathname, useRouter, useSearchParams } from "next/navigation"; + +export interface AppContextValue { + language: string; + setLanguage: (language: string) => void; +} + +const AppContextDefaultValue: AppContextValue = { + language: "python", + setLanguage: () => {}, +}; + +const AppContext = createContext(AppContextDefaultValue); + +export const AppContextProvider = ({ children }: { children: ReactNode }) => { + const searchParams = useSearchParams(); + const [language, setLanguage] = useState( + searchParams.get("lang") || "python", + ); + const router = useRouter(); + const pathname = usePathname(); + + useEffect(() => { + if (language === "typescript") { + router.replace(`${pathname}?lang=typescript`); + } else { + router.replace(pathname); + } + }, [language]); + + return ( + + {children} + + ); +}; + +export default AppContext; diff --git a/docs/docs.trychroma.com/lib/content.ts b/docs/docs.trychroma.com/lib/content.ts new file mode 100644 index 00000000000..62291aaedd8 --- /dev/null +++ b/docs/docs.trychroma.com/lib/content.ts @@ -0,0 +1,73 @@ +import { LucideIcon } from "lucide-react"; + +export interface AppPage { + id: string; + name: string; + slug?: string; + path?: string; +} + +export interface AppSection { + id: string; + name: string; + default?: string; + icon?: LucideIcon; + pages?: AppPage[]; + generatePages?: boolean; + subsections?: AppSection[]; + comingSoon?: boolean; +} + +export const getAllPages = (sidebarConfig: AppSection[], sectionId: string) => { + const section = sidebarConfig.find((section) => section.id === sectionId); + if (!section) { + return []; + } + + const pages: { id: string; name: string; slug: string }[] = []; + + pages.push( + ...(section.pages?.map((page) => { + return { + ...page, + slug: `${section.id}/${page.id}`, + path: `./${page.slug}`, + }; + }) || []), + ); + + section.subsections?.forEach((subsection) => { + pages.push( + ...(subsection.pages?.map((page) => { + return { + ...page, + slug: `${section.id}/${subsection.id}/${page.id}`, + path: `../${subsection.id}/${page.id}`, + }; + }) || []), + ); + }); + + return pages; +}; + +export const getPagePrevNext = ( + slug: string[], + pages: AppPage[], +): { + prev?: AppPage; + next?: AppPage; +} => { + const page = slug.join("/"); + const pageIndex = pages.map((page) => page.slug).indexOf(page); + if (pageIndex === -1) { + return { prev: undefined, next: undefined }; + } + if (pageIndex === pages.length - 1) { + return { prev: pages[pageIndex - 1], next: undefined }; + } + if (pageIndex === 0) { + return { prev: undefined, next: pages[pageIndex + 1] }; + } + return { prev: pages[pageIndex - 1], next: pages[pageIndex + 1] }; +}; diff --git a/docs/docs.trychroma.com/lib/utils.ts b/docs/docs.trychroma.com/lib/utils.ts index d084ccade0d..5ef0403a1f9 100644 --- a/docs/docs.trychroma.com/lib/utils.ts +++ b/docs/docs.trychroma.com/lib/utils.ts @@ -1,6 +1,14 @@ -import { type ClassValue, clsx } from "clsx" -import { twMerge } from "tailwind-merge" +import { type ClassValue, clsx } from "clsx"; +import { twMerge } from "tailwind-merge"; -export function cn(...inputs: ClassValue[]) { - return twMerge(clsx(inputs)) -} +export const cn = (...inputs: ClassValue[]) => { + return twMerge(clsx(inputs)); +}; + +export const formatToK = (num: number) => { + return `${Math.round(num / 1000)}k`; +}; + +export const capitalize = (str: string) => { + return `${str.charAt(0).toUpperCase()}${str.slice(1)}`; +}; diff --git a/docs/docs.trychroma.com/markdoc/config.ts b/docs/docs.trychroma.com/markdoc/config.ts new file mode 100644 index 00000000000..acc0398b83a --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/config.ts @@ -0,0 +1,134 @@ +import type { Config } from "@markdoc/markdoc"; +import React from "react"; +import InlineCode from "@/components/markdoc/inline-code"; +import CodeBlock from "@/components/markdoc/code-block"; +import TabbedUseCaseCodeBlock from "@/components/markdoc/tabbed-use-case-code-block"; +import Tab, { MarkdocTabs } from "@/components/markdoc/markdoc-tabs"; +import { + Table, + TableHeader, + TableBody, + TableRow, + TableHead, + TableCell, +} from "@/components/markdoc/table"; +import TabbedCodeBlock from "@/components/markdoc/tabbed-code-block"; +import CenteredContent from "@/components/markdoc/centered-content"; +import Latex from "@/components/markdoc/latex"; +import Banner from "@/components/markdoc/banner"; +import Heading from "@/components/markdoc/markdoc-heading"; + +interface MarkDocConfig extends Config { + components?: Record>; +} + +const markdocConfig: MarkDocConfig = { + nodes: { + code: { + render: "InlineCode", + attributes: { + content: { type: String }, + }, + }, + fence: { + render: "CodeBlock", + attributes: { + content: { type: String }, + language: { type: String }, + }, + }, + table: { + render: "Table", + }, + thead: { + render: "TableHeader", + }, + tbody: { + render: "TableBody", + }, + tr: { + render: "TableRow", + }, + th: { + render: "TableHead", + }, + td: { + render: "TableCell", + }, + heading: { + render: "Heading", + attributes: { + level: { type: "Number", required: true }, + id: { type: "String", required: false }, + }, + }, + }, + tags: { + TabbedCodeBlock: { + render: "TabbedCodeBlock", + selfClosing: true, + }, + TabbedUseCaseCodeBlock: { + render: "TabbedUseCaseCodeBlock", + selfClosing: false, + attributes: { + language: { + type: String, + required: true, + }, + }, + }, + Tab: { + render: "Tab", + selfClosing: false, + attributes: { + label: { + type: String, + required: true, + }, + }, + }, + Tabs: { + render: "Tabs", + selfClosing: false, + }, + CenteredContent: { + render: "CenteredContent", + selfClosing: false, + }, + Banner: { + render: "Banner", + attributes: { + type: { + type: String, + required: true, + }, + }, + selfClosing: false, + }, + Latex: { + render: "Latex", + selfClosing: false, + }, + }, + components: { + InlineCode, + CodeBlock, + TabbedCodeBlock, + TabbedUseCaseCodeBlock, + Tab, + Tabs: MarkdocTabs, + Table, + TableHeader, + TableBody, + TableRow, + TableHead, + TableCell, + CenteredContent, + Banner, + Latex, + Heading, + }, +}; + +export default markdocConfig; diff --git a/docs/docs.trychroma.com/markdoc/content/cli/install-and-run.md b/docs/docs.trychroma.com/markdoc/content/cli/install-and-run.md new file mode 100644 index 00000000000..40def5552b5 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/cli/install-and-run.md @@ -0,0 +1,38 @@ +# Install and Run + +You can install the Chroma CLI with `pip`: + +```terminal +pip install chromadb +``` + +You can then run a Chroma server locally with the `chroma run` command: + +```terminal +chroma run --path [/path/to/persist/data] +``` + +Your Chroma server will persist its data in the path you provide after the `path` argument. By default, +it will save data to the `.chroma` directory. + +With your Chroma server running, you can connect to it with the `HttpClient`: + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +import chromadb + +chroma_client = chromadb.HttpClient(host='localhost', port=8000) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +import { ChromaClient } from "chromadb"; + +const client = new ChromaClient(); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} diff --git a/docs/docs.trychroma.com/markdoc/content/cli/vacuum.md b/docs/docs.trychroma.com/markdoc/content/cli/vacuum.md new file mode 100644 index 00000000000..42459263e2a --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/cli/vacuum.md @@ -0,0 +1,17 @@ +# Vacuuming + +Vacuuming shrinks and optimizes your database. + +Vacuuming after upgrading from a version of Chroma below v0.5.6 will greatly reduce the size of your database and enable continuous database pruning. A warning is logged during server startup if this is necessary. + +In most other cases, vacuuming is unnecessary. **It does not need to be run regularly**. + +Vacuuming blocks all reads and writes to your database while it's running, so we recommend shutting down your Chroma server before vacuuming (although it's not strictly required). + +To vacuum your database, run: + +```bash +chroma utils vacuum --path +``` + +For large databases, expect this to take up to a few minutes. \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/docs/collections/add-data.md b/docs/docs.trychroma.com/markdoc/content/docs/collections/add-data.md new file mode 100644 index 00000000000..9c930275509 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/collections/add-data.md @@ -0,0 +1,89 @@ +# Adding Data to Chroma Collections + +Add data to Chroma with `.add`. + +Raw documents: + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.add( + documents=["lorem ipsum...", "doc2", "doc3", ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + ids=["id1", "id2", "id3", ...] +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.add({ + ids: ["id1", "id2", "id3", ...], + metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents: ["lorem ipsum...", "doc2", "doc3", ...], +}); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +If Chroma is passed a list of `documents`, it will automatically tokenize and embed them with the collection's embedding function (the default will be used if none was supplied at collection creation). Chroma will also store the `documents` themselves. If the documents are too large to embed using the chosen embedding function, an exception will be raised. + +Each document must have a unique associated `id`. Trying to `.add` the same ID twice will result in only the initial value being stored. An optional list of `metadata` dictionaries can be supplied for each document, to store additional information and enable filtering. + +Alternatively, you can supply a list of document-associated `embeddings` directly, and Chroma will store the associated documents without embedding them itself. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.add( + documents=["doc1", "doc2", "doc3", ...], + embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + ids=["id1", "id2", "id3", ...] +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.add({ + ids: ["id1", "id2", "id3", ...], + embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents: ["lorem ipsum...", "doc2", "doc3", ...], +}) +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +If the supplied `embeddings` are not the same dimension as the collection, an exception will be raised. + +You can also store documents elsewhere, and just supply a list of `embeddings` and `metadata` to Chroma. You can use the `ids` to associate the embeddings with your documents stored elsewhere. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.add( + embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + ids=["id1", "id2", "id3", ...] +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.add({ + ids: ["id1", "id2", "id3", ...], + embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], +}) +``` +{% /Tab %} + +{% /TabbedCodeBlock %} diff --git a/docs/docs.trychroma.com/markdoc/content/docs/collections/configure.md b/docs/docs.trychroma.com/markdoc/content/docs/collections/configure.md new file mode 100644 index 00000000000..8bc7fbe85bc --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/collections/configure.md @@ -0,0 +1,50 @@ +# Configuring Chroma Collections + +You can configure the embedding space of a collection by setting special keys on a collection's metadata. These configurations will help you customize your Chroma collections for different data, accuracy and performance requirements. + +* `hnsw:space` defines the distance function of the embedding space. The default is `l2` (squared L2 norm), and other possible values are `cosine` (cosine similarity), and `ip` (inner product). + +| Distance | parameter | Equation | +| ----------------- | :-------: |-----------------------------------------------------------------------------------------------------------------------------------------------------------:| +| Squared L2 | `l2` | {% Latex %} d = \\sum\\left(A_i-B_i\\right)^2 {% /Latex %} | +| Inner product | `ip` | {% Latex %} d = 1.0 - \\sum\\left(A_i \\times B_i\\right) {% /Latex %} | +| Cosine similarity | `cosine` | {% Latex %} d = 1.0 - \\frac{\\sum\\left(A_i \\times B_i\\right)}{\\sqrt{\\sum\\left(A_i^2\\right)} \\cdot \\sqrt{\\sum\\left(B_i^2\\right)}} {% /Latex %} | + +* `hnsw:ef_construction` determines the size of the candidate list used to select neighbors during index creation. A higher value improves index quality at the cost of more memory and time, while a lower value speeds up construction with reduced accuracy. The default value is `100`. +* `hnsw:ef_search` determines the size of the dynamic candidate list used while searching for the nearest neighbors. A higher value improves recall and accuracy by exploring more potential neighbors but increases query time and computational cost, while a lower value results in faster but less accurate searches. The default value is `10`. +* `hnsw:M` is the maximum number of neighbors (connections) that each node in the graph can have during the construction of the index. A higher value results in a denser graph, leading to better recall and accuracy during searches but increases memory usage and construction time. A lower value creates a sparser graph, reducing memory usage and construction time but at the cost of lower search accuracy and recall. The default value is `16`. +* `hnsw:num_threads` specifies the number of threads to use during index construction or search operations. The default value is `multiprocessing.cpu_count()` (available CPU cores). + +Here is an example of how you can create a collection and configure it with custom HNSW settings: + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection = client.create_collection( + name="my_collection", + embedding_function=emb_fn, + metadata={ + "hnsw:space": "cosine", + "hnsw:ef_search": 100 + } +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +let collection = await client.createCollection({ + name: "my_collection", + embeddingFunction: emb_fn, + metadata: { + "hnsw:space": "cosine", + "hnsw:ef_search": 100 + } +}); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +You can learn more in our [Embeddings section](../embeddings/embedding-functions). \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/docs/collections/create-get-delete.md b/docs/docs.trychroma.com/markdoc/content/docs/collections/create-get-delete.md new file mode 100644 index 00000000000..7930f437a89 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/collections/create-get-delete.md @@ -0,0 +1,123 @@ +# Create, Get, and Delete Chroma Collections + +Chroma lets you manage collections of embeddings, using the `collection` primitive. + +Chroma uses collection names in the url, so there are a few restrictions on naming them: + +- The length of the name must be between 3 and 63 characters. +- The name must start and end with a lowercase letter or a digit, and it can contain dots, dashes, and underscores in between. +- The name must not contain two consecutive dots. +- The name must not be a valid IP address. + +Chroma collections are created with a name and an optional embedding function. + +{% Banner type="note" %} +If you supply an embedding function, you must supply it every time you get the collection. +{% /Banner %} + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection = client.create_collection(name="my_collection", embedding_function=emb_fn) +collection = client.get_collection(name="my_collection", embedding_function=emb_fn) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +let collection = await client.createCollection({ + name: "my_collection", + embeddingFunction: emb_fn, +}); + +collection = await client.getCollection({ + name: "my_collection", + embeddingFunction: emb_fn, +}); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +The embedding function takes text as input and embeds it. If no embedding function is supplied, Chroma will use [sentence transformer](https://www.sbert.net/index.html) as a default. You can learn more about [embedding functions](../embeddings/embedding-functions), and how to create your own. + +When creating collections, you can pass the optional `metadata` argument to add a mapping of metadata key-value pairs to your collections. This can be useful for adding general about the collection like creation time, description of the data stored in the collection, and more. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +from datetime import datetime + +collection = client.create_collection( + name="my_collection", + embedding_function=emb_fn, + metadata={ + "description": "my first Chroma collection", + "created": str(datetime.now()) + } +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +let collection = await client.createCollection({ + name: "my_collection", + embeddingFunction: emb_fn, + metadata: { + description: "my first Chroma collection", + created: (new Date()).toString() + } +}); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +The collection metadata is also used to configure the embedding space of a collection. Learn more about it in [Configuring Chroma Collections](./configure). + +The Chroma client allows you to get and delete existing collections by their name. It also offers a `get or create` method to get a collection if it exists, or create it otherwise. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection = client.get_collection(name="test") # Get a collection object from an existing collection, by name. Will raise an exception if it's not found. +collection = client.get_or_create_collection(name="test") # Get a collection object from an existing collection, by name. If it doesn't exist, create it. +client.delete_collection(name="my_collection") # Delete a collection and all associated embeddings, documents, and metadata. ⚠️ This is destructive and not reversible +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +const collection = await client.getCollection({ name: "test" }); // Get a collection object from an existing collection, by name. Will raise an exception of it's not found. +collection = await client.getOrCreateCollection({ name: "test" }); // Get a collection object from an existing collection, by name. If it doesn't exist, create it. +await client.deleteCollection(collection); // Delete a collection and all associated embeddings, documents, and metadata. ⚠️ This is destructive and not reversible +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +Collections have a few useful convenience methods. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.peek() # returns a list of the first 10 items in the collection +collection.count() # returns the number of items in the collection +collection.modify(name="new_name") # Rename the collection +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.peek(); // returns a list of the first 10 items in the collection +await collection.count(); // returns the number of items in the collection +await collection.modify({ name: "new_name" }) // Rename the collection +``` +{% /Tab %} + +{% /TabbedCodeBlock %} \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/docs/collections/delete-data.md b/docs/docs.trychroma.com/markdoc/content/docs/collections/delete-data.md new file mode 100644 index 00000000000..3844fb59ebf --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/collections/delete-data.md @@ -0,0 +1,31 @@ +# Deleting Data from Chroma Collections + +Chroma supports deleting items from a collection by `id` using `.delete`. The embeddings, documents, and metadata associated with each item will be deleted. + +{% Banner type="warn" %} +Naturally, this is a destructive operation, and cannot be undone. +{% /Banner %} + +`.delete` also supports the `where` filter. If no `ids` are supplied, it will delete all items in the collection that match the `where` filter. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.delete( + ids=["id1", "id2", "id3",...], + where={"chapter": "20"} +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.delete({ + ids: ["id1", "id2", "id3",...], //ids + where: {"chapter": "20"} //where +}) +``` +{% /Tab %} + +{% /TabbedCodeBlock %} \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/docs/collections/update-data.md b/docs/docs.trychroma.com/markdoc/content/docs/collections/update-data.md new file mode 100644 index 00000000000..905851142a8 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/collections/update-data.md @@ -0,0 +1,71 @@ +# Updating Data in Chroma Collections + +Any property of records in a collection can be updated with `.update`: + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.update( + ids=["id1", "id2", "id3", ...], + embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents=["doc1", "doc2", "doc3", ...], +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.update({ + ids: ["id1", "id2", "id3", ...], + embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents: ["doc1", "doc2", "doc3", ...] +}) +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +If an `id` is not found in the collection, an error will be logged and the update will be ignored. If `documents` are supplied without corresponding `embeddings`, the embeddings will be recomputed with the collection's embedding function. + +If the supplied `embeddings` are not the same dimension as the collection, an exception will be raised. + +Chroma also supports an `upsert` operation, which updates existing items, or adds them if they don't yet exist. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.upsert( + ids=["id1", "id2", "id3", ...], + embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents=["doc1", "doc2", "doc3", ...], +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.upsert({ + ids: ["id1", "id2", "id3"], + embeddings: [ + [1.1, 2.3, 3.2], + [4.5, 6.9, 4.4], + [1.1, 2.3, 3.2], + ], + metadatas: [ + { chapter: "3", verse: "16" }, + { chapter: "3", verse: "5" }, + { chapter: "29", verse: "11" }, + ], + documents: ["doc1", "doc2", "doc3"], +}); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +If an `id` is not present in the collection, the corresponding items will be created as per `add`. Items with existing `id`s will be updated as per `update`. \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/docs/embeddings/embedding-functions.md b/docs/docs.trychroma.com/markdoc/content/docs/embeddings/embedding-functions.md new file mode 100644 index 00000000000..7387f1f2556 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/embeddings/embedding-functions.md @@ -0,0 +1,125 @@ +# Embedding Functions + +Embeddings are the way to represent any kind of data, making them the perfect fit for working with all kinds of A.I-powered tools and algorithms. They can represent text, images, and soon audio and video. There are many options for creating embeddings, whether locally using an installed library, or by calling an API. + +Chroma provides lightweight wrappers around popular embedding providers, making it easy to use them in your apps. You can set an embedding function when you create a Chroma collection, which will be used automatically, or you can call them directly yourself. + +| | Python | Typescript | +|------------------------------------------------------------------------------------------|--------|------------| +| [OpenAI](../../integrations/embedding-models/openai) | ✓ | ✓ | +| [Google Generative AI](../../integrations/embedding-models/google-gemini) | ✓ | ✓ | +| [Cohere](../../integrations/embedding-models/cohere) | ✓ | ✓ | +| [Hugging Face](../../integrations/embedding-models/hugging-face) | ✓ | - | +| [Instructor](../../integrations/embedding-models/instructor) | ✓ | - | +| [Hugging Face Embedding Server](../../integrations/embedding-models/hugging-face-server) | ✓ | ✓ | +| [Jina AI](../../integrations/embedding-models/jinaai) | ✓ | ✓ | + +We welcome pull requests to add new Embedding Functions to the community. + +*** + +## Default: all-MiniLM-L6-v2 + +By default, Chroma uses the [Sentence Transformers](https://www.sbert.net/) `all-MiniLM-L6-v2` model to create embeddings. This embedding model can create sentence and document embeddings that can be used for a wide variety of tasks. This embedding function runs locally on your machine, and may require you download the model files (this will happen automatically). + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +from chromadb.utils import embedding_functions +default_ef = embedding_functions.DefaultEmbeddingFunction() +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +import { DefaultEmbeddingFunction } from "chromadb"; +const defaultEF = new DefaultEmbeddingFunction(); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +Embedding functions can be linked to a collection and used whenever you call `add`, `update`, `upsert` or `query`. You can also use them directly which can be handy for debugging. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +val = default_ef(["foo"]) +print(val) # [[0.05035809800028801, 0.0626462921500206, -0.061827320605516434...]] +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +const val = defaultEf.generate(["foo"]); +console.log(val); // [[0.05035809800028801, 0.0626462921500206, -0.061827320605516434...]] +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +## Sentence Transformers + +Chroma can also use any [Sentence Transformers](https://www.sbert.net/) model to create embeddings. + +You can pass in an optional `model_name` argument, which lets you choose which Sentence Transformers model to use. By default, Chroma uses `all-MiniLM-L6-v2`. You can see a list of all available models [here](https://www.sbert.net/docs/pretrained_models.html). + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +sentence_transformer_ef = embedding_functions.SentenceTransformerEmbeddingFunction( + model_name="all-MiniLM-L6-v2" +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +import { DefaultEmbeddingFunction } from "chromadb"; +const modelName = "all-MiniLM-L6-v2"; +const defaultEF = new DefaultEmbeddingFunction(modelName); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +## Custom Embedding Functions + +You can create your own embedding function to use with Chroma, it just needs to implement the `EmbeddingFunction` protocol. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +from chromadb import Documents, EmbeddingFunction, Embeddings + +class MyEmbeddingFunction(EmbeddingFunction): + def __call__(self, input: Documents) -> Embeddings: + # embed the documents somehow + return embeddings +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +class MyEmbeddingFunction { + private api_key: string; + + constructor(api_key: string) { + this.api_key = api_key; + } + + public async generate(texts: string[]): Promise { + // do things to turn texts into embeddings with an api_key perhaps + return embeddings; + } +} +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +We welcome contributions! If you create an embedding function that you think would be useful to others, please consider [submitting a pull request](https://github.com/chroma-core/chroma) to add it to Chroma's `embedding_functions` module. diff --git a/docs/docs.trychroma.com/markdoc/content/docs/embeddings/multimodal.md b/docs/docs.trychroma.com/markdoc/content/docs/embeddings/multimodal.md new file mode 100644 index 00000000000..1618e0aa04d --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/embeddings/multimodal.md @@ -0,0 +1,129 @@ +# Multimodal + +{% Banner type="note" %} +Multimodal support is currently available only in Python. Javascript/Typescript support coming soon! +{% /Banner %} + +Chroma supports multimodal collections, i.e. collections which can store, and can be queried by, multiple modalities of data. + +[Try it out in Colab](https://githubtocolab.com/chroma-core/chroma/blob/main/examples/multimodal/multimodal_retrieval.ipynb) + +## Multi-modal Embedding Functions + +Chroma supports multi-modal embedding functions, which can be used to embed data from multiple modalities into a single embedding space. + +Chroma has the OpenCLIP embedding function built in, which supports both text and images. + +```python +from chromadb.utils.embedding_functions import OpenCLIPEmbeddingFunction +embedding_function = OpenCLIPEmbeddingFunction() +``` + +## Data Loaders + +Chroma supports data loaders, for storing and querying with data stored outside Chroma itself, via URI. Chroma will not store this data, but will instead store the URI, and load the data from the URI when needed. + +Chroma has a data loader for loading images from a filesystem built in. + +```python +from chromadb.utils.data_loaders import ImageLoader +data_loader = ImageLoader() +``` + +## Multi-modal Collections + +You can create a multi-modal collection by passing in a multi-modal embedding function. In order to load data from a URI, you must also pass in a data loader. + +```python +import chromadb + +client = chromadb.Client() + +collection = client.create_collection( + name='multimodal_collection', + embedding_function=embedding_function, + data_loader=data_loader) + +``` + +### Adding data + +You can add data to a multi-modal collection by specifying the data modality. For now, images are supported: + +```python +collection.add( + ids=['id1', 'id2', 'id3'], + images=[...] # A list of numpy arrays representing images +) +``` + +Note that Chroma will not store the data for you, and you will have to maintain a mapping from IDs to data yourself. + +However, you can use Chroma in combination with data stored elsewhere, by adding it via URI. Note that this requires that you have specified a data loader when creating the collection. + +```python +collection.add( + ids=['id1', 'id2', 'id3'], + uris=[...] # A list of strings representing URIs to data +) +``` + +Since the embedding function is multi-modal, you can also add text to the same collection: + +```python +collection.add( + ids=['id4', 'id5', 'id6'], + documents=["This is a document", "This is another document", "This is a third document"] +) +``` + +### Querying + +You can query a multi-modal collection with any of the modalities that it supports. For example, you can query with images: + +```python +results = collection.query( + query_images=[...] # A list of numpy arrays representing images +) +``` + +Or with text: + +```python +results = collection.query( + query_texts=["This is a query document", "This is another query document"] +) +``` + +If a data loader is set for the collection, you can also query with URIs which reference data stored elsewhere of the supported modalities: + +```python +results = collection.query( + query_uris=[...] # A list of strings representing URIs to data +) +``` + +Additionally, if a data loader is set for the collection, and URIs are available, you can include the data in the results: + +```python +results = collection.query( + query_images=[...], # # list of numpy arrays representing images + includes=['data'] +) +``` + +This will automatically call the data loader for any available URIs, and include the data in the results. `uris` are also available as an `includes` field. + +### Updating + +You can update a multi-modal collection by specifying the data modality, in the same way as `add`. For now, images are supported: + +```python +collection.update( + ids=['id1', 'id2', 'id3'], + images=[...] # A list of numpy arrays representing images +) +``` + +Note that a given entry with a specific ID can only have one associated modality at a time. Updates will over-write the existing modality, so for example, an entry which originally has corresponding text and updated with an image, will no longer have that text after an update with images. + diff --git a/docs/docs.trychroma.com/markdoc/content/docs/guides/embeddings-guide.md b/docs/docs.trychroma.com/markdoc/content/docs/guides/embeddings-guide.md new file mode 100644 index 00000000000..5db0bcf7ddb --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/guides/embeddings-guide.md @@ -0,0 +1,123 @@ +--- +{ + "id": "embeddings-guide", + "title": "Embeddings", + "section": "Guides", + "order": 1 +} +--- + +# Embeddings + +Embeddings are the A.I-native way to represent any kind of data, making them the perfect fit for working with all kinds of A.I-powered tools and algorithms. They can represent text, images, and soon audio and video. There are many options for creating embeddings, whether locally using an installed library, or by calling an API. + +Chroma provides lightweight wrappers around popular embedding providers, making it easy to use them in your apps. You can set an embedding function when you create a Chroma collection, which will be used automatically, or you can call them directly yourself. + +{% special_table %} +{% /special_table %} + +| | Python | JS | +|--------------|-----------|---------------| +| [OpenAI](/integrations/openai) | ✅ | ✅ | +| [Google Generative AI](/integrations/google-gemini) | ✅ | ✅ | +| [Cohere](/integrations/cohere) | ✅ | ✅ | +| [Hugging Face](/integrations/hugging-face) | ✅ | ➖ | +| [Instructor](/integrations/instructor) | ✅ | ➖ | +| [Hugging Face Embedding Server](/integrations/hugging-face-server) | ✅ | ✅ | +| [Jina AI](/integrations/jinaai) | ✅ | ✅ | + +We welcome pull requests to add new Embedding Functions to the community. + +*** + +## Default: all-MiniLM-L6-v2 + +By default, Chroma uses the [Sentence Transformers](https://www.sbert.net/) `all-MiniLM-L6-v2` model to create embeddings. This embedding model can create sentence and document embeddings that can be used for a wide variety of tasks. This embedding function runs locally on your machine, and may require you download the model files (this will happen automatically). + +```python +from chromadb.utils import embedding_functions +default_ef = embedding_functions.DefaultEmbeddingFunction() +``` + +{% note type="default" %} +Embedding functions can be linked to a collection and used whenever you call `add`, `update`, `upsert` or `query`. You can also use them directly which can be handy for debugging. +```py +val = default_ef(["foo"]) +``` +-> [[0.05035809800028801, 0.0626462921500206, -0.061827320605516434...]] +{% /note %} + + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +## Sentence Transformers + +Chroma can also use any [Sentence Transformers](https://www.sbert.net/) model to create embeddings. + +```python +sentence_transformer_ef = embedding_functions.SentenceTransformerEmbeddingFunction(model_name="all-MiniLM-L6-v2") +``` + +You can pass in an optional `model_name` argument, which lets you choose which Sentence Transformers model to use. By default, Chroma uses `all-MiniLM-L6-v2`. You can see a list of all available models [here](https://www.sbert.net/docs/pretrained_models.html). + +{% /tab %} +{% tab label="Javascript" %} +{% /tab %} +{% /tabs %} + + +*** + + +## Custom Embedding Functions + +{% tabs group="code-lang" hideContent=true %} + +{% tab label="Python" %} +{% /tab %} + +{% tab label="Javascript" %} +{% /tab %} + +{% /tabs %} + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +You can create your own embedding function to use with Chroma, it just needs to implement the `EmbeddingFunction` protocol. + +```python +from chromadb import Documents, EmbeddingFunction, Embeddings + +class MyEmbeddingFunction(EmbeddingFunction): + def __call__(self, input: Documents) -> Embeddings: + # embed the documents somehow + return embeddings +``` + +We welcome contributions! If you create an embedding function that you think would be useful to others, please consider [submitting a pull request](https://github.com/chroma-core/chroma) to add it to Chroma's `embedding_functions` module. + + +{% /tab %} +{% tab label="Javascript" %} + +You can create your own embedding function to use with Chroma, it just needs to implement the `EmbeddingFunction` protocol. The `.generate` method in a class is strictly all you need. + +```javascript +class MyEmbeddingFunction { + private api_key: string; + + constructor(api_key: string) { + this.api_key = api_key; + } + + public async generate(texts: string[]): Promise { + // do things to turn texts into embeddings with an api_key perhaps + return embeddings; + } +} +``` + +{% /tab %} +{% /tabs %} diff --git a/docs/docs.trychroma.com/markdoc/content/docs/guides/multimodal-guide.md b/docs/docs.trychroma.com/markdoc/content/docs/guides/multimodal-guide.md new file mode 100644 index 00000000000..70d7b30e5dc --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/guides/multimodal-guide.md @@ -0,0 +1,158 @@ +--- +{ + "id": "multimodal-guide", + "title": "Multimodal", + "section": "Guides", + "order": 2 +} +--- + +# Multimodal + +{% tabs group="code-lang" hideContent=true %} + +{% tab label="Python" %} +{% /tab %} + +{% tab label="Javascript" %} +{% /tab %} + +{% /tabs %} + +--- + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +Chroma supports multimodal collections, i.e. collections which can store, and can be queried by, multiple modalities of data. + +Try it out in Colab: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/chroma-core/chroma/blob/main/examples/multimodal/multimodal_retrieval.ipynb) + +## Multi-modal Embedding Functions + +Chroma supports multi-modal embedding functions, which can be used to embed data from multiple modalities into a single embedding space. + +Chroma has the OpenCLIP embedding function built in, which supports both text and images. + +```python +from chromadb.utils.embedding_functions import OpenCLIPEmbeddingFunction +embedding_function = OpenCLIPEmbeddingFunction() +``` + +## Data Loaders + +Chroma supports data loaders, for storing and querying with data stored outside Chroma itself, via URI. Chroma will not store this data, but will instead store the URI, and load the data from the URI when needed. + +Chroma has an data loader for loading images from a filesystem built in. + +```python +from chromadb.utils.data_loaders import ImageLoader +data_loader = ImageLoader() +``` + +## Multi-modal Collections + +You can create a multi-modal collection by passing in a multi-modal embedding function. In order to load data from a URI, you must also pass in a data loader. + +```python +import chromadb + +client = chromadb.Client() + +collection = client.create_collection( + name='multimodal_collection', + embedding_function=embedding_function, + data_loader=data_loader) + +``` + +### Adding data + +You can add data to a multi-modal collection by specifying the data modality. For now, images are supported: + +```python +collection.add( + ids=['id1', 'id2', 'id3'], + images=[...] # A list of numpy arrays representing images +) +``` + +Note that Chroma will not store the data for you, and you will have to maintain a mapping from IDs to data yourself. + +However, you can use Chroma in combination with data stored elsewhere, by adding it via URI. Note that this requires that you have specified a data loader when creating the collection. + +```python +collection.add( + ids=['id1', 'id2', 'id3'], + uris=[...] # A list of strings representing URIs to data +) +``` + +Since the embedding function is multi-modal, you can also add text to the same collection: + +```python +collection.add( + ids=['id4', 'id5', 'id6'], + documents=["This is a document", "This is another document", "This is a third document"] +) +``` + +### Querying + +You can query a multi-modal collection with any of the modalities that it supports. For example, you can query with images: + +```python +results = collection.query( + query_images=[...] # A list of numpy arrays representing images +) +``` + +Or with text: + +```python +results = collection.query( + query_texts=["This is a query document", "This is another query document"] +) +``` + +If a data loader is set for the collection, you can also query with URIs which reference data stored elsewhere of the supported modalities: + +```python +results = collection.query( + query_uris=[...] # A list of strings representing URIs to data +) +``` + +Additionally, if a data loader is set for the collection, and URIs are available, you can include the data in the results: + +```python +results = collection.query( + query_images=[...], # # list of numpy arrays representing images + includes=['data'] +) +``` + +This will automatically call the data loader for any available URIs, and include the data in the results. `uris` are also available as an `includes` field. + +### Updating + +You can update a multi-modal collection by specifying the data modality, in the same way as `add`. For now, images are supported: + +```python +collection.update( + ids=['id1', 'id2', 'id3'], + images=[...] # A list of numpy arrays representing images +) +``` + +Note that a given entry with a specific ID can only have one associated modality at a time. Updates will over-write the existing modality, so for example, an entry which originally has corresponding text and updated with an image, will no longer have that text after an update with images. + +{% /tab %} +{% tab label="Javascript" %} + +Support for multi-modal retrieval for Chroma's JavaScript client is coming soon! + +{% /tab %} + +{% /tabs %} + diff --git a/docs/docs.trychroma.com/markdoc/content/docs/guides/usage-guide.md b/docs/docs.trychroma.com/markdoc/content/docs/guides/usage-guide.md new file mode 100644 index 00000000000..ce37ff89487 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/guides/usage-guide.md @@ -0,0 +1,851 @@ +--- +{ + "id": "usage-guide", + "title": "Usage Guide", + "section": "Guides", + "order": 0 +} +--- + + +# Usage Guide + + +{% tabs group="code-lang" hideContent=true %} + +{% tab label="Python" %} +{% /tab %} + +{% tab label="Javascript" %} +{% /tab %} + +{% /tabs %} + +--- + +## Initiating a persistent Chroma client + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +```python +import chromadb +``` + +You can configure Chroma to save and load the database from your local machine. Data will be persisted automatically and loaded on start (if it exists). + +```python +client = chromadb.PersistentClient(path="/path/to/save/to") +``` + +The `path` is where Chroma will store its database files on disk, and load them on start. + +{% /tab %} +{% tab label="Javascript" %} + +```js +// CJS +const { ChromaClient } = require("chromadb"); + +// ESM +import { ChromaClient } from "chromadb"; +``` + +{% note type="note" title="Connecting to the backend" %} +To connect with the JS client, you must connect to a backend running Chroma. See [Running Chroma in client-server mode](#running-chroma-in-client-server-mode) for how to do this. +{% /note %} + +```js +const client = new ChromaClient(); +``` + +{% /tab %} + +{% /tabs %} + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +The client object has a few useful convenience methods. + +```python +client.heartbeat() # returns a nanosecond heartbeat. Useful for making sure the client remains connected. +client.reset() # Empties and completely resets the database. ⚠️ This is destructive and not reversible. +``` + +{% /tab %} +{% tab label="Javascript" %} + +The client object has a few useful convenience methods. + +```javascript +await client.reset() # Empties and completely resets the database. ⚠️ This is destructive and not reversible. +``` + +{% /tab %} + +{% /tabs %} + +## Running Chroma in client-server mode + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +Chroma can also be configured to run in client/server mode. In this mode, the Chroma client connects to a Chroma server running in a separate process. + +To start the Chroma server, run the following command: + +```bash +chroma run --path /db_path +``` + +Then use the Chroma HTTP client to connect to the server: + +```python +import chromadb +chroma_client = chromadb.HttpClient(host='localhost', port=8000) +``` + +That's it! Chroma's API will run in `client-server` mode with just this change. + +--- + +Chroma also provides an async HTTP client. The behaviors and method signatures are identical to the synchronous client, but all methods that would block are now async. To use it, call `AsyncHttpClient` instead: + +```python +import asyncio +import chromadb + +async def main(): + client = await chromadb.AsyncHttpClient() + collection = await client.create_collection(name="my_collection") + + await collection.add( + documents=["hello world"], + ids=["id1"] + ) + +asyncio.run(main()) +``` + + + +#### Using the Python HTTP-only client + +If you are running Chroma in client-server mode, you may not need the full Chroma library. Instead, you can use the lightweight client-only library. +In this case, you can install the `chromadb-client` package. This package is a lightweight HTTP client for the server with a minimal dependency footprint. + +```python +pip install chromadb-client +``` + +```python +import chromadb +# Example setup of the client to connect to your chroma server +client = chromadb.HttpClient(host='localhost', port=8000) + +# Or for async usage: +async def main(): + client = await chromadb.AsyncHttpClient(host='localhost', port=8000) +``` + +Note that the `chromadb-client` package is a subset of the full Chroma library and does not include all the dependencies. If you want to use the full Chroma library, you can install the `chromadb` package instead. +Most importantly, there is no default embedding function. If you add() documents without embeddings, you must have manually specified an embedding function and installed the dependencies for it. + +{% /tab %} +{% tab label="Javascript" %} + +To run Chroma in client server mode, first install the chroma library and CLI via pypi: + +```bash +pip install chromadb +``` + +Then start the Chroma server: + +```bash +chroma run --path /db_path +``` + +The JS client then talks to the chroma server backend. + +```js +// CJS +const { ChromaClient } = require("chromadb"); + +// ESM +import { ChromaClient } from "chromadb"; + +const client = new ChromaClient(); +``` + +You can also run the Chroma server in a docker container, or deployed to a cloud provider. See the [deployment docs](./deployment.md) for more information. + +{% /tab %} + +{% /tabs %} + +## Using collections + +Chroma lets you manage collections of embeddings, using the `collection` primitive. + +### Creating, inspecting, and deleting Collections + +Chroma uses collection names in the url, so there are a few restrictions on naming them: + +- The length of the name must be between 3 and 63 characters. +- The name must start and end with a lowercase letter or a digit, and it can contain dots, dashes, and underscores in between. +- The name must not contain two consecutive dots. +- The name must not be a valid IP address. + +Chroma collections are created with a name and an optional embedding function. If you supply an embedding function, you must supply it every time you get the collection. + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +```python +collection = client.create_collection(name="my_collection", embedding_function=emb_fn) +collection = client.get_collection(name="my_collection", embedding_function=emb_fn) +``` + +{% note type="caution" %} +If you later wish to `get_collection`, you MUST do so with the embedding function you supplied while creating the collection +{% /note %} + +The embedding function takes text as input, and performs tokenization and embedding. If no embedding function is supplied, Chroma will use [sentence transformer](https://www.sbert.net/index.html) as a default. + +{% /tab %} +{% tab label="Javascript" %} + +```js +// CJS +const { ChromaClient } = require("chromadb"); + +// ESM +import { ChromaClient } from "chromadb"; +``` + +The JS client talks to a chroma server backend. This can run on your local computer or be easily deployed to AWS. + +```js +let collection = await client.createCollection({ + name: "my_collection", + embeddingFunction: emb_fn, +}); +let collection2 = await client.getCollection({ + name: "my_collection", + embeddingFunction: emb_fn, +}); +``` + +{% note type="caution" %} +If you later wish to `getCollection`, you MUST do so with the embedding function you supplied while creating the collection +{% /note %} + +The embedding function takes text as input, and performs tokenization and embedding. + +{% /tab %} + +{% /tabs %} + +You can learn more about [🧬 embedding functions](./guides/embeddings), and how to create your own. + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +Existing collections can be retrieved by name with `.get_collection`, and deleted with `.delete_collection`. You can also use `.get_or_create_collection` to get a collection if it exists, or create it if it doesn't. + +```python +collection = client.get_collection(name="test") # Get a collection object from an existing collection, by name. Will raise an exception if it's not found. +collection = client.get_or_create_collection(name="test") # Get a collection object from an existing collection, by name. If it doesn't exist, create it. +client.delete_collection(name="my_collection") # Delete a collection and all associated embeddings, documents, and metadata. ⚠️ This is destructive and not reversible +``` + +{% /tab %} +{% tab label="Javascript" %} + +Existing collections can be retrieved by name with `.getCollection`, and deleted with `.deleteCollection`. + +```javascript +const collection = await client.getCollection({ name: "test" }); // Get a collection object from an existing collection, by name. Will raise an exception of it's not found. +collection = await client.getOrCreateCollection({ name: "test" }); // Get a collection object from an existing collection, by name. If it doesn't exist, create it. +await client.deleteCollection(collection); // Delete a collection and all associated embeddings, documents, and metadata. ⚠️ This is destructive and not reversible +``` + +{% /tab %} + +{% /tabs %} + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +Collections have a few useful convenience methods. + +```python +collection.peek() # returns a list of the first 10 items in the collection +collection.count() # returns the number of items in the collection +collection.modify(name="new_name") # Rename the collection +``` + +{% /tab %} +{% tab label="Javascript" %} + +There are a few useful convenience methods for working with Collections. + +```javascript +await collection.peek(); // returns a list of the first 10 items in the collection +await collection.count(); // returns the number of items in the collection +``` + +{% /tab %} + +{% /tabs %} + +### Changing the distance function + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +`create_collection` also takes an optional `metadata` argument which can be used to customize the distance method of the embedding space by setting the value of `hnsw:space`. + +```python + collection = client.create_collection( + name="collection_name", + metadata={"hnsw:space": "cosine"} # l2 is the default + ) +``` + +{% /tab %} +{% tab label="Javascript" %} + +`createCollection` also takes an optional `metadata` argument which can be used to customize the distance method of the embedding space by setting the value of `hnsw:space` + +```js +let collection = client.createCollection({ + name: "collection_name", + metadata: { "hnsw:space": "cosine" }, +}); +``` + +{% /tab %} + +{% /tabs %} + +Valid options for `hnsw:space` are "l2", "ip, "or "cosine". The **default** is "l2" which is the squared L2 norm. + +{% special_table %} +{% /special_table %} + +| Distance | parameter | Equation | +| ----------------- | :-------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| Squared L2 | `l2` | {% math latexText="d = \\sum\\left(A_i-B_i\\right)^2" %}{% /math %} | +| Inner product | `ip` | {% math latexText="d = 1.0 - \\sum\\left(A_i \\times B_i\\right) " %}{% /math %} | +| Cosine similarity | `cosine` | {% math latexText="d = 1.0 - \\frac{\\sum\\left(A_i \\times B_i\\right)}{\\sqrt{\\sum\\left(A_i^2\\right)} \\cdot \\sqrt{\\sum\\left(B_i^2\\right)}}" %}{% /math %} | + +### Adding data to a Collection + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +Add data to Chroma with `.add`. + +Raw documents: + +```python +collection.add( + documents=["lorem ipsum...", "doc2", "doc3", ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + ids=["id1", "id2", "id3", ...] +) +``` + +{% /tab %} +{% tab label="Javascript" %} + +Add data to Chroma with `.addRecords`. + +Raw documents: + +```javascript +await collection.add({ + ids: ["id1", "id2", "id3", ...], + metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents: ["lorem ipsum...", "doc2", "doc3", ...], +}) +// input order +// ids - required +// embeddings - optional +// metadata - optional +// documents - optional +``` + +{% /tab %} + +{% /tabs %} + +If Chroma is passed a list of `documents`, it will automatically tokenize and embed them with the collection's embedding function (the default will be used if none was supplied at collection creation). Chroma will also store the `documents` themselves. If the documents are too large to embed using the chosen embedding function, an exception will be raised. + +Each document must have a unique associated `id`. Trying to `.add` the same ID twice will result in only the initial value being stored. An optional list of `metadata` dictionaries can be supplied for each document, to store additional information and enable filtering. + +Alternatively, you can supply a list of document-associated `embeddings` directly, and Chroma will store the associated documents without embedding them itself. + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +```python +collection.add( + documents=["doc1", "doc2", "doc3", ...], + embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + ids=["id1", "id2", "id3", ...] +) +``` + +{% /tab %} +{% tab label="Javascript" %} + +```javascript +await collection.add({ + ids: ["id1", "id2", "id3", ...], + embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents: ["lorem ipsum...", "doc2", "doc3", ...], +}) + +``` + +{% /tab %} + +{% /tabs %} + +If the supplied `embeddings` are not the same dimension as the collection, an exception will be raised. + +You can also store documents elsewhere, and just supply a list of `embeddings` and `metadata` to Chroma. You can use the `ids` to associate the embeddings with your documents stored elsewhere. + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +```python +collection.add( + ids=["id1", "id2", "id3", ...], + embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...] +) +``` + +{% /tab %} +{% tab label="Javascript" %} + +```javascript +await collection.add({ + ids: ["id1", "id2", "id3", ...], + embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], +}) +``` + +{% /tab %} + +{% /tabs %} + +### Querying a Collection + +You can query by a set of `query_embeddings`. + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +Chroma collections can be queried in a variety of ways, using the `.query` method. + +```python +collection.query( + query_embeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], + n_results=10, + where={"metadata_field": "is_equal_to_this"}, + where_document={"$contains":"search_string"} +) +``` + +{% /tab %} +{% tab label="Javascript" %} + +Chroma collections can be queried in a variety of ways, using the `.queryRecords` method. + +```javascript +const result = await collection.query({ + queryEmbeddings: [[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], + nResults: 10, + where: {"metadata_field": "is_equal_to_this"}, +}) +// input order +// queryEmbeddings - optional, exactly one of queryEmbeddings and queryTexts must be provided +// queryTexts - optional +// n_results - required +// where - optional +``` + +{% /tab %} + +{% /tabs %} + +The query will return the `n_results` closest matches to each `query_embedding`, in order. +An optional `where` filter dictionary can be supplied to filter by the `metadata` associated with each document. +Additionally, an optional `where_document` filter dictionary can be supplied to filter by contents of the document. + +If the supplied `query_embeddings` are not the same dimension as the collection, an exception will be raised. + +You can also query by a set of `query_texts`. Chroma will first embed each `query_text` with the collection's embedding function, and then perform the query with the generated embedding. + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +```python +collection.query( + query_texts=["doc10", "thus spake zarathustra", ...], + n_results=10, + where={"metadata_field": "is_equal_to_this"}, + where_document={"$contains":"search_string"} +) +``` + +You can also retrieve items from a collection by `id` using `.get`. + +```python +collection.get( + ids=["id1", "id2", "id3", ...], + where={"style": "style1"} +) +``` + +{% /tab %} +{% tab label="Javascript" %} + +```javascript +await collection.query({ + nResults: 10, // n_results + where: {"metadata_field": "is_equal_to_this"}, // where + queryTexts: ["doc10", "thus spake zarathustra", ...], // query_text +}) +``` + +You can also retrieve records from a collection by `id` using `.getRecords`. + +```javascript +await collection.get( { + ids: ["id1", "id2", "id3", ...], //ids + where: {"style": "style1"} // where +}) +``` + +{% /tab %} + +{% /tabs %} + +`.get` also supports the `where` and `where_document` filters. If no `ids` are supplied, it will return all items in the collection that match the `where` and `where_document` filters. + +##### Choosing which data is returned + +When using get or query you can use the include parameter to specify which data you want returned - any of `embeddings`, `documents`, `metadatas`, and for query, `distances`. By default, Chroma will return the `documents`, `metadatas` and in the case of query, the `distances` of the results. `embeddings` are excluded by default for performance and the `ids` are always returned. You can specify which of these you want returned by passing an array of included field names to the includes parameter of the query or get method. Note that embeddings will be returned as a 2-d numpy array in `.get` and a python list of 2-d numpy arrays in `.query`. + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +```python +# Only get documents and ids +collection.get( + include=["documents"] +) + +collection.query( + query_embeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], + include=["documents"] +) +``` + +{% /tab %} +{% tab label="Javascript" %} + +```javascript +# Only get documents and ids +collection.get( + {include=["documents"]} +) + +collection.get({ + queryEmbeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], + include=["documents"] +}) +``` + +{% /tab %} + +{% /tabs %} + +### Using Where filters + +Chroma supports filtering queries by `metadata` and `document` contents. The `where` filter is used to filter by `metadata`, and the `where_document` filter is used to filter by `document` contents. + +##### Filtering by metadata + +In order to filter on metadata, you must supply a `where` filter dictionary to the query. The dictionary must have the following structure: + +```python +{ + "metadata_field": { + : + } +} +``` + +Filtering metadata supports the following operators: + +- `$eq` - equal to (string, int, float) +- `$ne` - not equal to (string, int, float) +- `$gt` - greater than (int, float) +- `$gte` - greater than or equal to (int, float) +- `$lt` - less than (int, float) +- `$lte` - less than or equal to (int, float) + +Using the $eq operator is equivalent to using the `where` filter. + +```python +{ + "metadata_field": "search_string" +} + +# is equivalent to + +{ + "metadata_field": { + "$eq": "search_string" + } +} +``` + +{% note type="note" %} +Where filters only search embeddings where the key exists. If you search `collection.get(where={"version": {"$ne": 1}})`. Metadata that does not have the key `version` will not be returned. +{% /note %} + +##### Filtering by document contents + +In order to filter on document contents, you must supply a `where_document` filter dictionary to the query. We support two filtering keys: `$contains` and `$not_contains`. The dictionary must have the following structure: + +```python +# Filtering for a search_string +{ + "$contains": "search_string" +} +``` + +```python +# Filtering for not contains +{ + "$not_contains": "search_string" +} +``` + +##### Using logical operators + +You can also use the logical operators `$and` and `$or` to combine multiple filters. + +An `$and` operator will return results that match all of the filters in the list. + +```python +{ + "$and": [ + { + "metadata_field": { + : + } + }, + { + "metadata_field": { + : + } + } + ] +} +``` + +An `$or` operator will return results that match any of the filters in the list. + +```python +{ + "$or": [ + { + "metadata_field": { + : + } + }, + { + "metadata_field": { + : + } + } + ] +} +``` + +##### Using inclusion operators (`$in` and `$nin`) + +The following inclusion operators are supported: + +- `$in` - a value is in predefined list (string, int, float, bool) +- `$nin` - a value is not in predefined list (string, int, float, bool) + +An `$in` operator will return results where the metadata attribute is part of a provided list: + +```json +{ + "metadata_field": { + "$in": ["value1", "value2", "value3"] + } +} +``` + +An `$nin` operator will return results where the metadata attribute is not part of a provided list: + +```json +{ + "metadata_field": { + "$nin": ["value1", "value2", "value3"] + } +} +``` + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +{% note type="note" title="Practical examples" %} +For additional examples and a demo how to use the inclusion operators, please see provided notebook [here](https://github.com/chroma-core/chroma/blob/main/examples/basic_functionality/in_not_in_filtering.ipynb) +{% /note %} + +{% /tab %} +{% tab label="Javascript" %} +{% /tab %} + +{% /tabs %} + +### Updating data in a collection + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +Any property of records in a collection can be updated using `.update`. + +```python +collection.update( + ids=["id1", "id2", "id3", ...], + embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents=["doc1", "doc2", "doc3", ...], +) +``` + +{% /tab %} +{% tab label="Javascript" %} + +Any property of records in a collection can be updated using `.updateRecords`. + +```javascript +collection.update( + { + ids: ["id1", "id2", "id3", ...], + embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents: ["doc1", "doc2", "doc3", ...], + }, +) +``` + +{% /tab %} + +{% /tabs %} + +If an `id` is not found in the collection, an error will be logged and the update will be ignored. If `documents` are supplied without corresponding `embeddings`, the embeddings will be recomputed with the collection's embedding function. + +If the supplied `embeddings` are not the same dimension as the collection, an exception will be raised. + +Chroma also supports an `upsert` operation, which updates existing items, or adds them if they don't yet exist. + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +```python +collection.upsert( + ids=["id1", "id2", "id3", ...], + embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], + metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], + documents=["doc1", "doc2", "doc3", ...], +) +``` + +{% /tab %} +{% tab label="Javascript" %} + +```javascript +await collection.upsert({ + ids: ["id1", "id2", "id3"], + embeddings: [ + [1.1, 2.3, 3.2], + [4.5, 6.9, 4.4], + [1.1, 2.3, 3.2], + ], + metadatas: [ + { chapter: "3", verse: "16" }, + { chapter: "3", verse: "5" }, + { chapter: "29", verse: "11" }, + ], + documents: ["doc1", "doc2", "doc3"], +}); +``` + +{% /tab %} + +{% /tabs %} + +If an `id` is not present in the collection, the corresponding items will be created as per `add`. Items with existing `id`s will be updated as per `update`. + +### Deleting data from a collection + +Chroma supports deleting items from a collection by `id` using `.delete`. The embeddings, documents, and metadata associated with each item will be deleted. +⚠️ Naturally, this is a destructive operation, and cannot be undone. + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +```python +collection.delete( + ids=["id1", "id2", "id3",...], + where={"chapter": "20"} +) +``` + +{% /tab %} +{% tab label="Javascript" %} + +```javascript +await collection.delete({ + ids: ["id1", "id2", "id3",...], //ids + where: {"chapter": "20"} //where +}) +``` + +{% /tab %} + +{% /tabs %} + +`.delete` also supports the `where` filter. If no `ids` are supplied, it will delete all items in the collection that match the `where` filter. diff --git a/docs/docs.trychroma.com/markdoc/content/docs/overview/about.md b/docs/docs.trychroma.com/markdoc/content/docs/overview/about.md new file mode 100644 index 00000000000..8592e16e356 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/overview/about.md @@ -0,0 +1,57 @@ +--- +{ + "id": "about", + "title": "About", + "section": "Overview", + "order": 4 +} +--- + +# About + +{% Banner type="tip" title="We are hiring" %} +We are hiring software engineers and applied research scientists. +{% /Banner %} + +## Who we are + +[View open roles](https://careers.trychroma.com/) + +Chroma as a project is coordinated by a small team of full-time employees who work at a company also called Chroma. + +We work in the sunny Mission District in San Francisco. + +Chroma is co-founded by [Jeff Huber](https://twitter.com/jeffreyhuber) (left) and [Anton Troynikov](https://twitter.com/atroyn) (right). + +![](/team.JPG) + +## Our commitment to open source + +Chroma is a company that builds the open-source project also called Chroma. + +We are committed to building open source software because we believe in the flourishing of humanity that will be unlocked through the democratization of robust, safe, and aligned AI systems. These tools need to be available to a new developer just starting in ML as well as the organizations that scale ML to millions (and billions) of users. Open source is about expanding the horizon of what’s possible. + +Chroma is a _commercial_ open source company. What does that mean? We believe that organizing financially sustainable teams of people to work to manage, push and integrate the project enriches the health of the project and the community. + +It is important that our values around this are very clear! + +- We are committed to building Chroma as a ubiquitous open source standard +- A successful Chroma-based commercial product is essential for the success of the technology, and is a win-win for everyone. Simply put, many organizations will not adopt Chroma without the option of a commercially hosted solution; and the project must be backed by a company with a viable business model. We want to build an awesome project and an awesome business. +- We will decide what we provide exclusively in the commercial product based on clear, consistent criteria. + +What code will be open source? As a general rule, any feature which an individual developer would find useful will be 100% open source forever. This approach, popularized by Gitlab, is called [buyer-based open source](https://about.gitlab.com/company/stewardship/). We believe that this is essential to accomplishing our mission. + +Currently we don’t have any specific plans to monetize Chroma, we are working on a hosted service that will be launched as a free technical preview to make it easier for developers to get going. We are 100% focused on building valuable open source software with the community and for the community. + + +## Our investors + +Chroma raised an $18M seed round led by Astasia Myers from Quiet Capital. Joining the round are angels including Naval Ravikant, Max and Jack Altman, Jordan Tigani (Motherduck), Guillermo Rauch (Vercel), Akshay Kothari (Notion), Amjad Masad (Replit), Spencer Kimball (CockroachDB), and other founders and leaders from ScienceIO, Gumroad, MongoDB, Scale, Hugging Face, Jasper and more. + +{% CenteredContent %} +![chroma-investors](/investors.png) +{% /CenteredContent %} + +Chroma raised a pre-seed in May 2022, led by Anthony Goldbloom (Kaggle) from AIX Ventures, James Cham from Bloomberg Beta, and Nat Friedman and Daniel Gross (AI Grant). + +We're excited to work with a deep set of investors and enterpreneurs who have invested in and built some of the most successful open-source projects in the world. diff --git a/docs/docs.trychroma.com/markdoc/content/docs/overview/contributing.md b/docs/docs.trychroma.com/markdoc/content/docs/overview/contributing.md new file mode 100644 index 00000000000..f7aa331d432 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/overview/contributing.md @@ -0,0 +1,49 @@ +--- +{ + "id": "contributing", + "title": "Contributing", + "section": "Overview", + "order": 3 +} +--- + +# Contributing + +We welcome all contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas. + +## Getting Started +Here are some helpful links to get you started with contributing to Chroma + +- The Chroma codebase is hosted on [Github](https://github.com/chroma-core/chroma) +- Issues are tracked on [Github Issues](https://github.com/chroma-core/chroma/issues). Please report any issues you find there making sure to fill out the correct [form for the type of issue you are reporting](https://github.com/chroma-core/chroma/issues/new/choose). +- In order to run Chroma locally you can follow the [Development Instructions](https://github.com/chroma-core/chroma/blob/main/DEVELOP.md). +- If you want to contribute and aren't sure where to get started you can search for issues with the [Good first issue](https://github.com/chroma-core/chroma/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) tag or take a look at our [Roadmap](https://docs.trychroma.com/roadmap). +- The Chroma documentation (including this page!) is hosted on [Github](https://github.com/chroma-core/docs) as well. If you find any issues with the documentation please report them on the Github Issues page for the documentation [here](https://github.com/chroma-core/docs/issues). + + +## Contributing Code and Ideas + +### Pull Requests +In order to submit a change to Chroma please submit a [Pull Request](https://github.com/chroma-core/chroma/compare) against Chroma or the documentation. The pull request will be reviewed by the Chroma team and if approved, will be merged into the repository. We will do our best to review pull requests in a timely manner but please be patient as we are a small team. We will work to integrate your proposed changes as quickly as possible if they align with the goals of the project. We ask that you label your pull request with a title prefix that indicates the type of change you are proposing. The following prefixes are used: + +``` +ENH: Enhancement, new functionality +BUG: Bug fix +DOC: Additions/updates to documentation +TST: Additions/updates to tests +BLD: Updates to the build process/scripts +PERF: Performance improvement +TYP: Type annotations +CLN: Code cleanup +CHORE: Maintenance and other tasks that do not modify source or test files +``` + + +### CIPs +Chroma Improvement Proposals or CIPs (pronounced "Chips") are the way to propose new features or large changes to Chroma. If you plan to make a large change to Chroma please submit a CIP first so that the core Chroma team as well as the community can discuss the proposed change and provide feedback. A CIP should provide a concise technical specification of the feature and a rationale for why it is needed. The CIP should be submitted as a pull request to the [CIPs folder](https://github.com/chroma-core/chroma/tree/main/docs). The CIP will be reviewed by the Chroma team and if approved will be merged into the repository. To learn more about writing a CIP you can read the [guide](https://github.com/chroma-core/chroma/blob/main/docs/CIP_Chroma_Improvment_Proposals.md). CIPs are not required for small changes such as bug fixes or documentation updates. + +A CIP starts in the "Proposed" state, then moves to "Under Review" once the Chroma team has reviewed it and is considering it for implementation. Once the CIP is approved it will move to the "Accepted" state and the implementation can begin. Once the implementation is complete the CIP will move to the "Implemented" state. If the CIP is not approved it will move to the "Rejected" state. If the CIP is withdrawn by the author it will move to the "Withdrawn" state. + + +### Discord +For less fleshed out ideas you want to discuss with the community, you can join our [Discord](https://discord.gg/Fk2pH7k6) and chat with us in the #feature-ideas channel. We are always happy to discuss new ideas and features with the community. diff --git a/docs/docs.trychroma.com/markdoc/content/docs/overview/getting-started.md b/docs/docs.trychroma.com/markdoc/content/docs/overview/getting-started.md new file mode 100644 index 00000000000..5ff535a6598 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/overview/getting-started.md @@ -0,0 +1,313 @@ +--- +{ + "id": "getting-started", + "title": "Getting Started", + "section": "Overview", + "order": 1 +} +--- + +# Getting Started + +Chroma is an AI-native open-source vector database. It comes with everything you need to get started built in, and runs on your machine. A [hosted version](https://airtable.com/shrOAiDUtS2ILy5vZ) is coming soon! + +### 1. Install + +{% MarkdocTabs %} + +{% Tab label="python" %} + +```terminal +pip install chromadb +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +{% TabbedUseCaseCodeBlock language="Terminal" %} + +{% Tab label="yarn" %} +```terminal +yarn install chromadb chromadb-default-embed +``` +{% /Tab %} + +{% Tab label="npm" %} +```terminal +npm install --save chromadb chromadb-default-embed +``` +{% /Tab %} + +{% Tab label="pnpm" %} +```terminal +pnpm install chromadb chromadb-default-embed +``` +{% /Tab %} + +{% /TabbedUseCaseCodeBlock %} + +Install chroma via `pip` to easily run the backend server. ([Docker](../../production/containers/docker) also available) + +```terminal +pip install chromadb +``` + +{% /Tab %} + +{% /MarkdocTabs %} + +### 2. Create a Chroma Client + +{% MarkdocTabs %} + +{% Tab label="python" %} +```python +import chromadb +chroma_client = chromadb.Client() +``` +{% /Tab %} +{% Tab label="typescript" %} + +Run the Chroma backend: + +{% TabbedUseCaseCodeBlock language="Terminal" %} + +{% Tab label="CLI" %} +```terminal +chroma run --path ./getting-started +``` +{% /Tab %} + +{% Tab label="Docker" %} +```terminal +docker pull chromadb/chroma +docker run -p 8000:8000 chromadb/chroma +``` +{% /Tab %} + +{% /TabbedUseCaseCodeBlock %} + +Then create a client which connects to it: + +{% TabbedUseCaseCodeBlock language="typescript" %} + +{% Tab label="ESM" %} +```typescript +import { ChromaClient } from "chromadb"; +const client = new ChromaClient(); +``` +{% /Tab %} + +{% Tab label="CJS" %} +```typescript +const { ChromaClient } = require("chromadb"); +const client = new ChromaClient(); +``` +{% /Tab %} + +{% /TabbedUseCaseCodeBlock %} + +{% /Tab %} + +{% /MarkdocTabs %} + +### 3. Create a collection + +Collections are where you'll store your embeddings, documents, and any additional metadata. Collections index your embeddings and documents, and enable efficient retrieval and filtering. You can create a collection with a name: + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection = chroma_client.create_collection(name="my_collection") +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +const collection = await client.createCollection({ + name: "my_collection", +}); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +### 4. Add some text documents to the collection + +Chroma will store your text and handle embedding and indexing automatically. You can also customize the embedding model. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.add( + documents=[ + "This is a document about pineapple", + "This is a document about oranges" + ], + ids=["id1", "id2"] +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.add({ + documents: [ + "This is a document about pineapple", + "This is a document about oranges", + ], + ids: ["id1", "id2"], +}); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +### 5. Query the collection + +You can query the collection with a list of query texts, and Chroma will return the `n` most similar results. It's that easy! + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +results = collection.query( + query_texts=["This is a query document about hawaii"], # Chroma will embed this for you + n_results=2 # how many results to return +) +print(results) +``` + +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +const results = await collection.query({ + queryTexts: "This is a query document about hawaii", // Chroma will embed this for you + nResults: 2, // how many results to return +}); + +console.log(results); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +If `n_results` is not provided, Chroma will return 10 results by default. Here we only added 2 documents, so we set `n_results=2`. + +### 6. Inspect Results + +From the above query - you can see that our query about `hawaii` is the semantically most similar to the document about `pineapple`. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +{ + 'documents': [[ + 'This is a document about pineapple', + 'This is a document about oranges' + ]], + 'ids': [['id1', 'id2']], + 'distances': [[1.0404009819030762, 1.243080496788025]], + 'uris': None, + 'data': None, + 'metadatas': [[None, None]], + 'embeddings': None, +} +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +{ + documents: [ + [ + 'This is a document about pineapple', + 'This is a document about oranges' + ] + ], + ids: [ + ['id1', 'id2'] + ], + distances: [[1.0404009819030762, 1.243080496788025]], + uris: null, + data: null, + metadatas: [[null, null]], + embeddings: null +} +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +### 7. Try it out yourself + +For example - what if we tried querying with `"This is a document about florida"`? + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +import chromadb +chroma_client = chromadb.Client() + +# switch `create_collection` to `get_or_create_collection` to avoid creating a new collection every time +collection = chroma_client.get_or_create_collection(name="my_collection") + +# switch `add` to `upsert` to avoid adding the same documents every time +collection.upsert( + documents=[ + "This is a document about pineapple", + "This is a document about oranges" + ], + ids=["id1", "id2"] +) + +results = collection.query( + query_texts=["This is a query document about florida"], # Chroma will embed this for you + n_results=2 # how many results to return +) + +print(results) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +import { ChromaClient } from "chromadb"; +const client = new ChromaClient(); + +// switch `createCollection` to `getOrCreateCollection` to avoid creating a new collection every time +const collection = await client.getOrCreateCollection({ + name: "my_collection", +}); + +// switch `addRecords` to `upsertRecords` to avoid adding the same documents every time +await collection.upsert({ + documents: [ + "This is a document about pineapple", + "This is a document about oranges", + ], + ids: ["id1", "id2"], +}); + +const results = await collection.query({ + queryTexts: "This is a query document about florida", // Chroma will embed this for you + nResults: 2, // how many results to return +}); + +console.log(results); +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +## Next steps + +- Learn how to [Deploy Chroma](../../production/deployment) to a server +- Join Chroma's [Discord Community](https://discord.com/invite/MMeYNTmh3x) to ask questions and get help +- Follow Chroma on [Twitter (@trychroma)](https://twitter.com/trychroma) for updates diff --git a/docs/docs.trychroma.com/markdoc/content/docs/overview/introduction.md b/docs/docs.trychroma.com/markdoc/content/docs/overview/introduction.md new file mode 100644 index 00000000000..601f7e79183 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/overview/introduction.md @@ -0,0 +1,92 @@ +--- +{ + "id": "introduction", + "title": "Introduction", + "section": "Overview", + "order": 0 +} +--- + +# Chroma + +**Chroma is the open-source AI application database**. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. + +{% Banner type="tip" %} +New to Chroma? Check out the [getting started guide](./getting-started) +{% /Banner %} + +![Chroma Computer](/computer.svg) + +Chroma gives you everything you need for retrieval: + +- Store embeddings and their metadata +- Vector search +- Full-text search +- Document storage +- Metadata filtering +- Multi-modal retrieval + +Chroma runs as a server and provides `Python` and `JavaScript/TypeScript` client SDKs. Check out the [Colab demo](https://colab.research.google.com/drive/1QEzFyqnoFxq7LUGyP1vzR4iLt9PpCDXv?usp=sharing) (yes, it can run in a Jupyter notebook). + +Chroma is licensed under [Apache 2.0](https://github.com/chroma-core/chroma/blob/main/LICENSE) + +### Python +In Python, Chroma can run in a python script or as a server. Install Chroma with + +```shell +pip install chromadb +``` + +### JavaScript +In JavaScript, use the Chroma JS/TS Client to connect to a Chroma server. Install Chroma with your favorite package manager: + +{% TabbedUseCaseCodeBlock language="Terminal" %} + +{% Tab label="yarn" %} +```terminal +yarn install chromadb chromadb-default-embed +``` +{% /Tab %} + +{% Tab label="npm" %} +```terminal +npm install --save chromadb chromadb-default-embed +``` +{% /Tab %} + +{% Tab label="pnpm" %} +```terminal +pnpm install chromadb chromadb-default-embed +``` +{% /Tab %} + +{% /TabbedUseCaseCodeBlock %} + + +Continue with the full [getting started guide](./getting-started). + + +*** + +### Language Clients + +| Language | Client | +|---------------|--------------------------------------------------------------------------------------------------------------------------| +| Python | [`chromadb`](https://pypistats.org/packages/chromadb) (by Chroma) | +| Javascript | [`chromadb`](https://www.npmjs.com/package/chromadb) (by Chroma) | +| Ruby | [from @mariochavez](https://github.com/mariochavez/chroma) | +| Java | [from @t_azarov](https://github.com/amikos-tech/chromadb-java-client) | +| Go | [from @t_azarov](https://github.com/amikos-tech/chroma-go) | +| C# | [from @microsoft](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/src/Connectors/Connectors.Memory.Chroma) | +| Rust | [from @Anush008](https://crates.io/crates/chromadb) | +| Elixir | [from @3zcurdia](https://hex.pm/packages/chroma/) | +| Dart | [from @davidmigloz](https://pub.dev/packages/chromadb) | +| PHP | [from @CodeWithKyrian](https://github.com/CodeWithKyrian/chromadb-php) | +| PHP (Laravel) | [from @HelgeSverre](https://github.com/helgeSverre/chromadb) | +| Clojure | [from @levand](https://github.com/levand/clojure-chroma-client) | + + +{% br %}{% /br %} + +We welcome [contributions](/markdoc/content/docs/overview/contributing.md) for other languages! + diff --git a/docs/docs.trychroma.com/markdoc/content/docs/overview/roadmap.md b/docs/docs.trychroma.com/markdoc/content/docs/overview/roadmap.md new file mode 100644 index 00000000000..b7cf56dc6be --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/overview/roadmap.md @@ -0,0 +1,103 @@ +--- +{ + "id": "roadmap", + "title": "Roadmap", + "section": "Overview", + "order": 2 +} +--- + + +# Roadmap + + +{% note type="default" title="Last Updated" %} +`May 20, 2024` +{% /note %} + +The goal of this doc is to align *core* and *community* efforts for the project and to share what's in store for this year! + +**Sections** +- What is the core Chroma team working on right now? +- What will Chroma prioritize over the next 6mo? +- What areas are great for community contributions? + +## What is the core Chroma team working on right now? + +- Standing up that distributed system as a managed service (aka "Hosted Chroma" - [sign up for waitlist](https://airtable.com/shrOAiDUtS2ILy5vZ)!) + +## What did the Chroma team just complete? + +Features like: +- *New* - [Chroma 0.4](https://www.trychroma.com/blog/chroma_0.4.0) - our first production-oriented release +- A more minimal python-client only build target +- Google PaLM embedding support +- OpenAI ChatGPT Retrieval Plugin + +## What will Chroma prioritize over the next 6mo? + +**Next Milestone: ☁️ Launch Hosted Chroma** + +**Areas we will invest in** + +Not an exhaustive list, but these are some of the core team’s biggest priorities over the coming few months. Use caution when contributing in these areas and please check-in with the core team first. + +- **Workflow**: Building tools for answer questions like: what embedding model should I use? And how should I chunk up my documents? +- **Visualization**: Building visualization tool to give developers greater intuition embedding spaces +- **Query Planner**: Building tools to enable per-query and post-query transforms +- **Developer experience**: Extending Chroma into a CLI +- **Easier Data Sharing**: Working on formats for serialization and easier data sharing of embedding Collections +- **Improving recall**: Fine-tuning embedding transforms through human feedback +- **Analytical horsepower**: Clustering, deduplication, classification and more + +## What areas are great for community contributions? + +This is where you have a lot more free reign to contribute (without having to sync with us first)! + +If you're unsure about your contribution idea, feel free to chat with us (@chroma) in the `#general` channel in [our Discord](https://discord.gg/rahcMUU5XV)! We'd love to support you however we can. + +### Example Templates + +We can always use [more integrations](../../integrations/chroma-integrations) with the rest of the AI ecosystem. Please let us know if you're working on one and need help! + +Other great starting points for Chroma (please send PRs for more [here](https://github.com/chroma-core/docs/tree/swyx/addRoadmap/docs)): +- [Google Colab](https://colab.research.google.com/drive/1QEzFyqnoFxq7LUGyP1vzR4iLt9PpCDXv?usp=sharing) +- [Replit Template](https://replit.com/@swyx/BasicChromaStarter?v=1) + +For those integrations we do have, like LangChain and LlamaIndex, we do always want more tutorials, demos, workshops, videos, and podcasts (we've done some pods [on our blog](https://trychroma.com/blog)). + +### Example Datasets + +It doesn’t make sense for developers to embed the same information over and over again with the same embedding model. + +We'd like suggestions for: + +- "small" (<100 rows) +- "medium" (<5MB) +- "large" (>1GB) + +datasets for people to stress test Chroma in a variety of scenarios. + +### Embeddings Comparison + +Chroma does ship with Sentence Transformers by default for embeddings, but we are otherwise unopinionated about what embeddings you use. Having a library of information that has been embedded with many models, alongside example query sets would make it much easier for empirical work to be done on the effectiveness of various models across different domains. + +- [Preliminary reading on Embeddings](https://towardsdatascience.com/neural-network-embeddings-explained-4d028e6f0526?gi=ee46baab0d8f) +- [Huggingface Benchmark of a bunch of Embeddings](https://huggingface.co/blog/mteb) +- [notable issues with GPT3 Embeddings](https://twitter.com/Nils_Reimers/status/1487014195568775173) and alternatives to consider + +### Experimental Algorithms + +If you have a research background, please consider adding to our `ExperimentalAPI`s. For example: + +- Projections (t-sne, UMAP, the new hotness, the one you just wrote) and Lightweight visualization +- Clustering (HDBSCAN, PCA) +- Deduplication +- Multimodal (CLIP) +- Fine-tuning manifold with human feedback [eg](https://github.com/openai/openai-cookbook/blob/main/examples/Customizing_embeddings.ipynb) +- Expanded vector search (MMR, Polytope) +- Your research + +You can find the REST OpenAPI spec at `localhost:8000/openapi.json` when the backend is running. + +Please [reach out](https://discord.gg/MMeYNTmh3x) and talk to us before you get too far in your projects so that we can offer technical guidance/align on roadmap. diff --git a/docs/docs.trychroma.com/markdoc/content/docs/overview/telemetry.md b/docs/docs.trychroma.com/markdoc/content/docs/overview/telemetry.md new file mode 100644 index 00000000000..c69cfae9d53 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/overview/telemetry.md @@ -0,0 +1,74 @@ +# Telemetry + +Chroma contains a telemetry feature that collects **anonymous** usage information. + +### Why? + +We use this information to help us understand how Chroma is used, to help us prioritize work on new features and bug fixes, and to help us improve Chroma’s performance and stability. + +### Opting out + +If you prefer to opt out of telemetry, you can do this in two ways. + +#### In Client Code + +{% MarkdocTabs %} + +{% Tab label="python" %} + +Set `anonymized_telemetry` to `False` in your client's settings: + +```python +from chromadb.config import Settings +client = chromadb.Client(Settings(anonymized_telemetry=False)) +# or if using PersistentClient +client = chromadb.PersistentClient(path="/path/to/save/to", settings=Settings(anonymized_telemetry=False)) +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +Disable telemetry on you Chroma server (see next section). + +{% /Tab %} + +{% /MarkdocTabs %} + +#### In Chroma's Backend Using Environment Variables + +Set `ANONYMIZED_TELEMETRY` to `False` in your shell or server environment. + +If you are running Chroma on your local computer with `docker-compose` you can set this value in an `.env` file placed in the same directory as the `docker-compose.yml` file: + +``` +ANONYMIZED_TELEMETRY=False +``` + +### What do you track? + +We will only track usage details that help us make product decisions, specifically: + +- Chroma version and environment details (e.g. OS, Python version, is it running in a container, or in a jupyter notebook) +- Usage of embedding functions that ship with Chroma and aggregated usage of custom embeddings (we collect no information about the custom embeddings themselves) +- Client interactions with our hosted Chroma Cloud service. +- Collection commands. We track the anonymized uuid of a collection as well as the number of items + - `add` + - `update` + - `query` + - `get` + - `delete` + +We **do not** collect personally-identifiable or sensitive information, such as: usernames, hostnames, file names, environment variables, or hostnames of systems being tested. + +To view the list of events we track, you may reference the **[code](https://github.com/chroma-core/chroma/blob/main/chromadb/telemetry/product/events.py)** + +### Where is telemetry information stored? + +We use **[Posthog](https://posthog.com/)** to store and visualize telemetry data. + +{% Banner type="tip" %} + +Posthog is an open source platform for product analytics. Learn more about Posthog on **[posthog.com](https://posthog.com/)** or **[github.com/posthog](https://github.com/posthog/posthog)** + +{% /Banner %} \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/docs/querying-collections/full-text-search.md b/docs/docs.trychroma.com/markdoc/content/docs/querying-collections/full-text-search.md new file mode 100644 index 00000000000..81a0b147cf8 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/querying-collections/full-text-search.md @@ -0,0 +1,43 @@ +# Full Text Search + +In order to filter on document contents, you must supply a `where_document` filter dictionary to the query. We support two filtering keys: `$contains` and `$not_contains`. The dictionary must have the following structure: + +```python +# Filtering for a search_string +{ + "$contains": "search_string" +} + +# Filtering for not contains +{ + "$not_contains": "search_string" +} +``` + +You can combine full-text search with Chroma's metadata filtering. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.query( + query_texts=["doc10", "thus spake zarathustra", ...], + n_results=10, + where={"metadata_field": "is_equal_to_this"}, + where_document={"$contains":"search_string"} +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.query({ + queryTexts: ["doc10", "thus spake zarathustra", ...], + nResults: 10, + where: {"metadata_field": "is_equal_to_this"}, + whereDocument: {"$contains": "search_string"} +}) +``` +{% /Tab %} + +{% /TabbedCodeBlock %} \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/docs/querying-collections/metadata-filtering.md b/docs/docs.trychroma.com/markdoc/content/docs/querying-collections/metadata-filtering.md new file mode 100644 index 00000000000..64fd2c062da --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/querying-collections/metadata-filtering.md @@ -0,0 +1,117 @@ +# Metadata Filtering + +Chroma supports filtering queries by `metadata` and `document` contents. The `where` filter is used to filter by `metadata`. + +In order to filter on metadata, you must supply a `where` filter dictionary to the query. The dictionary must have the following structure: + +```python +{ + "metadata_field": { + : + } +} +``` + +Filtering metadata supports the following operators: + +- `$eq` - equal to (string, int, float) +- `$ne` - not equal to (string, int, float) +- `$gt` - greater than (int, float) +- `$gte` - greater than or equal to (int, float) +- `$lt` - less than (int, float) +- `$lte` - less than or equal to (int, float) + +Using the `$eq` operator is equivalent to using the `where` filter. + +```python +{ + "metadata_field": "search_string" +} + +# is equivalent to + +{ + "metadata_field": { + "$eq": "search_string" + } +} +``` + +{% Banner type="note" %} +Where filters only search embeddings where the key exists. If you search `collection.get(where={"version": {"$ne": 1}})`. Metadata that does not have the key `version` will not be returned. +{% /Banner %} + +#### Using logical operators + +You can also use the logical operators `$and` and `$or` to combine multiple filters. + +An `$and` operator will return results that match all of the filters in the list. + +```python +{ + "$and": [ + { + "metadata_field": { + : + } + }, + { + "metadata_field": { + : + } + } + ] +} +``` + +An `$or` operator will return results that match any of the filters in the list. + +```python +{ + "$or": [ + { + "metadata_field": { + : + } + }, + { + "metadata_field": { + : + } + } + ] +} +``` + +#### Using inclusion operators (`$in` and `$nin`) + +The following inclusion operators are supported: + +- `$in` - a value is in predefined list (string, int, float, bool) +- `$nin` - a value is not in predefined list (string, int, float, bool) + +An `$in` operator will return results where the metadata attribute is part of a provided list: + +```json +{ + "metadata_field": { + "$in": ["value1", "value2", "value3"] + } +} +``` + +An `$nin` operator will return results where the metadata attribute is not part of a provided list: + +```json +{ + "metadata_field": { + "$nin": ["value1", "value2", "value3"] + } +} +``` + +{% Banner type="tip" %} + +For additional examples and a demo how to use the inclusion operators, please see provided notebook [here](https://github.com/chroma-core/chroma/blob/main/examples/basic_functionality/in_not_in_filtering.ipynb) + +{% /Banner %} \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/docs/querying-collections/query-and-get.md b/docs/docs.trychroma.com/markdoc/content/docs/querying-collections/query-and-get.md new file mode 100644 index 00000000000..55b06adb977 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/querying-collections/query-and-get.md @@ -0,0 +1,126 @@ +# Query and Get Data from Chroma Collections + +Chroma collections can be queried in a variety of ways, using the `.query` method. + +You can query by a set of `query embeddings`. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.query( + query_embeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], + n_results=10, + where={"metadata_field": "is_equal_to_this"}, + where_document={"$contains":"search_string"} +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +const result = await collection.query({ + queryEmbeddings: [[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], + nResults: 10, + where: {"metadata_field": "is_equal_to_this"}, +}) +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +The query will return the `n results` closest matches to each `query embedding`, in order. +An optional `where` filter dictionary can be supplied to filter by the `metadata` associated with each document. +Additionally, an optional `where document` filter dictionary can be supplied to filter by contents of the document. + +If the supplied `query embeddings` are not the same dimension as the collection, an exception will be raised. + +You can also query by a set of `query texts`. Chroma will first embed each `query text` with the collection's embedding function, and then perform the query with the generated embedding. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.query( + query_texts=["doc10", "thus spake zarathustra", ...], + n_results=10, + where={"metadata_field": "is_equal_to_this"}, + where_document={"$contains":"search_string"} +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.query({ + queryTexts: ["doc10", "thus spake zarathustra", ...], + nResults: 10, + where: {"metadata_field": "is_equal_to_this"}, + whereDocument: {"$contains": "search_string"} +}) +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +You can also retrieve items from a collection by `id` using `.get`. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +collection.get( + ids=["id1", "id2", "id3", ...], + where={"style": "style1"} +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await collection.get( { + ids: ["id1", "id2", "id3", ...], + where: {"style": "style1"} +}) +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +`.get` also supports the `where` and `where document` filters. If no `ids` are supplied, it will return all items in the collection that match the `where` and `where document` filters. + +### Choosing Which Data is Returned + +When using get or query you can use the `include` parameter to specify which data you want returned - any of `embeddings`, `documents`, `metadatas`, and for query, `distances`. By default, Chroma will return the `documents`, `metadatas` and in the case of query, the `distances` of the results. `embeddings` are excluded by default for performance and the `ids` are always returned. You can specify which of these you want returned by passing an array of included field names to the includes parameter of the query or get method. Note that embeddings will be returned as a 2-d numpy array in `.get` and a python list of 2-d numpy arrays in `.query`. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +# Only get documents and ids +collection.get( + include=["documents"] +) + +collection.query( + query_embeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], + include=["documents"] +) +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +// Only get documents and ids +await collection.get({ + include: ["documents"] +}) + +await collection.query({ + query_embeddings: [[11.1, 12.1, 13.1], [1.1, 2.3, 3.2], ...], + include: ["documents"] +}) +``` +{% /Tab %} + +{% /TabbedCodeBlock %} diff --git a/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/client-server.md b/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/client-server.md new file mode 100644 index 00000000000..b13d55aaff3 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/client-server.md @@ -0,0 +1,59 @@ +# Running Chroma in Client-Server Mode + +Chroma can also be configured to run in client/server mode. In this mode, the Chroma client connects to a Chroma server running in a separate process. + +To start the Chroma server, run the following command: + +```terminal +chroma run --path /db_path +``` + +{% MarkdocTabs %} + +{% Tab label="python" %} + +Then use the Chroma HTTP client to connect to the server: + +```python +import chromadb + +chroma_client = chromadb.HttpClient(host='localhost', port=8000) +``` + +That's it! Chroma's API will run in `client-server` mode with just this change. + +Chroma also provides an async HTTP client. The behaviors and method signatures are identical to the synchronous client, but all methods that would block are now async. To use it, call `AsyncHttpClient` instead: + +```python +import asyncio +import chromadb + +async def main(): + client = await chromadb.AsyncHttpClient() + + collection = await client.create_collection(name="my_collection") + await collection.add( + documents=["hello world"], + ids=["id1"] + ) + +asyncio.run(main()) +``` + +If you [deploy](../../production/deployment) your Chroma server, you can also use our [http-only](./python-http-client) package. + +{% /Tab %} + +{% Tab label="typescript" %} + +Then you can connect to it by instantiating a new `ChromaClient`: + +```typescript +import { ChromaClient } from "chromadb"; + +const client = new ChromaClient(); +``` + +{% /Tab %} + +{% /MarkdocTabs %} diff --git a/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/ephemeral-client.md b/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/ephemeral-client.md new file mode 100644 index 00000000000..5e5f9ed07ea --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/ephemeral-client.md @@ -0,0 +1,11 @@ +# Ephemeral Client + +In Python, you can run a Chroma server in-memory and connect to it with the ephemeral client: + +```python +import chromadb + +client = chromadb.Client() +``` + +This is a great tool for experimenting with different embedding functions and retrieval techniques in a Python notebook, for example. \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/persistent-client.md b/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/persistent-client.md new file mode 100644 index 00000000000..109b021c248 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/persistent-client.md @@ -0,0 +1,79 @@ +# Persistent Client + +{% MarkdocTabs %} + +{% Tab label="python" %} + +You can configure Chroma to save and load the database from your local machine, using the `PersistentClient`. + +Data will be persisted automatically and loaded on start (if it exists). + +```python +import chromadb + +client = chromadb.PersistentClient(path="/path/to/save/to") +``` + +The `path` is where Chroma will store its database files on disk, and load them on start. + +{% /Tab %} + +{% Tab label="typescript" %} + +To connect with the JS/TS client, you must connect to a Chroma server. + +To run a Chroma server locally that will persist your data, install Chroma via `pip`: + +```terminal +pip install chromadb +``` + +And run the server using our CLI: + +```terminal +chroma run --path ./getting-started +``` + +The `path` is where Chroma will store its database files on disk, and load them on start. + +Alternatively, you can also use our official Docker image: + +```terminal +docker pull chromadb/chroma +docker run -p 8000:8000 chromadb/chroma +``` + +With a Chroma server running locally, you can connect to it by instantiating a new `ChromaClient`: + +```typescript +import { ChromaClient } from "chromadb"; + +const client = new ChromaClient(); +``` + +See [Running Chroma in client-server mode](../client-server-mode) for more. + +{% /Tab %} + +{% /MarkdocTabs %} + +The client object has a few useful convenience methods. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +client.heartbeat() # returns a nanosecond heartbeat. Useful for making sure the client remains connected. +client.reset() # Empties and completely resets the database. ⚠️ This is destructive and not reversible. +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +await client.heartbeat(); // returns a nanosecond heartbeat. Useful for making sure the client remains connected. +await client.reset(); // Empties and completely resets the database. ⚠️ This is destructive and not reversible. +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + diff --git a/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/python-http-client.md b/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/python-http-client.md new file mode 100644 index 00000000000..6a49c455605 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/docs/run-chroma/python-http-client.md @@ -0,0 +1,21 @@ +# The Python HTTP-Only Client + +If you are running Chroma in client-server mode, you may not need the full Chroma library. Instead, you can use the lightweight client-only library. +In this case, you can install the `chromadb-client` package. This package is a lightweight HTTP client for the server with a minimal dependency footprint. + +```terminal +pip install chromadb-client +``` + +```python +import chromadb +# Example setup of the client to connect to your chroma server +client = chromadb.HttpClient(host='localhost', port=8000) + +# Or for async usage: +async def main(): + client = await chromadb.AsyncHttpClient(host='localhost', port=8000) +``` + +Note that the `chromadb-client` package is a subset of the full Chroma library and does not include all the dependencies. If you want to use the full Chroma library, you can install the `chromadb` package instead. +Most importantly, there is no default embedding function. If you add() documents without embeddings, you must have manually specified an embedding function and installed the dependencies for it. diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/chroma-integrations.md b/docs/docs.trychroma.com/markdoc/content/integrations/chroma-integrations.md new file mode 100644 index 00000000000..4068ab88d63 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/chroma-integrations.md @@ -0,0 +1,44 @@ +# Integrations + +### Embedding Integrations + +Embeddings are the A.I-native way to represent any kind of data, making them the perfect fit for working with all kinds of A.I-powered tools and algorithms. They can represent text, images, and soon audio and video. There are many options for creating embeddings, whether locally using an installed library, or by calling an API. + +Chroma provides lightweight wrappers around popular embedding providers, making it easy to use them in your apps. You can set an embedding function when you create a Chroma collection, which will be used automatically, or you can call them directly yourself. + +{% special_table %} +{% /special_table %} + +| | Python | Typescript | +|-------------------------------------------------------------------------|--|------------| +| [OpenAI](./embedding-models/openai) | ✓ | ✓ | +| [Google Gemini](./embedding-models/google-gemini) | ✓ | ✓ | +| [Cohere](./embedding-models/cohere) | ✓ | ✓ | +| [Hugging Face](./embedding-models/hugging-face) | ✓ | - | +| [Instructor](./embedding-models/instructor) | ✓ | - | +| [Hugging Face Embedding Server](./embedding-models/hugging-face-server) | ✓ | ✓ | +| [Jina AI](./embedding-models/jina-ai) | ✓ | ✓ | +| [Roboflow](./embedding-models/roboflow) | ✓ | - | +| [Ollama Embeddings](./embedding-models/ollama) | ✓ | ✓ | + + +*** + +### Framework Integrations + +Chroma maintains integrations with many popular tools. These tools can be used to define the business logic of an AI-native application, curate data, fine-tune embedding spaces and more. + +We welcome pull requests to add new Integrations to the community. + +{% special_table %} +{% /special_table %} + +| | Python | JS | +|---------------------------------------|----|--------------| +| [Langchain](./frameworks/langchain) | ✓ | ✓ | +| [LlamaIndex](./frameworks/llamaindex) | ✓ | ✓ | +| [Braintrust](./frameworks/braintrust) | ✓ | ✓ | +| [OpenLLMetry](./frameworks/openllmetry) | ✓ | Coming Soon! | +| [Streamlit](./frameworks/streamlit) | ✓ | - | +| [Haystack](./frameworks/haystack) | ✓ | - | +| [OpenLIT](./frameworks/openlit) | ✓ | Coming Soon! | diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/cohere.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/cohere.md new file mode 100644 index 00000000000..f177d674c2f --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/cohere.md @@ -0,0 +1,88 @@ +--- +id: 'cohere' +name: 'Cohere' +--- + +# Cohere + +Chroma also provides a convenient wrapper around Cohere's embedding API. This embedding function runs remotely on Cohere’s servers, and requires an API key. You can get an API key by signing up for an account at [Cohere](https://dashboard.cohere.ai/welcome/register). + +{% MarkdocTabs %} +{% Tab label="python" %} + +This embedding function relies on the `cohere` python package, which you can install with `pip install cohere`. + +```python +import chromadb.utils.embedding_functions as embedding_functions +cohere_ef = embedding_functions.CohereEmbeddingFunction(api_key="YOUR_API_KEY", model_name="large") +cohere_ef(texts=["document1","document2"]) +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { CohereEmbeddingFunction } from 'chromadb'; + +const embedder = new CohereEmbeddingFunction("apiKey") + +// use directly +const embeddings = embedder.generate(["document1","document2"]) + +// pass documents to query for .add and .query +const collection = await client.createCollection({name: "name", embeddingFunction: embedder}) +const collectionGet = await client.getCollection({name:"name", embeddingFunction: embedder}) +``` + +{% /Tab %} + +{% /MarkdocTabs %} + +You can pass in an optional `model_name` argument, which lets you choose which Cohere embeddings model to use. By default, Chroma uses `large` model. You can see the available models under `Get embeddings` section [here](https://docs.cohere.ai/reference/embed). + +### Multilingual model example + +{% TabbedCodeBlock %} + +{% Tab label="python" %} + +```python +cohere_ef = embedding_functions.CohereEmbeddingFunction( + api_key="YOUR_API_KEY", + model_name="multilingual-22-12") + +multilingual_texts = [ 'Hello from Cohere!', 'مرحبًا من كوهير!', + 'Hallo von Cohere!', 'Bonjour de Cohere!', + '¡Hola desde Cohere!', 'Olá do Cohere!', + 'Ciao da Cohere!', '您好,来自 Cohere!', + 'कोहिअर से नमस्ते!' ] + +cohere_ef(texts=multilingual_texts) + +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { CohereEmbeddingFunction } from 'chromadb'; + +const embedder = new CohereEmbeddingFunction("apiKey") + +multilingual_texts = [ 'Hello from Cohere!', 'مرحبًا من كوهير!', + 'Hallo von Cohere!', 'Bonjour de Cohere!', + '¡Hola desde Cohere!', 'Olá do Cohere!', + 'Ciao da Cohere!', '您好,来自 Cohere!', + 'कोहिअर से नमस्ते!' ] + +const embeddings = embedder.generate(multilingual_texts) + +``` + +{% /Tab %} + +{% /TabbedCodeBlock %} + +For more information on multilingual model you can read [here](https://docs.cohere.ai/docs/multilingual-language-models). diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/google-gemini.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/google-gemini.md new file mode 100644 index 00000000000..da73103ab89 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/google-gemini.md @@ -0,0 +1,67 @@ +--- +id: google-gemini +name: "Google Gemini" +--- + +# Google Gemini + +Chroma provides a convenient wrapper around Google's Generative AI embedding API. This embedding function runs remotely on Google's servers, and requires an API key. + +You can get an API key by signing up for an account at [Google MakerSuite](https://makersuite.google.com/). + +{% MarkdocTabs %} + +{% Tab label="python" %} + +This embedding function relies on the `google-generativeai` python package, which you can install with `pip install google-generativeai`. + +```python +# import +import chromadb.utils.embedding_functions as embedding_functions + +# use directly +google_ef = embedding_functions.GoogleGenerativeAiEmbeddingFunction(api_key="YOUR_API_KEY") +google_ef(["document1","document2"]) + +# pass documents to query for .add and .query +collection = client.create_collection(name="name", embedding_function=google_ef) +collection = client.get_collection(name="name", embedding_function=google_ef) +``` + +You can view a more [complete example](https://github.com/chroma-core/chroma/tree/main/examples/gemini) chatting over documents with Gemini embedding and langauge models. + +For more info - please visit the [official Google python docs](https://ai.google.dev/tutorials/python_quickstart). + +{% /Tab %} + +{% Tab label="typescript" %} + +This embedding function relies on the `@google/generative-ai` npm package, which you can install with e.g. `npm install @google/generative-ai`. + +```typescript +import { ChromaClient, GoogleGenerativeAiEmbeddingFunction } from "chromadb"; +const embedder = new GoogleGenerativeAiEmbeddingFunction({ + googleApiKey: "", +}); + +// use directly +const embeddings = await embedder.generate(["document1", "document2"]); + +// pass documents to query for .add and .query +const collection = await client.createCollection({ + name: "name", + embeddingFunction: embedder, +}); +const collectionGet = await client.getCollection({ + name: "name", + embeddingFunction: embedder, +}); +``` + +You can view a more [complete example using Node](https://github.com/chroma-core/chroma/blob/main/clients/js/examples/node/app.js). + +For more info - please visit the [official Google JS docs](https://ai.google.dev/tutorials/node_quickstart). + +{% /Tab %} + +{% /MarkdocTabs %} diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/hugging-face-server.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/hugging-face-server.md new file mode 100644 index 00000000000..beb40f4fcd7 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/hugging-face-server.md @@ -0,0 +1,59 @@ +--- +id: hugging-face-server +name: 'Hugging Face Server' +--- + +# Hugging Face Server + +Chroma provides a convenient wrapper for HuggingFace Text Embedding Server, a standalone server that provides text embeddings via a REST API. You can read more about it [**here**](https://github.com/huggingface/text-embeddings-inference). + +## Setting Up The Server + +To run the embedding server locally you can run the following command from the root of the Chroma repository. The docker compose command will run Chroma and the embedding server together. + +```terminal +docker compose -f examples/server_side_embeddings/huggingface/docker-compose.yml up -d +``` + +or + +```terminal +docker run -p 8001:80 -d -rm --name huggingface-embedding-server ghcr.io/huggingface/text-embeddings-inference:cpu-0.3.0 --model-id BAAI/bge-small-en-v1.5 --revision -main +``` + +{% Banner type="note" %} +The above docker command will run the server with the `BAAI/bge-small-en-v1.5` model. You can find more information about running the server in docker [**here**](https://github.com/huggingface/text-embeddings-inference#docker). +{% /Banner %} + +## Usage + +{% TabbedCodeBlock %} + +{% Tab label="python" %} + +```python +from chromadb.utils.embedding_functions import HuggingFaceEmbeddingServer +huggingface_ef = HuggingFaceEmbeddingServer(url="http://localhost:8001/embed") +``` + +{% /Tab %} + +{% Tab label="typescript" %} + + +```typescript +import {HuggingFaceEmbeddingServerFunction} from 'chromadb'; +const embedder = new HuggingFaceEmbeddingServerFunction({url:"http://localhost:8001/embed"}) + +// use directly +const embeddings = embedder.generate(["document1","document2"]) + +// pass documents to query for .add and .query +let collection = await client.createCollection({name: "name", embeddingFunction: embedder}) +collection = await client.getCollection({name: "name", embeddingFunction: embedder}) +``` + +{% /Tab %} +{% /TabbedCodeBlock %} + +The embedding model is configured on the server side. Check the docker-compose file in `examples/server_side_embeddings/huggingface/docker-compose.yml` for an example of how to configure the server. diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/hugging-face.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/hugging-face.md new file mode 100644 index 00000000000..5a5cba53dbe --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/hugging-face.md @@ -0,0 +1,22 @@ +--- +id: hugging-face +name: Hugging Face +--- + +# Hugging Face + +Chroma also provides a convenient wrapper around HuggingFace's embedding API. This embedding function runs remotely on HuggingFace's servers, and requires an API key. You can get an API key by signing up for an account at [HuggingFace](https://huggingface.co/). + +{% tabs group="code-lang" hideTabs=true %} +{% tab label="Python" %} + +```python +import chromadb.utils.embedding_functions as embedding_functions +huggingface_ef = embedding_functions.HuggingFaceEmbeddingFunction( + api_key="YOUR_API_KEY", + model_name="sentence-transformers/all-MiniLM-L6-v2" +) +``` + +You can pass in an optional `model_name` argument, which lets you choose which HuggingFace model to use. By default, Chroma uses `sentence-transformers/all-MiniLM-L6-v2`. You can see a list of all available models [here](https://huggingface.co/models). + diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/instructor.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/instructor.md new file mode 100644 index 00000000000..2b6ebf3c282 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/instructor.md @@ -0,0 +1,23 @@ +--- +id: instructor +name: Instructor +--- + +# Instructor + +The [instructor-embeddings](https://github.com/HKUNLP/instructor-embedding) library is another option, especially when running on a machine with a cuda-capable GPU. They are a good local alternative to OpenAI (see the [Massive Text Embedding Benchmark](https://huggingface.co/blog/mteb) rankings). The embedding function requires the InstructorEmbedding package. To install it, run ```pip install InstructorEmbedding```. + +There are three models available. The default is `hkunlp/instructor-base`, and for better performance you can use `hkunlp/instructor-large` or `hkunlp/instructor-xl`. You can also specify whether to use `cpu` (default) or `cuda`. For example: + +```python +#uses base model and cpu +import chromadb.utils.embedding_functions as embedding_functions +ef = embedding_functions.InstructorEmbeddingFunction() +``` +or +```python +import chromadb.utils.embedding_functions as embedding_functions +ef = embedding_functions.InstructorEmbeddingFunction( +model_name="hkunlp/instructor-xl", device="cuda") +``` +Keep in mind that the large and xl models are 1.5GB and 5GB respectively, and are best suited to running on a GPU. diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/jina-ai.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/jina-ai.md new file mode 100644 index 00000000000..ac24c397aa9 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/jina-ai.md @@ -0,0 +1,47 @@ +--- +id: jina-ai +name: Jina AI +--- + +# JinaAI + +Chroma provides a convenient wrapper around JinaAI's embedding API. This embedding function runs remotely on JinaAI's servers, and requires an API key. You can get an API key by signing up for an account at [JinaAI](https://jina.ai/embeddings/). + +{% TabbedCodeBlock %} + +{% Tab label="python" %} + +```python +import chromadb.utils.embedding_functions as embedding_functions +jinaai_ef = embedding_functions.JinaEmbeddingFunction( + api_key="YOUR_API_KEY", + model_name="jina-embeddings-v2-base-en" + ) +jinaai_ef(input=["This is my first text to embed", "This is my second document"]) +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { JinaEmbeddingFunction } from 'chromadb'; + +const embedder = new JinaEmbeddingFunction({ + jinaai_api_key: 'jina_****', + model_name: 'jina-embeddings-v2-base-en', +}); + +// use directly +const embeddings = embedder.generate(['document1', 'document2']); + +// pass documents to query for .add and .query +const collection = await client.createCollection({name: "name", embeddingFunction: embedder}) +const collectionGet = await client.getCollection({name:"name", embeddingFunction: embedder}) +``` + +{% /Tab %} + +{% /TabbedCodeBlock %} + +You can pass in an optional `model_name` argument, which lets you choose which Jina model to use. By default, Chroma uses `jina-embedding-v2-base-en`. diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/ollama.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/ollama.md new file mode 100644 index 00000000000..1a00397f28f --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/ollama.md @@ -0,0 +1,56 @@ +--- +id: ollama +name: Ollama +--- + +# Ollama + +Chroma provides a convenient wrapper around [Ollama](https://github.com/ollama/ollama)' +s [embeddings API](https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings). You can use +the `OllamaEmbeddingFunction` embedding function to generate embeddings for your documents with +a [model](https://github.com/ollama/ollama?tab=readme-ov-file#model-library) of your choice. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} + +```python +import chromadb.utils.embedding_functions as embedding_functions + +ollama_ef = embedding_functions.OllamaEmbeddingFunction( + url="http://localhost:11434/api/embeddings", + model_name="llama2", +) + +embeddings = ollama_ef(["This is my first text to embed", + "This is my second document"]) +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { OllamaEmbeddingFunction } from "chromadb"; +const embedder = new OllamaEmbeddingFunction({ + url: "http://127.0.0.1:11434/api/embeddings", + model: "llama2" +}) + +// use directly +const embeddings = embedder.generate(["document1", "document2"]) + +// pass documents to query for .add and .query +let collection = await client.createCollection({ + name: "name", + embeddingFunction: embedder +}) +collection = await client.getCollection({ + name: "name", + embeddingFunction: embedder +}) +``` + +{% /Tab %} + +{% /TabbedCodeBlock %} diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/openai.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/openai.md new file mode 100644 index 00000000000..183d0e618af --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/openai.md @@ -0,0 +1,78 @@ +--- +name: OpenAI +id: openai +--- + +# OpenAI + +Chroma provides a convenient wrapper around OpenAI's embedding API. This embedding function runs remotely on OpenAI's servers, and requires an API key. You can get an API key by signing up for an account at [OpenAI](https://openai.com/api/). + +The following OpenAI Embedding Models are supported: + +- `text-embedding-ada-002` +- `text-embedding-3-small` +- `text-embedding-3-large` + +{% Banner type="tip" %} +Visit OpenAI Embeddings [documentation](https://platform.openai.com/docs/guides/embeddings) for more information. +{% /Banner %} + +{% MarkdocTabs %} + +{% Tab label="python" %} + +This embedding function relies on the `openai` python package, which you can install with `pip install openai`. + +You can pass in an optional `model_name` argument, which lets you choose which OpenAI embeddings model to use. By default, Chroma uses `text-embedding-ada-002`. + +```python +import chromadb.utils.embedding_functions as embedding_functions +openai_ef = embedding_functions.OpenAIEmbeddingFunction( + api_key="YOUR_API_KEY", + model_name="text-embedding-3-small" + ) +``` + +To use the OpenAI embedding models on other platforms such as Azure, you can use the `api_base` and `api_type` parameters: +```python +import chromadb.utils.embedding_functions as embedding_functions +openai_ef = embedding_functions.OpenAIEmbeddingFunction( + api_key="YOUR_API_KEY", + api_base="YOUR_API_BASE_PATH", + api_type="azure", + api_version="YOUR_API_VERSION", + model_name="text-embedding-3-small" + ) +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +You can pass in an optional `model` argument, which lets you choose which OpenAI embeddings model to use. By default, Chroma uses `text-embedding-ada-002`. + +```typescript +import { OpenAIEmbeddingFunction } from 'chromadb'; + +const embeddingFunction = new OpenAIEmbeddingFunction({ + openai_api_key: "apiKey", + model: "text-embedding-3-small" +}) + +// use directly +const embeddings = embeddingFunction.generate(["document1","document2"]) + +// pass documents to query for .add and .query +let collection = await client.createCollection({ + name: "name", + embeddingFunction: embeddingFunction +}) +collection = await client.getCollection({ + name: "name", + embeddingFunction: embeddingFunction +}) +``` + +{% /Tab %} + +{% /MarkdocTabs %} diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/roboflow.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/roboflow.md new file mode 100644 index 00000000000..9236fc476d8 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/roboflow.md @@ -0,0 +1,68 @@ +--- +id: 'roboflow' +name: Roboflow +--- + +# Roboflow + +You can use [Roboflow Inference](https://inference.roboflow.com) with Chroma to calculate multi-modal text and image embeddings with CLIP. through the `RoboflowEmbeddingFunction` class. Inference can be used through the Roboflow cloud, or run on your hardware. + +## Roboflow Cloud Inference + +To run Inference through the Roboflow cloud, you will need an API key. [Learn how to retrieve a Roboflow API key](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key). + +You can pass it directly on creation of the `RoboflowEmbeddingFunction`: + +```python +from chromadb.utils.embedding_functions import RoboflowEmbeddingFunction + +roboflow_ef = RoboflowEmbeddingFunction(api_key=API_KEY) +``` + +Alternatively, you can set your API key as an environment variable: + +```terminal +export ROBOFLOW_API_KEY=YOUR_API_KEY +``` + +Then, you can create the `RoboflowEmbeddingFunction` without passing an API key directly: + +```python +from chromadb.utils.embedding_functions import RoboflowEmbeddingFunction + +roboflow_ef = RoboflowEmbeddingFunction() +``` + +## Local Inference + +You can run Inference on your own hardware. + +To install Inference, you will need Docker installed. Follow the [official Docker installation instructions](https://docs.docker.com/engine/install/) for guidance on how to install Docker on the device on which you are working. + +Then, you can install Inference with pip: + +```terminal +pip install inference inference-cli +``` + +With Inference installed, you can start an Inference server. This server will run in the background. The server will accept HTTP requests from the `RoboflowEmbeddingFunction` to calculate CLIP text and image embeddings for use in your application: + +To start an Inference server, run: + +```terminal +inference server start +``` + +Your Inference server will run at `http://localhost:9001`. + +Then, you can create the `RoboflowEmbeddingFunction`: + +```python +from chromadb.utils.embedding_functions import RoboflowEmbeddingFunction + +roboflow_ef = RoboflowEmbeddingFunction(api_key=API_KEY, server_url="http://localhost:9001") +``` + +This function will calculate embeddings using your local Inference server instead of the Roboflow cloud. + +For a full tutorial on using Roboflow Inference with Chroma, refer to the [Roboflow Chroma integration tutorial](https://github.com/chroma-core/chroma/blob/main/examples/use_with/roboflow/embeddings.ipynb). diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/braintrust.md b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/braintrust.md new file mode 100644 index 00000000000..3c846b5ff7a --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/braintrust.md @@ -0,0 +1,63 @@ +--- +id: braintrust +name: Braintrust +--- + +# Braintrust + +[Braintrust](https://www.braintrustdata.com) is an enterprise-grade stack for building AI products including: evaluations, prompt playground, dataset management, tracing, etc. + +Braintrust provides a Typescript and Python library to run and log evaluations and integrates well with Chroma. + +- [Tutorial: Evaluate Chroma Retrieval app w/ Braintrust](https://www.braintrustdata.com/docs/examples/rag) + +Example evaluation script in Python: +(refer to the tutorial above to get the full implementation) +```python +from autoevals.llm import * +from braintrust import Eval + +PROJECT_NAME="Chroma_Eval" + +from openai import OpenAI + +client = OpenAI() +leven_evaluator = LevenshteinScorer() + +async def pipeline_a(input, hooks=None): + # Get a relevant fact from Chroma + relevant = collection.query( + query_texts=[input], + n_results=1, + ) + relevant_text = ','.join(relevant["documents"][0]) + prompt = """ + You are an assistant called BT. Help the user. + Relevant information: {relevant} + Question: {question} + Answer: + """.format(question=input, relevant=relevant_text) + messages = [{"role": "system", "content": prompt}] + response = client.chat.completions.create( + model="gpt-3.5-turbo", + messages=messages, + temperature=0, + max_tokens=100, + ) + + result = response.choices[0].message.content + return result + +# Run an evaluation and log to Braintrust +await Eval( + PROJECT_NAME, + # define your test cases + data = lambda:[{"input": "What is my eye color?", "expected": "Brown"}], + # define your retrieval pipeline w/ Chroma above + task = pipeline_a, + # use a prebuilt scoring function or define your own :) + scores=[leven_evaluator], +) +``` + +Learn more: [docs](https://www.braintrustdata.com/docs). diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/haystack.md b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/haystack.md new file mode 100644 index 00000000000..04718db34fc --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/haystack.md @@ -0,0 +1,83 @@ +--- +id: haystack +name: Haystack +--- + +# Haystack + +[Haystack](https://github.com/deepset-ai/haystack) is an open-source LLM framework in Python. It provides [embedders](https://docs.haystack.deepset.ai/v2.0/docs/embedders), [generators](https://docs.haystack.deepset.ai/v2.0/docs/generators) and [rankers](https://docs.haystack.deepset.ai/v2.0/docs/rankers) via a number of LLM providers, tooling for [preprocessing](https://docs.haystack.deepset.ai/v2.0/docs/preprocessors) and data preparation, connectors to a number of vector databases including Chroma and more. Haystack allows you to build custom LLM applications using both components readily available in Haystack and [custom components](https://docs.haystack.deepset.ai/v2.0/docs/custom-components). Some of the most common applications you can build with Haystack are retrieval-augmented generation pipelines (RAG), question-answering and semantic search. + +![](https://img.shields.io/github/stars/deepset-ai/haystack.svg?style=social&label=Star&maxAge=2400) + +|[Docs](https://docs.haystack.deepset.ai/v2.0/docs) | [Github](https://github.com/deepset-ai/haystack) | [Haystack Integrations](https://haystack.deepset.ai/integrations) | [Tutorials](https://haystack.deepset.ai/tutorials) | + +You can use Chroma together with Haystack by installing the integration and using the `ChromaDocumentStore` + +### Installation + +```terminal +pip install chroma-haystack +``` + +### Usage + +- The [Chroma Integration page](https://haystack.deepset.ai/integrations/chroma-documentstore) +- [Chroma + Haystack Example](https://colab.research.google.com/drive/1YpDetI8BRbObPDEVdfqUcwhEX9UUXP-m?usp=sharing) + +#### Write documents into a ChromaDocumentStore + +```python +import os +from pathlib import Path + +from haystack import Pipeline +from haystack.components.converters import TextFileToDocument +from haystack.components.writers import DocumentWriter +from chroma_haystack import ChromaDocumentStore + +file_paths = ["data" / Path(name) for name in os.listdir("data")] + +document_store = ChromaDocumentStore() + +indexing = Pipeline() +indexing.add_component("converter", TextFileToDocument()) +indexing.add_component("writer", DocumentWriter(document_store)) + +indexing.connect("converter", "writer") +indexing.run({"converter": {"sources": file_paths}}) +``` + +#### Build RAG on top of Chroma + +```python +from chroma_haystack.retriever import ChromaQueryRetriever +from haystack.components.generators import HuggingFaceTGIGenerator +from haystack.components.builders import PromptBuilder + +prompt = """ +Answer the query based on the provided context. +If the context does not contain the answer, say 'Answer not found'. +Context: +{% for doc in documents %} + {{ doc.content }} +{% endfor %} +query: {{query}} +Answer: +""" +prompt_builder = PromptBuilder(template=prompt) + +llm = HuggingFaceTGIGenerator(model="mistralai/Mixtral-8x7B-Instruct-v0.1", token='YOUR_HF_TOKEN') +llm.warm_up() +retriever = ChromaQueryRetriever(document_store) + +querying = Pipeline() +querying.add_component("retriever", retriever) +querying.add_component("prompt_builder", prompt_builder) +querying.add_component("llm", llm) + +querying.connect("retriever.documents", "prompt_builder.documents") +querying.connect("prompt_builder", "llm") + +results = querying.run({"retriever": {"queries": [query], "top_k": 3}, + "prompt_builder": {"query": query}}) +``` diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/langchain.md b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/langchain.md new file mode 100644 index 00000000000..736ebfc9f87 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/langchain.md @@ -0,0 +1,22 @@ +--- +id: langchain +name: Langchain +--- + +# Langchain + +## Langchain - Python + +- [LangChain + Chroma](https://blog.langchain.dev/langchain-chroma/) on the LangChain blog +- [Harrison's `chroma-langchain` demo repo](https://github.com/hwchase17/chroma-langchain) + - [question answering over documents](https://github.com/hwchase17/chroma-langchain/blob/master/qa.ipynb) - ([Replit version](https://replit.com/@swyx/LangChainChromaStarter#main.py)) + - [to use Chroma as a persistent database](https://github.com/hwchase17/chroma-langchain/blob/master/persistent-qa.ipynb) +- Tutorials + - [Chroma and LangChain tutorial](https://github.com/grumpyp/chroma-langchain-tutorial) - The demo showcases how to pull data from the English Wikipedia using their API. The project also demonstrates how to vectorize data in chunks and get embeddings using OpenAI embeddings model. + - [Create a Voice-based ChatGPT Clone That Can Search on the Internet and local files](https://betterprogramming.pub/how-to-create-a-voice-based-chatgpt-clone-that-can-search-on-the-internet-24d7f570ea8) +- [LangChain's Chroma Documentation](https://python.langchain.com/docs/integrations/vectorstores/chroma) + + +## Langchain - JS + +- [LangChainJS Chroma Documentation](https://js.langchain.com/docs/modules/indexes/vector_stores/integrations/chroma) diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/llamaindex.md b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/llamaindex.md new file mode 100644 index 00000000000..529f838f31b --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/llamaindex.md @@ -0,0 +1,10 @@ +--- +id: llamaindex +name: LlamaIndex +--- + +# LlamaIndex + +- `LlamaIndex` [Vector Store page](https://docs.llamaindex.ai/en/stable/examples/vector_stores/ChromaIndexDemo.html) +- [Demo](https://github.com/jerryjliu/llama_index/blob/main/docs/examples/vector_stores/ChromaIndexDemo.ipynb) +- [Chroma Loader on Llamahub](https://llamahub.ai/l/chroma) diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/openlit.md b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/openlit.md new file mode 100644 index 00000000000..3d493beee09 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/openlit.md @@ -0,0 +1,49 @@ +--- +id: openlit +name: OpenLIT +--- + +# OpenLIT + +[OpenLIT](https://github.com/openlit/openlit) is an OpenTelemetry-native LLM Application Observability tool and includes OpenTelemetry auto-instrumention for Chroma with just a single line of code helping you ensure your applications are monitored seamlessly, providing critical insights to improve performance, operations and reliability. + +For more information on how to use OpenLIT, see the [OpenLIT docs](https://docs.openlit.io/). + +## Getting Started + +### Step 1: Install OpenLIT + +Open your command line or terminal and run: + +```bash +pip install openlit +``` + +### Step 2: Initialize OpenLIT in your Application +Integrating OpenLIT into LLM applications is straightforward. Start monitoring for your LLM Application with just **two lines of code**: + +```python +import openlit + +openlit.init() +``` + +To forward telemetry data to an HTTP OTLP endpoint, such as the OpenTelemetry Collector, set the `otlp_endpoint` parameter with the desired endpoint. Alternatively, you can configure the endpoint by setting the `OTEL_EXPORTER_OTLP_ENDPOINT` environment variable as recommended in the OpenTelemetry documentation. + +> 💡 Info: If you don't provide `otlp_endpoint` function argument or set the `OTEL_EXPORTER_OTLP_ENDPOINT` environment variable, OpenLIT directs the trace directly to your console, which can be useful during development. +To send telemetry to OpenTelemetry backends requiring authentication, set the `otlp_headers` parameter with its desired value. Alternatively, you can configure the endpoint by setting the `OTEL_EXPORTER_OTLP_HEADERS` environment variable as recommended in the OpenTelemetry documentation. + +### Step 3: Visualize and Optimize! + +![](https://github.com/openlit/.github/blob/main/profile/assets/openlit-client-1.png?raw=true) + +With the LLM Observability data now being collected by OpenLIT, the next step is to visualize and analyze this data to get insights into your LLM application’s performance, behavior, and identify areas of improvement. + +To begin exploring your LLM Application's performance data within the OpenLIT UI, please see the [Quickstart Guide](https://docs.openlit.io/latest/quickstart). + +If you want to integrate and send metrics and traces to your existing observability tools like Promethues+Jaeger, Grafana or more, refer to the [Official Documentation for OpenLIT Connections](https://docs.openlit.io/latest/connections/intro) for detailed instructions. + + +## Support + +For any question or issue with integration you can reach out to the OpenLIT team on [Slack](https://join.slack.com/t/openlit/shared_invite/zt-2etnfttwg-TjP_7BZXfYg84oAukY8QRQ) or via [email](mailto:contact@openlit.io). diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/openllmetry.md b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/openllmetry.md new file mode 100644 index 00000000000..cd4c5da3e76 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/openllmetry.md @@ -0,0 +1,32 @@ +--- +id: openLLMetry +name: OpenLLMetry +--- + +# OpenLLMetry + +[OpenLLMetry](https://www.traceloop.com/openllmetry) provides observability for systems using Chroma. It allows tracing calls to Chroma, OpenAI, and other services. +It gives visibility to query and index calls as well as LLM prompts and completions. +For more information on how to use OpenLLMetry, see the [OpenLLMetry docs](https://www.traceloop.com/docs/openllmetry). + +![](/openllmetry.png) + +### Example + +Install OpenLLMetry SDK by running: + +```terminal +pip install traceloop-sdk +``` + +Then, initialize the SDK in your application: + +```python +from traceloop.sdk import Traceloop + +Traceloop.init() +``` + +### Configuration + +OpenLLMetry can be configured to send traces to any observability platform that supports OpenTelemetry - Datadog, Honeycomb, Dynatrace, New Relic, etc. See the [OpenLLMetry docs](https://www.traceloop.com/openllmetry/provider/chroma) for more information. diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/streamlit.md b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/streamlit.md new file mode 100644 index 00000000000..30b2b60fea2 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/integrations/frameworks/streamlit.md @@ -0,0 +1,71 @@ +--- +id: streamlit +name: Streamlit +--- + +# Streamlit + +Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. In just a few minutes you can build and deploy powerful data apps. + +![](https://img.shields.io/github/stars/streamlit/streamlit.svg?style=social&label=Star&maxAge=2400) + +[Apache 2.0 License](https://github.com/streamlit/streamlit/blob/develop/LICENSE)  • [Site](https://streamlit.io/) + +{% special_table %} +{% /special_table %} + +| Languages | Docs | Github | +|--|--|--| +| Python | [Docs](https://docs.streamlit.io/) | [Code](https://github.com/streamlit/streamlit) + +### Install + +Install Streamlit: {% br %}{% /br %} +`pip install streamlit` + +Install `streamlit-chromadb-connection`, which connects your Streamlit app to Chroma through [`st.connection`](https://docs.streamlit.io/1.11.0/library/api-reference/connections/st.connection): {% br %}{% /br %} +`pip install streamlit-chromadb-connection` + +### Main Benefits + +- Easy to get started with Streamlit's straightforward syntax +- Built-in [chatbot functionality](https://docs.streamlit.io/library/api-reference/chat) +- Pre-built integration with Chroma via `streamlit-chromadb-connection` +- Deploy apps for free on [Streamlit Community Cloud](https://share.streamlit.io/) + +### Simple Example + +#### Python + +```python +import streamlit as st +from streamlit_chromadb_connection.chromadb_connection import ChromadbConnection + +configuration = { + "client": "PersistentClient", + "path": "/tmp/.chroma" +} + +collection_name = "documents_collection" + +conn = st.connection("chromadb", + type=ChromaDBConnection, + **configuration) +documents_collection_df = conn.get_collection_data(collection_name) +st.dataframe(documents_collection_df) +``` + +### Resources + +- [Instructions for using `streamlit-chromadb-connection` to connect your Streamlit app to Chroma](https://github.com/Dev317/streamlit_chromadb_connection/blob/main/README.md) +- [Demo app for `streamlit-chromadb-connection`](https://app-chromadbconnection-mfzxl3nzozmaxh3mrkd6zm.streamlit.app/) +- [Streamlit's `st.connection` documentation](https://docs.streamlit.io/library/api-reference/connections/st.connection) +- [Guide to using vector databases with Streamlit](https://pub.towardsai.net/vector-databases-for-your-streamlit-ai-apps-56cd0af7bbba) + +#### Tutorials + +- [Build an "Ask the Doc" app using Chroma, Streamlit, and LangChain](https://blog.streamlit.io/langchain-tutorial-4-build-an-ask-the-doc-app/) +- [Summarize documents with Chroma, Streamlit, and LangChain](https://alphasec.io/summarize-documents-with-langchain-and-chroma/) +- [Build a custom chatbot with Chroma, Streamlit, and LangChain](https://blog.streamlit.io/how-in-app-feedback-can-increase-your-chatbots-performance/) +- [Build a RAG bot using Chroma, Streamlit, and LangChain](https://levelup.gitconnected.com/building-a-generative-ai-app-with-streamlit-and-openai-95ec31fe8efd) +- [Build a PDF QA chatbot with Chroma, Streamlit, and OpenAI](https://www.confident-ai.com/blog/how-to-build-a-pdf-qa-chatbot-using-openai-and-chromadb) diff --git a/docs/docs.trychroma.com/markdoc/content/production/administration/auth.md b/docs/docs.trychroma.com/markdoc/content/production/administration/auth.md new file mode 100644 index 00000000000..00238e78163 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/administration/auth.md @@ -0,0 +1,209 @@ +# Auth + +You can configure Chroma to use authentication when in server/client mode only. + +Supported authentication methods: + + +| Authentication Method | Basic Auth (Pre-emptive) | Static API Token | +| --------------------- | ------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------- | +| Description | [RFC 7617](https://www.rfc-editor.org/rfc/rfc7617) Basic Auth with `user:password` base64-encoded `Authorization` header. | Static auth token in `Authorization: Bearer ` or in `X-Chroma-Token: ` headers. | +| Status | `Alpha` | `Alpha` | +| Server-Side Support | ✅ `Alpha` | ✅ `Alpha` | +| Client/Python | ✅ `Alpha` | ✅ `Alpha` | +| Client/JS | ✅ `Alpha` | ✅ `Alpha` | + +*** + +In this guide we will add authentication to a simple Chroma server running locally using our CLI: + +```terminal +chroma run --path +``` + +We also have dedicated auth guides for various deployments: +* [Docker](../containers/docker#authentication-with-docker) +* [AWS](../cloud-providers/aws#authentication-with-AWS) +* [GCP](../cloud-providers/gcp#authentication-with-GCP) +* [Azure](../cloud-providers/azure#authentication-with-Azure) + +### Encrypted User:Password Authentication + +#### Server Set-Up + +##### Generate Server-Side Credentials + +{% Banner type="note" %} + +**Security Practices** + +A good security practice is to store the password securely. In the example below we use [bcrypt](https://en.wikipedia.org/wiki/Bcrypt) (currently the only supported hash in Chroma server side auth) to hash the plaintext password. If you'd like to see support for additional hash functions, feel free to [contribute](../contributing) new ones! + +{% /Banner %} + +To generate the password hash, run the following command (you may need to install `httpasswd`): + +```terminal +htpasswd -Bbn admin admin > server.htpasswd +``` + +This creates the bcrypt password hash for the password `admin`, for the `admin` user, and puts it into `server.htpasswd` in your current working directory. It will look like `admin:`. + +##### Running the Server + +Set the following environment variables: + +```terminal +export CHROMA_SERVER_AUTHN_CREDENTIALS_FILE="" +export CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.basic_authn.BasicAuthenticationServerProvider" +``` + +And run the Chroma server: + +```terminal +chroma run --path +``` + +#### Client Set-Up + +{% MarkdocTabs %} + +{% Tab label="python" %} + +We will use Chroma's `Settings` object to define the authentication method on the client. + +```python +import chromadb +from chromadb.config import Settings + +client = chromadb.HttpClient( + host="localhost", + port=8000, + settings=Settings( + chroma_client_auth_provider="chromadb.auth.basic_authn.BasicAuthClientProvider", + chroma_client_auth_credentials="admin:admin" + ) +) + +chroma_client.heartbeat() +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "http://localhost:8000", + auth: { + provider: "basic", + credentials: "admin:admin" + } +}) + +chromaClient.heartbeat() +``` + +{% /Tab %} + +{% /MarkdocTabs %} + +We recommend setting the environment variable `CHROMA_CLIENT_AUTH_CREDENTIALS` instead of specifying the credentials in code. + +### Static API Token Authentication + +#### Server Set-Up + +{% Banner type="note" %} + +**Security Note** + +Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. + +{% /Banner %} + +If, for example, you want the static API token to be "test-token", set the following environment variables. This will set `Authorization: Bearer test-token` as your authentication header. + +```terminal +export CHROMA_SERVER_AUTHN_CREDENTIALS="test-token" +export CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" +``` + +To use `X-Chroma-Token: test-token` type of authentication header you can set the `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` environment variable: + +```terminal +export CHROMA_SERVER_AUTHN_CREDENTIALS="test-token" +export CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" +export CHROMA_AUTH_TOKEN_TRANSPORT_HEADER="X-Chroma-Token" +``` + +Then, run the Chroma server: + +```terminal +chroma run --path +``` + +To configure multiple tokens and use them for role-based access control (RBAC), use a file like [this](https://github.com/chroma-core/chroma/blob/main/examples/basic_functionality/authz/authz.yaml) and the following environment variables: + +```terminal +export CHROMA_SERVER_AUTHN_CREDENTIALS_FILE="" +export CHROMA_SERVER_AUTHZ_CONFIG_FILE="" # Note: these are the same! +export CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" +export CHROMA_SERVER_AUTHZ_PROVIDER="chromadb.auth.simple_rbac_authz.SimpleRBACAuthorizationProvider" +``` + +#### Client Set-Up + +{% MarkdocTabs %} + +{% Tab label="python" %} + +We will use Chroma's `Settings` object to define the authentication method on the client. + +```python +import chromadb +from chromadb.config import Settings + +client = chromadb.HttpClient( + host="localhost", + port=8000, + settings=Settings( + chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", + chroma_client_auth_credentials="test-token" + ) +) + +chroma_client.heartbeat() +``` + +If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: + +```python +chroma_auth_token_transport_header="X-Chroma-Token" +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "http://localhost:8000", + auth: { + provider: "token", + credentials: "test-token", + tokenHeaderType: "X-Chroma-Token" + } +}) + +chromaClient.heartbeat() +``` + +{% /Tab %} +{% /MarkdocTabs %} + +We recommend setting the environment variable `CHROMA_CLIENT_AUTH_CREDENTIALS` instead of specifying the token in code. Similarly, you can read the value of `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` in the client construction. \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/administration/migration.md b/docs/docs.trychroma.com/markdoc/content/production/administration/migration.md new file mode 100644 index 00000000000..4dfb835d13e --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/administration/migration.md @@ -0,0 +1,333 @@ +# Migration + +Schema and data format changes are a necessary evil of evolving software. We take changes seriously and make them infrequently and only when necessary. + +Chroma's commitment is whenever schema or data format change, we will provide a seamless and easy-to-use migration tool to move to the new schema/format. + +Specifically we will announce schema changes on: + +- Discord ([#migrations channel](https://discord.com/channels/1073293645303795742/1129286514845691975)) +- Github ([here](https://github.com/chroma-core/chroma/issues)) +- Email listserv [Sign up](https://airtable.com/shrHaErIs1j9F97BE) + +We will aim to provide: + +- a description of the change and the rationale for the change. +- a CLI migration tool you can run +- a video walkthrough of using the tool + +## Migration Log + +### v0.5.17 + +We no longer support sending empty lists or dictionaries for metadata filtering, ID filtering, etc. For example, + +```python +collection.get( + ids=["id1", "id2", "id3", ...], + where={} +) +``` + +is not supported. Instead, use: + +```python +collection.get(ids=["id1", "id2", "id3", ...]) +``` + +### v0.5.12 + +The operators `$ne` (not equal) and `$nin` (not in) in `where` clauses have been updated: +* Previously: They only matched records that had the specified key. +* Now: They also match records that don't have the specified key at all. + +In other words, `$ne` and `$nin` now match the complement set of records (the exact opposite) that `$eq` (equals) and `$in` (in) would match, respectively. + +The `$not_contains` operator in the `where_document` clause has also been updated: +* Previously: It only matched records that had a document field. +* Now: It also matches records that don't have a document field at all. + +In other words, `$not_contains` now matches the exact opposite set of records that `$contains` would match. + +`RateLimitingProvider` is now deprecated and replaced by `RateLimitEnforcer`. This new interface allows you to wrap server calls with rate limiting logic. The default `SimpleRateLimitEnforcer` implementation allows all requests, but you can create custom implementations for more advanced rate limiting strategies. +### v0.5.11 + +The results returned by `collection.get()` is now ordered by internal ids. Whereas previously, the results were ordered by user provided ids, although this behavior was not explicitly documented. We would like to make the change because using user provided ids may not be ideal for performance in hosted Chroma, and we hope to propagate the change to local Chroma for consistency of behavior. In general, newer documents in Chroma has larger internal ids. + +A subsequent change in behavior is `limit` and `offset`, which depends on the order of returned results. For example, if you have a collection named `coll` of documents with ids `["3", "2", "1", "0"]` inserted in this order, then previously `coll.get(limit=2, offset=2)["ids"]` gives you `["2", "3"]`, while currently this will give you `["1", "0"]`. + +We have also modified the behavior of `client.get_or_create`. Previously, if a collection already existed and the `metadata` argument was provided, the existing collection's metadata would be overwritten with the new values. This has now changed. If the collection already exists, get_or_create will simply return the existing collection with the specified name, and any additional arguments—including `metadata`—will be ignored. + +Finally, the embeddings returned from `collection.get()`, `collection.query()`, and `collection.peek()` are now represented as 2-dimensional NumPy arrays instead of Python lists. When adding embeddings, you can still use either a Python list or a NumPy array. If your request returns multiple embeddings, the result will be a Python list containing 2-dimensional NumPy arrays. This change is part of our effort to enhance performance in Local Chroma by using NumPy arrays for internal representation of embeddings. + +### v0.5.6 + +Chroma internally uses a write-ahead log. In all versions prior to v0.5.6, this log was never pruned. This resulted in the data directory being much larger than it needed to be, as well as the directory size not decreasing by the expected amount after deleting a collection. + +In v0.5.6 the write-ahead log is pruned automatically. However, this is not enabled by default for existing databases. After upgrading, you should run `chroma utils vacuum` once to reduce your database size and enable continuous pruning. See the [CLI reference](/reference/cli#vacuuming) for more details. + +This does not need to be run regularly and does not need to be run on new databases created with v0.5.6 or later. + +### v0.5.1 + +On the Python client, the `max_batch_size` property was removed. It wasn't previously documented, but if you were reading it, you should now use `get_max_batch_size()`. + +The first time this is run, it makes a HTTP request. We made this a method to make it more clear that it's potentially a blocking operation. + +### Auth overhaul - April 20, 2024 + +**If you are not using Chroma's [built-in auth system](https://docs.trychroma.com/deployment/auth), you do not need to take any action.** + +This release overhauls and simplifies our authentication and authorization systems. +If you are you using Chroma's built-in auth system, you will need to update your configuration and +any code you wrote to implement your own authentication or authorization providers. +This change is mostly to pay down some of Chroma's technical debt and make future changes easier, +but it also changes and simplifies user configuration. +If you are not using Chroma's built-in auth system, you do not need to take any action. + +Previously, Chroma's authentication and authorization relied on many objects with many configuration options, including: + +- `chroma_server_auth_provider` +- `chroma_server_auth_configuration_provider` +- `chroma_server_auth_credentials_provider` +- `chroma_client_auth_credentials_provider` +- `chroma_client_auth_protocol_adapter` + +and others. + +We have consolidated these into three classes: + +- `ClientAuthProvider` +- `ServerAuthenticationProvider` +- `ServerAuthorizationProvider` + +`ClientAuthProvider`s are now responsible for their own configuration and credential management. Credentials can be given to them with the `chroma_client_auth_credentials` setting. The value for `chroma_client_auth_credentials` depends on the `ServerAuthenticationProvider`; for `TokenAuthenticationServerProvider` it should just be the token, and for `BasicAuthenticationServerProvider` it should be `username:password`. + +`ServerAuthenticationProvider`s are responsible for turning a request's authorization information into a `UserIdentity` containing any information necessary to make an authorization decision. They are now responsible for their own configuration and credential management. Configured via the `chroma_server_authn_credentials` and `chroma_server_authn_credentials_file` settings. + +`ServerAuthorizationProvider`s are responsible for turning information about the request and the `UserIdentity` which issued the request into an authorization decision. Configured via the `chroma_server_authz_config` and `chroma_server_authz_config_file` settings. + +_Either `_authn_credentials` or `authn_credentials_file` can be set, never both. Same for `authz_config` and `authz_config_file`. The value of the config (or data in the config file) will depend on your authn and authz providers. See [here](https://github.com/chroma-core/chroma/tree/main/examples/basic_functionality/authz) for more information._ + +The two auth systems Chroma ships with are `Basic` and `Token`. We have a small migration guide for each. + +#### Basic + +If you're using `Token` auth, your server configuration might look like: + +```yaml +CHROMA_SERVER_AUTH_CREDENTIALS="admin:admin" +CHROMA_SERVER_AUTH_CREDENTIALS_FILE="./example_file" +CHROMA_SERVER_AUTH_CREDENTIALS_PROVIDER="chromadb.auth.providers.HtpasswdConfigurationServerAuthCredentialsProvider" +CHROMA_SERVER_AUTH_PROVIDER="chromadb.auth.basic.BasicAuthServerProvider" +``` + +_Note: Only one of `AUTH_CREDENTIALS` and `AUTH_CREDENTIALS_FILE` can be set, but this guide shows how to migrate both._ + +And your corresponding client configation: + +```yaml +CHROMA_CLIENT_AUTH_PROVIDER="chromadb.auth.token.TokenAuthClientProvider" +CHROMA_CLIENT_AUTH_CREDENTIALS="admin:admin" +``` + +To migrate to the new server configuration, simply change it to: + +```yaml +CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" +CHROMA_SERVER_AUTHN_CREDENTIALS="test-token" +CHROMA_SERVER_AUTHN_CREDENTIALS_FILE="./example_file" +``` + +New client configuration: + +```yaml +CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" +CHROMA_CLIENT_AUTH_PROVIDER="chromadb.auth.basic_authn.BasicAuthClientProvider" +``` + +#### Token + +If you're using `Token` auth, your server configuration might look like: + +```yaml +CHROMA_SERVER_AUTH_CREDENTIALS="test-token" +CHROMA_SERVER_AUTH_CREDENTIALS_FILE="./example_file" +CHROMA_SERVER_AUTH_CREDENTIALS_PROVIDER="chromadb.auth.token.TokenConfigServerAuthCredentialsProvider" +CHROMA_SERVER_AUTH_PROVIDER="chromadb.auth.token.TokenAuthServerProvider" +CHROMA_SERVER_AUTH_TOKEN_TRANSPORT_HEADER="AUTHORIZATION" +``` + +_Note: Only one of `AUTH_CREDENTIALS` and `AUTH_CREDENTIALS_FILE` can be set, but this guide shows how to migrate both._ + +And your corresponding client configation: + +```yaml +CHROMA_CLIENT_AUTH_PROVIDER="chromadb.auth.token.TokenAuthClientProvider" +CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" +CHROMA_CLIENT_AUTH_TOKEN_TRANSPORT_HEADER="AUTHORIZATION" +``` + +To migrate to the new server configuration, simply change it to: + +```yaml +CHROMA_SERVER_AUTHN_PROVIDER="chromadb.auth.token_authn.TokenAuthenticationServerProvider" +CHROMA_SERVER_AUTHN_CREDENTIALS="test-token" +CHROMA_SERVER_AUTHN_CREDENTIALS_FILE="./example_file" +CHROMA_AUTH_TOKEN_TRANSPORT_HEADER="AUTHORIZATION" +``` + +New client configuration: + +```yaml +CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" +CHROMA_CLIENT_AUTH_PROVIDER="chromadb.auth.token_authn.TokenAuthClientProvider" +CHROMA_AUTH_TOKEN_TRANSPORT_HEADER="AUTHORIZATION" +``` + +#### Reference of changed configuration values + +- Overall config + - `chroma_client_auth_token_transport_header`: renamed to `chroma_auth_token_transport_header`. + - `chroma_server_auth_token_transport_header`: renamed to `chroma_auth_token_transport_header`. +- Client config + - `chroma_client_auth_credentials_provider`: deleted. Functionality is now in `chroma_client_auth_provider`. + - `chroma_client_auth_protocol_adapter`: deleted. Functionality is now in `chroma_client_auth_provider`. + - `chroma_client_auth_credentials_file`: deleted. Functionality is now in `chroma_client_auth_credentials`. + - These changes also apply to the Typescript client. +- Server authn + - `chroma_server_auth_provider`: Renamed to `chroma_server_authn_provider`. + - `chroma_server_auth_configuration_provider`: deleted. Functionality is now in `chroma_server_authn_provider`. + - `chroma_server_auth_credentials_provider`: deleted. Functionality is now in `chroma_server_authn_provider`. + - `chroma_server_auth_credentials_file`: renamed to `chroma_server_authn_credentials_file`. + - `chroma_server_auth_credentials`: renamed to `chroma_server_authn_credentials`. + - `chroma_server_auth_configuration_file`: renamed to `chroma_server_authn_configuration_file`. +- Server authz + - `chroma_server_authz_ignore_paths`: deleted. Functionality is now in `chroma_server_auth_ignore_paths`. + +To see the full changes, you can read the [PR](https://github.com/chroma-core/chroma/pull/1970/files) or reach out to the Chroma team on [Discord](https://discord.gg/MMeYNTmh3x). + +### Migration to 0.4.16 - November 7, 2023 + +This release adds support for multi-modal embeddings, with an accompanying change to the definitions of `EmbeddingFunction`. +This change mainly affects users who have implemented their own `EmbeddingFunction` classes. If you are using Chroma's built-in embedding functions, you do not need to take any action. + +**EmbeddingFunction** + +Previously, `EmbeddingFunction`s were defined as: + +```python +class EmbeddingFunction(Protocol): + def __call__(self, texts: Documents) -> Embeddings: + ... +``` + +After this update, `EmbeddingFunction`s are defined as: + +```python +Embeddable = Union[Documents, Images] +D = TypeVar("D", bound=Embeddable, contravariant=True) + +class EmbeddingFunction(Protocol[D]): + def __call__(self, input: D) -> Embeddings: + ... +``` + +The key differences are: + +- `EmbeddingFunction` is now generic, and takes a type parameter `D` which is a subtype of `Embeddable`. This allows us to define `EmbeddingFunction`s which can embed multiple modalities. +- `__call__` now takes a single argument, `input`, to support data of any type `D`. The `texts` argument has been removed. + +### Migration from >0.4.0 to 0.4.0 - July 17, 2023 + +What's new in this version? + +- New easy way to create clients +- Changed storage method +- `.persist()` removed, `.reset()` no longer on by default + +**New Clients** + +```python +### in-memory ephemeral client + +# before +import chromadb +client = chromadb.Client() + +# after +import chromadb +client = chromadb.EphemeralClient() + + +### persistent client + +# before +import chromadb +from chromadb.config import Settings +client = chromadb.Client(Settings( + chroma_db_impl="duckdb+parquet", + persist_directory="/path/to/persist/directory" # Optional, defaults to .chromadb/ in the current directory +)) + +# after +import chromadb +client = chromadb.PersistentClient(path="/path/to/persist/directory") + + +### http client (to talk to server backend) + +# before +import chromadb +from chromadb.config import Settings +client = chromadb.Client(Settings(chroma_api_impl="rest", + chroma_server_host="localhost", + chroma_server_http_port="8000" + )) + +# after +import chromadb +client = chromadb.HttpClient(host="localhost", port="8000") + +``` + +You can still also access the underlying `.Client()` method. If you want to turn off telemetry, all clients support custom settings: + +```python +import chromadb +from chromadb.config import Settings +client = chromadb.PersistentClient( + path="/path/to/persist/directory", + settings=Settings(anonymized_telemetry=False)) +``` + +**New data layout** + +This version of Chroma drops `duckdb` and `clickhouse` in favor of `sqlite` for metadata storage. This means migrating data over. We have created a migration CLI utility to do this. + +If you upgrade to `0.4.0` and try to access data stored in the old way, you will see this error message + +> You are using a deprecated configuration of Chroma. Please pip install chroma-migrate and run `chroma-migrate` to upgrade your configuration. See https://docs.trychroma.com/deployment/migration for more information or join our discord at https://discord.gg/8g5FESbj for help! + +Here is how to install and use the CLI: + +```terminal +pip install chroma-migrate +chroma-migrate +``` + +![](/chroma-migrate.png) + +If you need any help with this migration, please reach out! We are on [Discord](https://discord.com/channels/1073293645303795742/1129286514845691975) ready to help. + +**Persist & Reset** + +`.persist()` was in the old version of Chroma because writes were only flushed when forced to. Chroma `0.4.0` saves all writes to disk instantly and so `persist` is no longer needed. + +`.reset()`, which resets the entire database, used to by enabled-by-default which felt wrong. `0.4.0` has it disabled-by-default. You can enable it again by passing `allow_reset=True` to a Settings object. For example: + +```python +import chromadb +from chromadb.config import Settings +client = chromadb.PersistentClient(path="./path/to/chroma", settings=Settings(allow_reset=True)) +``` \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/administration/observability.md b/docs/docs.trychroma.com/markdoc/content/production/administration/observability.md new file mode 100644 index 00000000000..fac6ff43f96 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/administration/observability.md @@ -0,0 +1,35 @@ +# Observability + + +## Backend Observability + +Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. + +{% note type="default" title="Telemetry vs Observability" %} +"[Telemetry](../../docs/overview/telemetry)" refers to anonymous product usage statistics we collect. "Observability" refers to metrics, logging, and tracing which can be used by anyone operating a Chroma deployment. Observability features listed on this page are **never** sent back to Chroma; they are for end-users to better understand how their Chroma deployment is behaving. +{% /note %} + +### Available Observability + +Chroma currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). Traces allow a Chroma operator to understand how requests flow through the system and quickly identify bottlenecks. + +### Configuration + +Tracing is configured with four environment variables: + +- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. +- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. +- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. +- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. + +We also have dedicated observability guides for various deployments: +* [Docker](../containers/docker#observability-with-docker) +* [AWS](../cloud-providers/aws#observability-with-AWS) +* [GCP](../cloud-providers/gcp#observability-with-GCP) +* [Azure](../cloud-providers/azure#observability-with-Azure) + +## Client (SDK) Observability + +Several observability platforms offer built-in integrations for Chroma, allowing you to monitor your application's interactions with the Chroma server: +- [OpenLLMetry Integration](../../integrations/frameworks/openllmetry). +- [OpenLIT Integration](../../integrations/frameworks/openlit). \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/administration/performance.md b/docs/docs.trychroma.com/markdoc/content/production/administration/performance.md new file mode 100644 index 00000000000..c617b03570e --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/administration/performance.md @@ -0,0 +1,127 @@ +# Single-Node Chroma: Performance and Limitations + + +The single-node version of Chroma is designed to be easy to deploy and maintain, while still providing robust performance that satisfies a broad range of production applications. + +To help you understand when single-node Chroma is a good fit for your use case, we have performed a series of stress tests and performance experiments to probe the system’s capabilities and discover its limitations and edge cases. We analyzed these boundaries across a range of hardware configurations, to determine what sort of deployment is appropriate for different workloads. + +This document describes these findings, as well as some general principles for getting the most out of your Chroma deployment. + +## Results Summary + +Roughly speaking, here is the sort of performance you can expect from Chroma on different EC2 instance types with a very typical workload: + +- 1024 dimensional embeddings +- Small documents (100-200 words) +- Three metadata fields per record. + +| Instance Type | System RAM | Approx. Max Collection Size | Mean Latency (insert) | 99.9% Latency (insert) | Mean Latency (query) | 99.9% Latency (query) | Monthly Cost | +|-----------------|------------|-----------------------------|-----------------------|------------------------|----------------------|-----------------------|--------------| +| **t3.small** | 2 | 250,000 | 55ms | 250ms | 22ms | 72ms | $15.936 | +| **t3.medium** | 4 | 700,000 | 37ms | 120ms | 14ms | 41ms | $31.072 | +| **t3.large** | 8 | 1,700,000 | 30ms | 100ms | 13ms | 35ms | $61.344 | +| **t3.xlarge** | 16 | 3,600,000 | 30ms | 100ms | 13ms | 30ms | $121.888 | +| **t3.2xlarge** | 32 | 7,500,000 | 30ms | 100ms | 13ms | 30ms | $242.976 | +| **r7i.2xlarge** | 64 | 15,000,000 | 13ms | 50ms | 7ms | 13ms | $386.944 | + +{% br %}{% /br %} + +Deploying Chroma on a system with less than 2GB of RAM is **not** recommended. + +Note that the latency figures in this table are for small collections. Latency increases as collections grow: see [Latency and collection size](./performance#latency-and-collection-size) below for a full analysis. + +## Memory and collection size + +Chroma uses a fork of [`hnswlib`](https://github.com/nmslib/hnswlib) to efficiently index and search over embedding vectors. The HNSW algorithm requires that the embedding index reside in system RAM to query or update. + +As such, the amount of available system memory defines an upper bound on the size of a Chroma collection (or multiple collections, if they are being used concurrently.) If a collection grows larger than available memory, insert and query latency spike rapidly as the operating system begins swapping memory to disk. The memory layout of the index is not amenable to swapping, and the system quickly becomes unusable. + +Therefore, users should always plan on having enough RAM provisioned to accommodate the anticipated total number of embeddings. + +To analyze how much RAM is required, we launched an an instance of Chroma on variously sized EC2 instances, then inserted embeddings until each system became non-responsive. As expected, this failure point corresponded linearly to RAM and embedding count. + +For 1024 dimensional embeddings, with three metadata records and a small document per embedding, this works out to `N = R * 0.245` where `N` is the max collection size in millions, and `R` is the amount of system RAM required in gigabytes. Remember, you wil also need reserve at least a gigabyte for the system’s other needs, in addition to the memory required by Chroma. + +This pattern holds true up through about 7 million embeddings, which is as far as we tested. At this point Chroma is still fast and stable, and we did not find a strict upper bound on the size of a Chroma database. + +## Disk space and collection size + +Chroma durably persists each collection to disk. The amount of space required is a combination of the space required to save the HNSW embedding index, and the space required by the sqlite database used to store documents and embedding metadata. + +The calculations for persisting the HNSW index are similar to that for calculating RAM size. As a rule of thumb, just make sure a system’s storage is at least as big as its RAM, plus several gigabytes to account for the overhead of the operating system and other applications. + +The amount of space required by the sqlite database is highly variable, and depends entirely on whether documents and metadata are being saved in Chroma, and if so, how large they are. Fully exploring all permutations of this are beyond the scope of the experiments we were able to run. + +However, as a single data point, the sqlite database for a collection with ~40k documents of 1000 words each, and ~600k metadata entries was about 1.7gb. + +There is no strict upper bound on the size of the metadata database: sqlite itself supports databases into the terabyte range, and can page to disk effectively. + +In most realistic use cases, it’s likely that the size and performance of the HNSW index in RAM becomes the limiting factor on a Chroma collection’s size long before the metadata database does. + +## Latency and collection size + +As collections get larger and the size of the index grows, inserts and queries both take longer to complete. The rate of increase starts out fairly flat then grow roughly linearly, with the inflection point and slope depending on the quantity and speed of CPUs available. + +### Query Latency + +![query-latency](/query-latency.png) + +### Insert Latency + +![insert-latency](/insert-latency.png) + +{% note type="tip" title="" %} +If you’re using multiple collections, performance looks quite similar, based on the total number of embeddings across collections. Splitting collections into multiple smaller collections doesn’t help, but it doesn’t hurt, either, as long as they all fit in memory at once. +{% /note %} + +## Concurrency + +Although aspects of HNSW’s algorithm are multithreaded internally, only one thread can read or write to a given index at a time. For the most part, single-node Chroma is fundamentally single threaded. If a operation is executed while another is still in progress, it blocks until the first one is complete. + +This means that under concurrent load, the average latency of each request will increase. + +When writing, the increased latency is more pronounced with larger batch sizes, as the system is more completely saturated. We have experimentally verified this: as the number of concurrent writers is increased, average latency increases linearly. + +![concurrent-writes](/concurrent-writes.png) + +![concurrent-queries](/concurrent-queries.png) + +Despite the effect on latency, Chroma does remain stable with high concurrent load. Too many concurrent users can eventually increase latency to the point where the system does not perform acceptably, but this typically only happens with larger batch sizes. As the above graphs shows, the system remains usable with dozens to hundreds of operations per second. + +See the [Insert Throughput](./performance#insert-throughput) section below for a discussion of optimizing user count for maximum throughput when the concurrency is under your control, such as when inserting bulk data. + +# CPU speed, core count & type + +As a CPU bound application, it’s not surprising that CPU speed and type makes a difference for average latency. + +As the data demonstrates, although it is not fully parallelized, Chroma can still take some advantage of multiple CPU cores for better throughput. + +![cpu-mean-query-latency](/cpu-mean-query-latency.png) + +{% note type="tip" title="" %} +Note the slightly increased latency for the t3.2xlarge instance. Logically, it should be faster than the other t3 series instances, since it has the same class of CPU, and more of them. + +This data point is left in as an important reminder that the performance of EC2 instances is slightly variable, and it’s entirely possible to end up with an instance that has performance differences for no discernible reason. +{% /note %} + +# Insert Throughput + +A question that is often relevant is: given bulk data to insert, how fast is it possible to do so, and what’s the best way to insert a lot of data quickly? + +The first important factor to consider is the number of concurrent insert requests. + +As mentioned in the [Concurrency](./performance#concurrency) section above, actual insertion throughput does not benefit from concurrency. However, there is some amount of network and HTTP overhead which can be parallelized. Therefore, to saturate Chroma while keeping latencies as low as possible, we recommend 2 concurrent client processes or threads inserting as fast as possible. + +The second factor to consider is the batch size of each request. Performance is mostly linear with respect to batch size, with a constant overhead to process the HTTP request itself. + +Experimentation confirms this: overall throughput (total number of embeddings inserted, across batch size and request count) remains fairly flat between batch sizes of 100-500: + +![concurrent-inserts](/concurrent-inserts.png) + +Given that smaller batches have lower, more consistent latency and are less likely to lead to timeout errors, we recommend batches on the smaller side of this curve: anything between 50 and 250 is a reasonable choice. + +## Conclusion + +Users should feel comfortable relying on Chroma for use cases approaching tens of millions of embeddings, when deployed on the right hardware. It’s average and upper-bound latency for both reads and writes make it a good platform for all but the largest AI-based applications, supporting potentially thousands of simultaneous human users (depending on your application’s backend access patterns.) + +As a single-node solution, though, it won’t scale forever. If you find your needs exceeding the parameters laid out in this analysis, we are extremely interested in hearing from you. Please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. We would love to help you think through the design of your system, whether Chroma has a place in it, or if you would be a good fit for our upcoming distributed cloud service. \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/chroma-server/client-server-mode.md b/docs/docs.trychroma.com/markdoc/content/production/chroma-server/client-server-mode.md new file mode 100644 index 00000000000..0d2795faa01 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/chroma-server/client-server-mode.md @@ -0,0 +1,60 @@ +# Running Chroma in Client-Server Mode + +Chroma can also be configured to run in client/server mode. In this mode, the Chroma client connects to a Chroma server running in a separate process. + +This means that you can deploy single-node Chroma to a [Docker container](../containers/docker), or a machine hosted by a cloud provider like [AWS](../cloud-providers/aws), [GCP](../cloud-providers/gcp), [Azure](../cloud-providers/azure), and others. Then, you can access your Chroma server from your application using our `HttpClient` (or `ChromaClient` for JS/TS users). + +You can quickly experiment locally with Chroma in client/server mode by using our CLI: + +```terminal +chroma run --path /db_path +``` + +{% MarkdocTabs %} + +{% Tab label="python" %} + +Then use the Chroma `HttpClient` to connect to the server: + +```python +import chromadb +chroma_client = chromadb.HttpClient(host='localhost', port=8000) +``` + +Chroma also provides an `AsyncHttpClient`. The behaviors and method signatures are identical to the synchronous client, but all methods that would block are now async: + +```python +import asyncio +import chromadb + +async def main(): + client = await chromadb.AsyncHttpClient() + collection = await client.create_collection(name="my_collection") + await collection.add( + documents=["hello world"], + ids=["id1"] + ) + +asyncio.run(main()) +``` + +If you intend to deploy your Chroma server, you may want to consider our [thin-client package](./thin-client) for client-side interactions. + +{% /Tab %} + +{% Tab label="typescript" %} + +Then instantiate a new `ChromaClient`. The default is to connect to a Chroma server running on localhost. + +```typescript +// CJS +const { ChromaClient } = require("chromadb"); +// ESM +import { ChromaClient } from "chromadb"; + +const client = new ChromaClient(); +``` + +{% /Tab %} + +{% /MarkdocTabs %} \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/chroma-server/python-thin-client.md b/docs/docs.trychroma.com/markdoc/content/production/chroma-server/python-thin-client.md new file mode 100644 index 00000000000..ea276842ed4 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/chroma-server/python-thin-client.md @@ -0,0 +1,26 @@ +# Chroma's Thin-Client + + +If you are running Chroma in client-server mode in a Python application, you may not need the full Chroma Python library. Instead, you can use the lightweight client-only library. +In this case, you can install the `chromadb-client` package **instead** of our `chromadb` package. + +The `chromadb-client` package is a lightweight HTTP client for the server with a minimal dependency footprint. + + +```terminal +pip install chromadb-client +``` + +```python +import chromadb +# Example setup of the client to connect to your chroma server +client = chromadb.HttpClient(host='localhost', port=8000) + +# Or for async usage: +async def main(): + client = await chromadb.AsyncHttpClient(host='localhost', port=8000) +``` + +Note that the `chromadb-client` package is a subset of the full Chroma library and does not include all the dependencies. If you want to use the full Chroma library, you can install the `chromadb` package instead. + +Most importantly, the thin-client package has no default embedding functions. If you `add()` documents without embeddings, you must have manually specified an embedding function and installed the dependencies for it. \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/aws.md b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/aws.md new file mode 100644 index 00000000000..b6ba86d550b --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/aws.md @@ -0,0 +1,313 @@ +# AWS Deployment + +{% Banner type="tip" %} + +**Hosted Chroma** + +Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. + +[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) + +{% /Banner %} + +{% Banner type="tip" %} + +If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. +This is the best place to + +1. Get support with building with Chroma in prod. +2. Stay up-to-date with exciting new features. +3. Get swag! + +We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. + +{% /Banner %} + +## A Simple AWS Deployment + +You can deploy Chroma on a long-running server, and connect to it +remotely. + +There are many possible configurations, but for convenience we have +provided a very simple AWS CloudFormation template to experiment with +deploying Chroma to EC2 on AWS. + +{% Banner type="warn" %} + +Chroma and its underlying database [need at least 2GB of RAM](./performance#results-summary), +which means it won't fit on the 1gb instances provided as part of the +AWS Free Tier. This template uses a [`t3.small`](https://aws.amazon.com/ec2/instance-types/t3/#Product%20Details) EC2 instance, which +costs about two cents an hour, or $15 for a full month, and gives you 2GiB of memory. If you follow these +instructions, AWS will bill you accordingly. + +{% /Banner %} + +{% Banner type="warn" %} + +In this guide we show you how to secure your endpoint using [Chroma's +native authentication support](./aws#authentication-with-aws). Alternatively, you can put it behind +[AWS API Gateway](https://aws.amazon.com/api-gateway/) or add your own +authenticating proxy. This basic stack doesn't support any kind of authentication; +anyone who knows your server IP will be able to add and query for +embeddings. + +{% /Banner %} + +{% Banner type="warn" %} + +By default, this template saves all data on a single +volume. When you delete or replace it, the data will disappear. For +serious production use (with high availability, backups, etc.) please +read and understand the CloudFormation template and use it as a basis +for what you need, or reach out to the Chroma team for assistance. + +{% /Banner %} + +### Step 1: Get an AWS Account + +You will need an AWS Account. You can use one you already have, or +[create a new one](https://aws.amazon.com). + +### Step 2: Get credentials + +For this example, we will be using the AWS command line +interface. There are +[several ways](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-prereqs.html) +to configure the AWS CLI, but for the purposes of these examples we +will presume that you have +[obtained an AWS access key](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html) +and will be using environment variables to configure AWS. + +Export the `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` environment variables in your shell: + +```terminal +export AWS_ACCESS_KEY_ID=**\*\***\*\*\*\***\*\*** +export AWS_SECRET_ACCESS_KEY=****\*\*****\*\*****\*\***** +``` + +You can also configure AWS to use a region of your choice using the +`AWS_REGION` environment variable: + +```terminal +export AWS_REGION=us-east-1 +``` + +### Step 3: Run CloudFormation + +Chroma publishes a [CloudFormation template](https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json) to S3 for each release. + +To launch the template using AWS CloudFormation, run the following command line invocation. + +Replace `--stack-name my-chroma-stack` with a different stack name, if you wish. + +```terminal +aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json +``` + +Wait a few minutes for the server to boot up, and Chroma will be +available! You can get the public IP address of your new Chroma server using the AWS console, or using the following command: + +```terminal +aws cloudformation describe-stacks --stack-name my-chroma-stack --query 'Stacks[0].Outputs' +``` + +Note that even after the IP address of your instance is available, it may still take a few minutes for Chroma to be up and running. + +#### Customize the Stack (optional) + +The CloudFormation template allows you to pass particular key/value +pairs to override aspects of the stack. Available keys are: + +- `InstanceType` - the AWS instance type to run (default: `t3.small`) +- `KeyName` - the AWS EC2 KeyPair to use, allowing to access the instance via SSH (default: none) + +To set a CloudFormation stack's parameters using the AWS CLI, use the +`--parameters` command line option. Parameters must be specified using +the format `ParameterName={parameter},ParameterValue={value}`. + +For example, the following command launches a new stack similar to the +above, but on a `m5.4xlarge` EC2 instance, and adding a KeyPair named +`mykey` so anyone with the associated private key can SSH into the +machine: + +```terminal +aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json \ + --parameters ParameterKey=KeyName,ParameterValue=mykey \ + ParameterKey=InstanceType,ParameterValue=m5.4xlarge +``` + +### Step 4: Chroma Client Set-Up + +Once your EC2 instance is up and running with Chroma, all +you need to do is configure your `HttpClient` to use the server's IP address and port +`8000`. Since you are running a Chroma server on AWS, our [thin-client package](../chroma-server/python-thin-client) may be enough for your application. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} + +```python +import chromadb + +chroma_client = chromadb.HttpClient( + host="", + port=8000 +) +chroma_client.heartbeat() +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "", + port: 8000 +}) +chromaClient.heartbeat() +``` + +{% /Tab %} + +{% /TabbedCodeBlock %} + +### Step 5: Clean Up (optional). + +To destroy the stack and remove all AWS resources, use the AWS CLI `delete-stack` command. + +{% note type="warning" title="Note" %} +This will destroy all the data in your Chroma database, +unless you've taken a snapshot or otherwise backed it up. +{% /note %} + +```terminal +aws cloudformation delete-stack --stack-name my-chroma-stack +``` + +## Authentication with AWS + +By default, the EC2 instance created by our CloudFormation template will run with no authentication. There are many ways to secure your Chroma instance on AWS. In this guide we will use a simple set-up using Chroma's native authentication support. + +You can learn more about authentication with Chroma in the [Auth Guide](../administration/auth). + +### Static API Token Authentication + +#### Customize Chroma's CloudFormation Stack + +{% Banner type="note" %} + +**Security Note** + +Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. + +{% /Banner %} + +If, for example, you want the static API token to be "test-token", pass the following parameters when creating your Chroma stack. This will set `Authorization: Bearer test-token` as your authentication header. + +```terminal +aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json \ + --parameters ParameterKey=ChromaServerAuthCredentials,ParameterValue="test-token" \ + ParameterKey=ChromaServerAuthProvider,ParameterValue="chromadb.auth.token_authn.TokenAuthenticationServerProvider" +``` + +To use `X-Chroma-Token: test-token` type of authentication header you can set the `ChromaAuthTokenTransportHeader` parameter: + +```terminal +aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json \ + --parameters ParameterKey=ChromaServerAuthCredentials,ParameterValue="test-token" \ + ParameterKey=ChromaServerAuthProvider,ParameterValue="chromadb.auth.token_authn.TokenAuthenticationServerProvider" \ + ParameterKey=ChromaAuthTokenTransportHeader,ParameterValue="X-Chroma-Token" +``` + +#### Client Set-Up + +Add the `CHROMA_CLIENT_AUTH_CREDENTIALS` environment variable to your local environment, and set it to the token you provided the server (`test-token` in this example): + +```terminal +export CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" +``` + +{% MarkdocTabs %} + +{% Tab label="python" %} + +We will use Chroma's `Settings` object to define the authentication method on the client. + +```python +import os +import chromadb +from chromadb.config import Settings +from dotenv import load_dotenv + +load_dotenv() + +client = chromadb.HttpClient( + host="", + port=8000, + settings=Settings( + chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", + chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") + ) +) + +client.heartbeat() +``` + +If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: + +```python +chroma_auth_token_transport_header=os.getenv("CHROMA_AUTH_TOKEN_TRANSPORT_HEADER") +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "", + auth: { + provider: "token", + credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS, + tokenHeaderType: process.env.CHROMA_AUTH_TOKEN_TRANSPORT_HEADER + } +}) + +chromaClient.heartbeat() +``` + +{% /Tab %} + +{% /MarkdocTabs %} + +## Observability with AWS + +Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. We currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). These should allow you to understand how requests flow through the system and quickly identify bottlenecks. + +Tracing is configured with four environment variables: + +- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. +- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. +- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. +- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. + +To enable tracing on your Chroma server, simply pass your desired values as parameters when creating your Cloudformation stack: + +```terminal +aws cloudformation create-stack --stack-name my-chroma-stack --template-url https://s3.amazonaws.com/public.trychroma.com/cloudformation/latest/chroma.cf.json \ + --parameters ParameterKey=ChromaOtelCollectionEndpoint,ParameterValue="api.honeycomb.com" \ + ParameterKey=ChromaOtelServiceName,ParameterValue="chromadb" \ + ParameterKey=ChromaOtelCollectionHeaders,ParameterValue="{'x-honeycomb-team': 'abc'}" \ + ParameterKey=ChromaOtelGranularity,ParameterValue="all" \ +``` + +## Troubleshooting + +#### Error: No default VPC for this user + +If you get an error saying `No default VPC for this user` when creating `ChromaInstanceSecurityGroup`, head to [AWS VPC section](https://us-east-1.console.aws.amazon.com/vpc/home?region=us-east-1#vpcs) and create a default VPC for your user. \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/azure.md b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/azure.md new file mode 100644 index 00000000000..16c6665aff5 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/azure.md @@ -0,0 +1,265 @@ +# Azure Deployment + +{% Banner type="tip" %} + +**Hosted Chroma** + +Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. + +[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) + +{% /Banner %} + +{% Banner type="tip" %} + +If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. +This is the best place to + +1. Get support with building with Chroma in prod. +2. Stay up-to-date with exciting new features. +3. Get swag! + +We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. + +{% /Banner %} + +## A Simple Azure Deployment + +You can deploy Chroma on a long-running server, and connect to it +remotely. + +For convenience, we have +provided a very simple Terraform configuration to experiment with +deploying Chroma to Azure. + +{% Banner type="warn" %} +Chroma and its underlying database [need at least 2GB of RAM](./performance#results-summary). When defining your VM size for the template in this example, make sure it meets this requirement. +{% /Banner %} + +{% Banner type="warn" %} +In this guide we show you how to secure your endpoint using [Chroma's +native authentication support](./azure#authentication-with-azure). Alternatively, you can put it behind +an API Gateway or add your own +authenticating proxy. This basic stack doesn't support any kind of authentication; +anyone who knows your server IP will be able to add and query for +embeddings. +{% /Banner %} + +{% Banner type="warn" %} +By default, this template saves all data on a single +volume. When you delete or replace it, the data will disappear. For +serious production use (with high availability, backups, etc.) please +read and understand the Terraform template and use it as a basis +for what you need, or reach out to the Chroma team for assistance. +{% /Banner %} + +### Step 1: Install Terraform + +Download [Terraform](https://developer.hashicorp.com/terraform/install?product_intent=terraform) and follow the installation instructions for you OS. + +### Step 2: Authenticate with Azure + +```terminal +az login +``` + +### Step 3: Configure your Azure Settings + +Create a `chroma.tfvars` file. Use it to define the following variables for your Azure Resource Group name, VM size, and location. Note that this template creates a new resource group for your Chroma deployment. + +```text +resource_group_name = "your-azure-resource-group-name" +location = "your-location" +machine_type = "Standard_B1s" +``` + +### Step 4: Initialize and deploy with Terraform + +Download our [Azure Terraform configuration](https://github.com/chroma-core/chroma/blob/main/deployments/azure/main.tf) to the same directory as your `chroma.tfvars` file. Then run the following commands to deploy your Chroma stack. + +Initialize Terraform: +```terminal +terraform init +``` + +Plan the deployment, and review it to ensure it matches your expectations: +```terminal +terraform plan -var-file chroma.tfvars +``` + +Finally, apply the deployment: +```terminal +terraform apply -var-file chroma.tfvars +``` + +After a few minutes, you can get the IP address of your instance with +```terminal +terraform output -raw public_ip_address +``` + +### Step 5: Chroma Client Set-Up + +Once your Azure VM instance is up and running with Chroma, all +you need to do is configure your `HttpClient` to use the server's IP address and port +`8000`. Since you are running a Chroma server on Azure, our [thin-client package](../chroma-server/python-thin-client) may be enough for your application. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} + +```python +import chromadb + +chroma_client = chromadb.HttpClient( + host="", + port=8000 +) +chroma_client.heartbeat() +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "", + port: 8000 +}) +chromaClient.heartbeat() +``` + +{% /Tab %} + +{% /TabbedCodeBlock %} + +### Step 5: Clean Up (optional). + +To destroy the stack and remove all Azure resources, use the `terraform destroy` command. + +```shell +terraform destroy -var-file chroma.tfvars +``` + +{% Banner type="warn" %} +This will destroy all the data in your Chroma database, +unless you've taken a snapshot or otherwise backed it up. +{% /Banner %} + +## Authentication with Azure + +By default, the Azure VM instance created by our Terraform configuration will run with no authentication. There are many ways to secure your Chroma instance on Azure. In this guide we will use a simple set-up using Chroma's native authentication support. + +You can learn more about authentication with Chroma in the [Auth Guide](../administration/auth). + +### Static API Token Authentication + +#### Customize Chroma's Terraform Configuration + +{% Banner type="note" %} + +**Security Note** + +Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. + +{% /Banner %} + +If, for example, you want the static API token to be "test-token", set the following variables in your `chroma.tfvars`. This will set `Authorization: Bearer test-token` as your authentication header. + +```text +chroma_server_auth_credentials = "test-token" +chroma_server_auth_provider = "chromadb.auth.token_authn.TokenAuthenticationServerProvider" +``` + +To use `X-Chroma-Token: test-token` type of authentication header you can set the `ChromaAuthTokenTransportHeader` parameter: + +```text +chroma_server_auth_credentials = "test-token" +chroma_server_auth_provider = "chromadb.auth.token_authn.TokenAuthenticationServerProvider" +chroma_auth_token_transport_header = "X-Chroma-Token" +``` + +#### Client Set-Up + +Add the `CHROMA_CLIENT_AUTH_CREDENTIALS` environment variable to your local environment, and set it to the token you provided the server (`test-token` in this example): + +```shell +export CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" +``` + +{% MarkdocTabs %} + +{% Tab label="python" %} + +We will use Chroma's `Settings` object to define the authentication method on the client. + +```python +import os +import chromadb +from chromadb.config import Settings +from dotenv import load_dotenv + +load_dotenv() + +client = chromadb.HttpClient( + host="", + port=8000, + settings=Settings( + chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", + chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") + ) +) + +client.heartbeat() +``` + +If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: + +```python +chroma_auth_token_transport_header=os.getenv("CHROMA_AUTH_TOKEN_TRANSPORT_HEADER") +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "", + auth: { + provider: "token", + credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS, + tokenHeaderType: process.env.CHROMA_AUTH_TOKEN_TRANSPORT_HEADER + } +}) + +chromaClient.heartbeat() +``` + +{% /Tab %} + +{% /MarkdocTabs %} + +## Observability with Azure + +Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. We currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). These should allow you to understand how requests flow through the system and quickly identify bottlenecks. + +Tracing is configured with four environment variables: + +- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. +- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. +- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. +- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. + +To enable tracing on your Chroma server, simply define the following variables in your `chroma.tfvars`: + +```text +chroma_otel_collection_endpoint = "api.honeycomb.com" +chroma_otel_service_name = "chromadb" +chroma_otel_collection_headers = "{'x-honeycomb-team': 'abc'}" +chroma_otel_granularity = "all" +``` \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/gcp.md b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/gcp.md new file mode 100644 index 00000000000..70832936c52 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/gcp.md @@ -0,0 +1,292 @@ +# GCP Deployment + +{% Banner type="tip" %} + +**Hosted Chroma** + +Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. + +[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) + +{% /Banner %} + +{% Banner type="tip" %} + +If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. +This is the best place to + +1. Get support with building with Chroma in prod. +2. Stay up-to-date with exciting new features. +3. Get swag! + +We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. + +{% /Banner %} + +## A Simple GCP Deployment + +You can deploy Chroma on a long-running server, and connect to it +remotely. + +For convenience, we have +provided a very simple Terraform configuration to experiment with +deploying Chroma to Google Compute Engine. + +{% Banner type="warn" %} + +Chroma and its underlying database [need at least 2GB of RAM](./performance#results-summary), +which means it won't fit on the instances provided as part of the +GCP "always free" tier. This template uses an [`e2-small`](https://cloud.google.com/compute/docs/general-purpose-machines#e2_machine_types) instance, which +costs about two cents an hour, or $15 for a full month, and gives you 2GiB of memory. If you follow these +instructions, GCP will bill you accordingly. + +{% /Banner %} + +{% Banner type="warn" %} + +In this guide we show you how to secure your endpoint using [Chroma's +native authentication support](./gcp#authentication-with-gcp). Alternatively, you can put it behind +[GCP API Gateway](https://cloud.google.com/api-gateway/docs) or add your own +authenticating proxy. This basic stack doesn't support any kind of authentication; +anyone who knows your server IP will be able to add and query for +embeddings. + +{% /Banner %} + +{% Banner type="warn" %} + +By default, this template saves all data on a single +volume. When you delete or replace it, the data will disappear. For +serious production use (with high availability, backups, etc.) please +read and understand the Terraform template and use it as a basis +for what you need, or reach out to the Chroma team for assistance. + +{% /Banner %} + +### Step 1: Set up your GCP credentials + +In your GCP project, create a service account for deploying Chroma. It will need the following roles: +* Service Account User +* Compute Admin +* Compute Network Admin +* Storage Admin + +Create a JSON key file for this service account, and download it. Set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable to the path of your JSON key file: + +```terminal +export GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account-key.json" +``` + +### Step 2: Install Terraform + +Download [Terraform](https://developer.hashicorp.com/terraform/install?product_intent=terraform) and follow the installation instructions for you OS. + +### Step 3: Configure your GCP Settings + +Create a `chroma.tfvars` file. Use it to define the following variables for your GCP project ID, region, and zone: + +```text +project_id="" +region="" +zone="" +``` + +### Step 4: Initialize and deploy with Terraform + +Download our [GCP Terraform configuration](https://github.com/chroma-core/chroma/blob/main/deployments/gcp/main.tf) to the same directory as your `chroma.tfvars` file. Then run the following commands to deploy your Chroma stack. + +Initialize Terraform: +```terminal +terraform init +``` + +Plan the deployment, and review it to ensure it matches your expectations: +```terminal +terraform plan -var-file chroma.tfvars +``` +If you did not customize our configuration, you should be deploying an `e2-small` instance. + +Finally, apply the deployment: +```terminal +terraform apply -var-file chroma.tfvars +``` + +#### Customize the Stack (optional) + +If you want to use a machine type different from the default `e2-small`, in your `chroma.tfvars` add the `machine_type` variable and set it to your desired machine: + +```text +machine_type = "e2-medium" +``` + +After a few minutes, you can get the IP address of your instance with +```terminal +terraform output -raw chroma_instance_ip +``` + +### Step 5: Chroma Client Set-Up + +Once your Compute Engine instance is up and running with Chroma, all +you need to do is configure your `HttpClient` to use the server's IP address and port +`8000`. Since you are running a Chroma server on GCP, our [thin-client package](../chroma-server/python-thin-client) may be enough for your application. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} + +```python +import chromadb + +chroma_client = chromadb.HttpClient( + host="", + port=8000 +) +chroma_client.heartbeat() +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "", + port: 8000 +}) +chromaClient.heartbeat() +``` + +{% /Tab %} + +{% /TabbedCodeBlock %} + +### Step 5: Clean Up (optional). + +To destroy the stack and remove all GCP resources, use the `terraform destroy` command. + +{% note type="warning" title="Note" %} +This will destroy all the data in your Chroma database, +unless you've taken a snapshot or otherwise backed it up. +{% /note %} + +```terminal +terraform destroy -var-file chroma.tfvars +``` + +## Authentication with GCP + +By default, the Compute Engine instance created by our Terraform configuration will run with no authentication. There are many ways to secure your Chroma instance on GCP. In this guide we will use a simple set-up using Chroma's native authentication support. + +You can learn more about authentication with Chroma in the [Auth Guide](../administration/auth). + +### Static API Token Authentication + +#### Customize Chroma's Terraform Configuration + +{% Banner type="note" %} + +**Security Note** + +Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. + +{% /Banner %} + +If, for example, you want the static API token to be "test-token", set the following variables in your `chroma.tfvars`. This will set `Authorization: Bearer test-token` as your authentication header. + +```text +chroma_server_auth_credentials = "test-token" +chroma_server_auth_provider = "chromadb.auth.token_authn.TokenAuthenticationServerProvider" +``` + +To use `X-Chroma-Token: test-token` type of authentication header you can set the `ChromaAuthTokenTransportHeader` parameter: + +```text +chroma_server_auth_credentials = "test-token" +chroma_server_auth_provider = "chromadb.auth.token_authn.TokenAuthenticationServerProvider" +chroma_auth_token_transport_header = "X-Chroma-Token" +``` + +#### Client Set-Up + +Add the `CHROMA_CLIENT_AUTH_CREDENTIALS` environment variable to your local environment, and set it to the token you provided the server (`test-token` in this example): + +```terminal +export CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" +``` + +{% MarkdocTabs %} + +{% Tab label="python" %} + +We will use Chroma's `Settings` object to define the authentication method on the client. + +```python +import os +import chromadb +from chromadb.config import Settings +from dotenv import load_dotenv + +load_dotenv() + +client = chromadb.HttpClient( + host="", + port=8000, + settings=Settings( + chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", + chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") + ) +) + +client.heartbeat() +``` + +If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: + +```python +chroma_auth_token_transport_header=os.getenv("CHROMA_AUTH_TOKEN_TRANSPORT_HEADER") +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "", + auth: { + provider: "token", + credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS, + tokenHeaderType: process.env.CHROMA_AUTH_TOKEN_TRANSPORT_HEADER + } +}) + +chromaClient.heartbeat() +``` + +{% /Tab %} + +{% /MarkdocTabs %} + +## Observability with GCP + +Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. We currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). These should allow you to understand how requests flow through the system and quickly identify bottlenecks. + +Tracing is configured with four environment variables: + +- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. +- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. +- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. +- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. + +To enable tracing on your Chroma server, simply define the following variables in your `chroma.tfvars`: + +```text +chroma_otel_collection_endpoint = "api.honeycomb.com" +chroma_otel_service_name = "chromadb" +chroma_otel_collection_headers = "{'x-honeycomb-team': 'abc'}" +chroma_otel_granularity = "all" +``` \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/containers/docker.md b/docs/docs.trychroma.com/markdoc/content/production/containers/docker.md new file mode 100644 index 00000000000..ed3b657674b --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/containers/docker.md @@ -0,0 +1,397 @@ +# Docker + +{% Banner type="tip" %} + +**Hosted Chroma** + +Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. + +[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) + +{% /Banner %} + +{% Banner type="tip" %} + +If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. +This is the best place to + +1. Get support with building with Chroma in prod. +2. Stay up-to-date with exciting new features. +3. Get swag! + +We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. + +{% /Banner %} + +## Run Chroma in a Docker Container + +You can run a Chroma server in a Docker container, and access it using the `HttpClient`. + +If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. + +If you are using a client in a separate container from the one running your Chroma server, you may only need the [thin-client package](../chroma-server/python-thin-client) + +You can get the Chroma Docker image from [Docker Hub](https://hub.docker.com/r/chromadb/chroma), or from the [Chroma GitHub Container Registry](https://github.com/chroma-core/chroma/pkgs/container/chroma) + +```terminal +docker pull chromadb/chroma +docker run -p 8000:8000 chromadb/chroma +``` + +You can also build the Docker image yourself from the Dockerfile in the [Chroma GitHub repository](https://github.com/chroma-core/chroma) + +```terminal +git clone git@github.com:chroma-core/chroma.git +cd chroma +docker-compose up -d --build +``` + +The Chroma client can then be configured to connect to the server running in the Docker container. + +{% TabbedCodeBlock %} + +{% Tab label="python" %} +```python +import chromadb +chroma_client = chromadb.HttpClient(host='localhost', port=8000) +chroma_client.heartbeat() +``` +{% /Tab %} + +{% Tab label="typescript" %} +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ path: "http://localhost:8000" }) +chromaClient.heartbeat() +``` +{% /Tab %} + +{% /TabbedCodeBlock %} + +## Authentication with Docker + +By default, the Docker image will run with no authentication. In client/server mode, Chroma supports the following authentication methods: +* [RFC 7617](https://www.rfc-editor.org/rfc/rfc7617) Basic Auth with `user:password` base64-encoded `Authorization` header. +* Static auth token in `Authorization: Bearer ` or in `X-Chroma-Token: ` headers. + +You can learn more about authentication with Chroma in the [Auth Guide](../administration/auth). + +### Encrypted User:Password Authentication + +#### Server Set-Up + +##### Generate Server-Side Credentials + +{% note type="note" title="Security Practices" %} +A good security practice is to store the password securely. In the example below we use [bcrypt](https://en.wikipedia.org/wiki/Bcrypt) (currently the only supported hash in Chroma server side auth) to hash the plaintext password. If you'd like to see support for additional hash functions, feel free to [contribute](../../docs/overview/contributing) new ones! +{% /note %} + +To generate the password hash, run the following command: + +```terminal +docker run --rm --entrypoint htpasswd httpd:2 -Bbn admin admin > server.htpasswd +``` + +This creates the bcrypt password hash for the password `admin`, for the `admin` user, and puts it into `server.htpasswd` in your current working directory. It will look like `admin:`. + +##### Running the Server + +Create a `.chroma_env` file, and set in it the following environment variables: + +```text +CHROMA_SERVER_AUTHN_CREDENTIALS= +CHROMA_SERVER_AUTHN_PROVIDER=chromadb.auth.basic_authn.BasicAuthenticationServerProvider +``` + +Then, run the Chroma container, and pass it your `.chroma_env` using the `--env-file` flag: + +```terminal +docker run --env-file ./.chroma_env -p 8000:8000 chromadb/chroma +``` + +#### Client Set-Up + +In your client environment, set the `CHROMA_CLIENT_AUTH_CREDENTIALS` variable to the user:password combination (`admin:admin` in this example): + +```terminal +export CHROMA_CLIENT_AUTH_CREDENTIALS="admin:admin" +``` + +{% MarkdocTabs %} + +{% Tab label="python" %} + +Install `python-dotenv`. This will allow us to read the environment variables from `.chroma_env` easily: + +```shell +pip install python-dotenv +``` + +We will use Chroma's `Settings` object to define the authentication method on the client. + +```python +import os +import chromadb +from chromadb.config import Settings +from dotenv import load_dotenv + +load_dotenv('/path/to/your/.chroma_env') + +client = chromadb.HttpClient( + host="localhost", + port=8000, + settings=Settings( + chroma_client_auth_provider="chromadb.auth.basic_authn.BasicAuthClientProvider", + chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") + ) +) + +chroma_client.heartbeat() +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "http://localhost:8000", + auth: { + provider: "basic", + credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS + } +}) + +chromaClient.heartbeat() +``` + +{% /Tab %} + +{% /MarkdocTabs %} + +### Static API Token Authentication + +#### Server Set-Up + +{% Banner type="note" %} + +**Security Note** + +Current implementation of static API token auth supports only ENV based tokens. Tokens must be alphanumeric ASCII strings. Tokens are case-sensitive. + +{% /Banner %} + +If, for example, you want the static API token to be "test-token", add the following environment variables to your `.chroma_env`. This will set `Authorization: Bearer test-token` as your authentication header. + +```text +CHROMA_SERVER_AUTHN_CREDENTIALS=test-token +CHROMA_SERVER_AUTHN_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider +``` + +If instead of the default `Authorization: Bearer ` header, you want to use a custom one like `X-Chroma-Token: test-token`, you can set the `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` environment variable: + +```text +CHROMA_SERVER_AUTHN_CREDENTIALS=test-token +CHROMA_SERVER_AUTHN_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider +CHROMA_AUTH_TOKEN_TRANSPORT_HEADER=X-Chroma-Token +``` + +Then, run the Chroma server: + +```terminal +docker run --env-file ./.chroma_env -p 8000:8000 chromadb/chroma +``` + +To configure multiple tokens and use them for role-based access control (RBAC), use a file like [this](https://github.com/chroma-core/chroma/blob/main/examples/basic_functionality/authz/authz.yaml) and the following environment variables: + +```text +CHROMA_SERVER_AUTHN_CREDENTIALS_FILE= +CHROMA_SERVER_AUTHZ_CONFIG_FILE= # Note: these are the same! +CHROMA_SERVER_AUTHN_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider +CHROMA_SERVER_AUTHZ_PROVIDER=chromadb.auth.simple_rbac_authz.SimpleRBACAuthorizationProvider +``` + +In this case, you will have to set up a volume to allow the Chroma Docker container to use your `authz.yaml` file: + +```terminal +docker run --env-file ./.chroma_env -v :/chroma/ -p 8000:8000 chromadb/chroma +``` + +#### Client Set-Up + +{% MarkdocTabs %} + +{% Tab label="python" %} + +Install `python-dotenv`. This will allow us to read the environment variables from `.chroma_env` easily: + +```shell +pip install python-dotenv +``` + +We will use Chroma's `Settings` object to define the authentication method on the client. + +```python +import os +import chromadb +from chromadb.config import Settings +from dotenv import load_dotenv + +load_dotenv('/path/to/your/.chroma_env') + +client = chromadb.HttpClient( + host="localhost", + port=8000, + settings=Settings( + chroma_client_auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", + chroma_client_auth_credentials=os.getenv("CHROMA_CLIENT_AUTH_CREDENTIALS") + ) +) + +chroma_client.heartbeat() +``` + +If you are using a custom `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` (like `X-Chroma-Token`), add it to your `Settings`: + +```python +chroma_auth_token_transport_header=os.getenv("CHROMA_AUTH_TOKEN_TRANSPORT_HEADER") +``` + +{% /Tab %} + +{% Tab label="typescript" %} + +```typescript +import { ChromaClient } from "chromadb"; + +const chromaClient = new ChromaClient({ + path: "http://localhost:8000", + auth: { + provider: "token", + credentials: process.env.CHROMA_CLIENT_AUTH_CREDENTIALS, + tokenHeaderType: process.env.CHROMA_AUTH_TOKEN_TRANSPORT_HEADER + } +}) + +chromaClient.heartbeat() +``` + +{% /Tab %} + +{% /MarkdocTabs %} + +## Observability with Docker + +Chroma is instrumented with [OpenTelemetry](https://opentelemetry.io/) hooks for observability. We currently only exports OpenTelemetry [traces](https://opentelemetry.io/docs/concepts/signals/traces/). These should allow you to understand how requests flow through the system and quickly identify bottlenecks. + +Tracing is configured with four environment variables: + +- `CHROMA_OTEL_COLLECTION_ENDPOINT`: where to send observability data. Example: `api.honeycomb.com`. +- `CHROMA_OTEL_SERVICE_NAME`: Service name for OTel traces. Default: `chromadb`. +- `CHROMA_OTEL_COLLECTION_HEADERS`: Headers to use when sending observability data. Often used to send API and app keys. For example `{"x-honeycomb-team": "abc"}`. +- `CHROMA_OTEL_GRANULARITY`: A value from the [OpenTelemetryGranularity enum](https://github.com/chroma-core/chroma/tree/main/chromadb/telemetry/opentelemetry/__init__.py). Specifies how detailed tracing should be. + +Here is an example of how to create an observability stack with Docker-Compose. The stack is composed of a Chroma server, an [OpenTelemetry Collector](https://github.com/open-telemetry/opentelemetry-collector), and [Zipkin](https://zipkin.io/). + +Set the values for the observability and [authentication](/deployment/docker#authentication-with-docker) environment variables to suit your needs. + +Create the following `otel-collector-config.yaml`: + +```yaml +receivers: + otlp: + protocols: + grpc: + endpoint: 0.0.0.0:4317 + http: + endpoint: 0.0.0.0:4318 + +exporters: + debug: + zipkin: + endpoint: "http://zipkin:9411/api/v2/spans" + +service: + pipelines: + traces: + receivers: [otlp] + exporters: [zipkin, debug] +``` + +This is the configuration file for the OpenTelemetry Collector: +* The `recievers` section specifies that the OpenTelemetry protocol (OTLP) will be used to receive data over GRPC and HTTP. +* `exporters` defines that telemetry data is logged to the console (`debug`), and sent to a `zipkin` server (defined bellow in `docker-compose.yml`). +* The `service` section ties everything together, defining a `traces` pipeline receiving data through our `otlp` receiver and exporting data to `zipkin` and via logging. + +Create the following `docker-compose.yml`: + +```yaml +version: '3.9' +networks: + net: + +services: + zipkin: + image: openzipkin/zipkin + ports: + - "9411:9411" + depends_on: [otel-collector] + networks: + - net + otel-collector: + image: otel/opentelemetry-collector-contrib:0.111.0 + command: ["--config=/etc/otel-collector-config.yaml"] + volumes: + - ${PWD}/otel-collector-config.yaml:/etc/otel-collector-config.yaml + ports: + - "4317:4317" # OTLP + - "4318:4318" + - "55681:55681" # Legacy + networks: + - net + server: + image: ghcr.io/chroma-core/chroma:0.5.13 + volumes: + - index_data:/index_data + ports: + - "8000:8000" + networks: + - net + environment: + - CHROMA_SERVER_AUTHN_PROVIDER=${CHROMA_SERVER_AUTHN_PROVIDER} + - CHROMA_SERVER_AUTHN_CREDENTIALS_FILE=${CHROMA_SERVER_AUTHN_CREDENTIALS_FILE} + - CHROMA_SERVER_AUTHN_CREDENTIALS=${CHROMA_SERVER_AUTHN_CREDENTIALS} + - CHROMA_OTEL_COLLECTION_ENDPOINT=http://otel-collector:4317/ + - CHROMA_OTEL_EXPORTER_HEADERS=${CHROMA_OTEL_EXPORTER_HEADERS:-{}} + - CHROMA_OTEL_SERVICE_NAME=${CHROMA_OTEL_SERVICE_NAME:-chroma} + - CHROMA_OTEL_GRANULARITY=${CHROMA_OTEL_GRANULARITY:-all} + depends_on: + - otel-collector + - zipkin + + +volumes: + index_data: + driver: local + backups: + driver: local +``` + +To start the stack, run from the root of the repo: + +```terminal +docker compose up --build -d +``` + +Once the stack is running, you can access Zipkin at http://localhost:9411 when running locally to see your traces. + +{% Banner type="tip" %} + +**Traces** + +Traces in Zipkin will start appearing after you make a request to Chroma. + +{% /Banner %} \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/deployment.md b/docs/docs.trychroma.com/markdoc/content/production/deployment.md new file mode 100644 index 00000000000..4f89a4dba21 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/production/deployment.md @@ -0,0 +1,49 @@ +# Deployment + +{% Banner type="tip" %} + +**Hosted Chroma** + +Chroma Cloud, our fully managed hosted service, is in early access. Fill out the survey to jump the waitlist and get the best retrieval experience. Full access coming Q1 2025. + +[📝 30 second survey](https://airtable.com/shrOAiDUtS2ILy5vZ) + +{% /Banner %} + +{% Banner type="tip" %} + +If you are using Chroma in production, please fill out [this form](https://airtable.com/appqd02UuQXCK5AuY/pagr1D0NFQoNpUpNZ/form), and we will add you to a dedicated Slack workspace for supporting production users. +This is the best place to + +1. Get support with building with Chroma in prod. +2. Stay up-to-date with exciting new features. +3. Get swag! + +We would love to help you think through the design of your system, or if you would be a good fit for our upcoming distributed cloud service. + +{% /Banner %} + +You can run Chroma single-node in [client/server mode](./chroma-server/client-server-mode), and easily deploy it. In this section, we also show you how to make sure your Chroma server is secure and reliable, and how to understand its performance at scale. + + +### Containers +* [Docker](./containers/docker) +* Kubernetes - Coming Soon! + +### Cloud Providers + +* [AWS](./cloud-providers/aws) +* [GCP](./cloud-providers/gcp) +* [Azure](./cloud-providers/azure) + +*** + +### Administration + +Running a server in production requires a few additional steps to ensure the server is secure and reliable. + +* [Performance](./administration/performance) +* [Observability](./administration/observability) +* [Auth](./administration/auth) +* [Migration](./administration/migration) + diff --git a/docs/docs.trychroma.com/markdoc/content/reference/chroma-reference.md b/docs/docs.trychroma.com/markdoc/content/reference/chroma-reference.md new file mode 100644 index 00000000000..1ba8c54f81f --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/reference/chroma-reference.md @@ -0,0 +1,30 @@ +# Chroma Reference + +## Client APIs + +Chroma currently maintains 1st party clients for Python and Javascript. For other clients in other languages, use their repos for documentation. + +`Client` - is the object that wraps a connection to a backing Chroma DB + +`Collection` - is the object that wraps a collection + + +{% special_table %} +{% /special_table %} + +| | Client | Collection | +|--------------|-----------------------|-----------------------------------| +| Python | [Client](./python/client) | [Collection](./python/collection) | +| Javascript | [Client](./js/client) | [Collection](./js/collection) | + +*** + +## Backend API + +Chroma's backend Swagger REST API docs are viewable by running Chroma and navigating to `http://localhost:8000/docs`. + +```bash +pip install chromadb +chroma run +open http://localhost:8000/docs +``` diff --git a/docs/docs.trychroma.com/markdoc/content/reference/js/client.md b/docs/docs.trychroma.com/markdoc/content/reference/js/client.md new file mode 100644 index 00000000000..ec815ddbc10 --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/reference/js/client.md @@ -0,0 +1,272 @@ +# JS Client + +## Class: ChromaClient + +### constructor + +* `new ChromaClient(params?)` + +Creates a new ChromaClient instance. + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `ChromaClientParams` | The parameters for creating a new client | + +**Example** + +```typescript +const client = new ChromaClient({ + path: "http://localhost:8000" +}); +``` + +## Methods + +### countCollections + +* `countCollections(): Promise` + +Counts all collections. + +#### Returns + +`Promise` + +A promise that resolves to the number of collections. + +**Throws** + +If there is an issue counting the collections. + +**Example** + +```typescript +const collections = await client.countCollections(); +``` + +### createCollection + +* `createCollection(params): Promise` + +Creates a new collection with the specified properties. + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `CreateCollectionParams` | The parameters for creating a new collection. | + +#### Returns + +`Promise` + +A promise that resolves to the created collection. + +**Throws** + +* If the client is unable to connect to the server. +* If there is an issue creating the collection. + +**Example** + +```typescript +const collection = await client.createCollection({ + name: "my_collection", + metadata: { + "description": "My first collection" + } +}); +``` + +### deleteCollection + +* `deleteCollection(params): Promise` + +Deletes a collection with the specified name. + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `DeleteCollectionParams` | The parameters for deleting a collection. | + +#### Returns + +`Promise` + +A promise that resolves when the collection is deleted. + +**Throws** + +If there is an issue deleting the collection. + +**Example** + +```typescript +await client.deleteCollection({ + name: "my_collection" +}); +``` + +### getCollection + +`getCollection(params): Promise` + +Gets a collection with the specified name. + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `GetCollectionParams` | The parameters for getting a collection. | + +#### Returns + +`Promise` + +A promise that resolves to the collection. + +**Throws** + +If there is an issue getting the collection. + +**Example** + +```typescript +const collection = await client.getCollection({ + name: "my_collection" +}); +``` + +### getOrCreateCollection + +* `getOrCreateCollection(params): Promise` + +Gets or creates a collection with the specified properties. + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `CreateCollectionParams` | The parameters for creating a new collection. | + +#### Returns + +`Promise` + +A promise that resolves to the got or created collection. + +**Throws** + +If there is an issue getting or creating the collection. + +**Example** + +```typescript +const collection = await client.getOrCreateCollection({ + name: "my_collection", + metadata: { + "description": "My first collection" + } +}); +``` + +### heartbeat + +* `heartbeat(): Promise` + +Returns a heartbeat from the Chroma API. + +#### Returns + +`Promise` + +A promise that resolves to the heartbeat from the Chroma API. + +**Throws** + +If the client is unable to connect to the server. + +**Example** + +```typescript +const heartbeat = await client.heartbeat(); +``` + +### listCollections + +* `listCollections(params?): Promise` + +Lists all collections. + +#### Parameters + +| Name | Type | +|:---------| :------ | +| `params` | `ListCollectionsParams` | + +#### Returns + +`Promise` + +A promise that resolves to a list of collection names. + +**Throws** + +If there is an issue listing the collections. + +**Example** + +```typescript +const collections = await client.listCollections({ + limit: 10, + offset: 0, +}); +``` + +### reset + +* `reset(): Promise` + +Resets the state of the object by making an API call to the reset endpoint. + +#### Returns + +`Promise` + +A promise that resolves when the reset operation is complete. + +**Throws** + +* If the client is unable to connect to the server. +* If the server experienced an error while the state. + +**Example** + +```typescript +await client.reset(); +``` + +### version + +* `version(): Promise` + +Returns the version of the Chroma API. + +#### Returns + +`Promise` + +A promise that resolves to the version of the Chroma API. + +**Throws** + +If the client is unable to connect to the server. + +**Example** + +```typescript +const version = await client.version(); +``` diff --git a/docs/docs.trychroma.com/markdoc/content/reference/js/collection.md b/docs/docs.trychroma.com/markdoc/content/reference/js/collection.md new file mode 100644 index 00000000000..0b693b393ee --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/reference/js/collection.md @@ -0,0 +1,274 @@ +# Class: Collection + +## Properties + +* `id: string` +* `metadata: CollectionMetadata` +* `name: string` + +## Methods + +### add + +* `add(params): Promise` + +Add items to the collection + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `AddRecordsParams` | The parameters for the query. | + +#### Returns + +`Promise` + +- The response from the API. + +**Example** + +```typescript +const response = await collection.add({ + ids: ["id1", "id2"], + embeddings: [[1, 2, 3], [4, 5, 6]], + metadatas: [{ "key": "value" }, { "key": "value" }], + documents: ["document1", "document2"] +}); +``` + +### count + +* `count(): Promise` + +Count the number of items in the collection + +#### Returns + +`Promise` + +- The number of items in the collection. + +**Example** + +```typescript +const count = await collection.count(); +``` + +### delete + +* `delete(params?): Promise` + +Deletes items from the collection. + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `DeleteParams` | The parameters for deleting items from the collection. | + +#### Returns + +`Promise` + +A promise that resolves to the IDs of the deleted items. + +**Throws** + +If there is an issue deleting items from the collection. + +**Example** + +```typescript +const results = await collection.delete({ + ids: "some_id", + where: {"name": {"$eq": "John Doe"}}, + whereDocument: {"$contains":"search_string"} +}); +``` + +### get + +* `get(params?): Promise` + +Get items from the collection + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `BaseGetParams` | The parameters for the query. | + +#### Returns + +`Promise` + +The response from the server. + +**Example** + +```typescript +const response = await collection.get({ + ids: ["id1", "id2"], + where: { "key": "value" }, + limit: 10, + offset: 0, + include: ["embeddings", "metadatas", "documents"], + whereDocument: { $contains: "value" }, +}); +``` + +### modify + +* `modify(params): Promise` + +Modify the collection name or metadata + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `Object` | The parameters for the query. | +| `params.metadata?` | `CollectionMetadata` | Optional new metadata for the collection. | +| `params.name?` | `string` | Optional new name for the collection. | + +#### Returns + +`Promise` + +The response from the API. + +**Example** + +```typescript +const response = await client.updateCollection({ + name: "new name", + metadata: { "key": "value" }, +}); +``` + +### peek + +* `peek(params?): Promise` + +Peek inside the collection + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `PeekParams` | The parameters for the query. | + +#### Returns + +`Promise` + +A promise that resolves to the query results. + +**Throws** + +If there is an issue executing the query. + +**Example** + +```typescript +const results = await collection.peek({ + limit: 10 +}); +``` + +### query + +* `query(params): Promise` + +Performs a query on the collection using the specified parameters. + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `QueryRecordsParams` | The parameters for the query. | + +#### Returns + +`Promise` + +A promise that resolves to the query results. + +**Throws** + +If there is an issue executing the query. + +**Example** + +```typescript +// Query the collection using embeddings +const embeddingsResults = await collection.query({ + queryEmbeddings: [[0.1, 0.2, ...], ...], + nResults: 10, + where: {"name": {"$eq": "John Doe"}}, + include: ["metadata", "document"] +}); + +// Query the collection using query text +const textResults = await collection.query({ + queryTexts: "some text", + nResults: 10, + where: {"name": {"$eq": "John Doe"}}, + include: ["metadata", "document"] +}); +``` + +### update + +* `update(params): Promise` + +Update items in the collection + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `UpdateRecordsParams` | The parameters for the query. | + +#### Returns + +`Promise` + +**Example** + +```typescript +const response = await collection.update({ + ids: ["id1", "id2"], + embeddings: [[1, 2, 3], [4, 5, 6]], + metadatas: [{ "key": "value" }, { "key": "value" }], + documents: ["document1", "document2"], +}); +``` + +### upsert + +* `upsert(params): Promise` + +Upsert items to the collection + +#### Parameters + +| Name | Type | Description | +| :------ | :------ | :------ | +| `params` | `AddRecordsParams` | The parameters for the query. | + +#### Returns + +`Promise` + +**Example** + +```typescript +const response = await collection.upsert({ + ids: ["id1", "id2"], + embeddings: [[1, 2, 3], [4, 5, 6]], + metadatas: [{ "key": "value" }, { "key": "value" }], + documents: ["document1", "document2"], +}); +``` diff --git a/docs/docs.trychroma.com/markdoc/content/reference/python/client.md b/docs/docs.trychroma.com/markdoc/content/reference/python/client.md new file mode 100644 index 00000000000..1584a28d6df --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/reference/python/client.md @@ -0,0 +1,507 @@ +# Python Client + +## configure + +```python +def configure(**kwargs) -> None +``` + +Override Chroma's default settings, environment variables or .env files + +## EphemeralClient + +```python +def EphemeralClient(settings: Optional[Settings] = None, + tenant: str = DEFAULT_TENANT, + database: str = DEFAULT_DATABASE) -> ClientAPI +``` + +Creates an in-memory instance of Chroma. This is useful for testing and +development, but not recommended for production use. + +**Arguments**: + +- `tenant` - The tenant to use for this client. Defaults to the default tenant. +- `database` - The database to use for this client. Defaults to the default database. + +## PersistentClient + +```python +def PersistentClient(path: str = "./chroma", + settings: Optional[Settings] = None, + tenant: str = DEFAULT_TENANT, + database: str = DEFAULT_DATABASE) -> ClientAPI +``` + +Creates a persistent instance of Chroma that saves to disk. This is useful for +testing and development, but not recommended for production use. + +**Arguments**: + +- `path` - The directory to save Chroma's data to. Defaults to "./chroma". +- `tenant` - The tenant to use for this client. Defaults to the default tenant. +- `database` - The database to use for this client. Defaults to the default database. + +## HttpClient + +```python +def HttpClient(host: str = "localhost", + port: int = 8000, + ssl: bool = False, + headers: Optional[Dict[str, str]] = None, + settings: Optional[Settings] = None, + tenant: str = DEFAULT_TENANT, + database: str = DEFAULT_DATABASE) -> ClientAPI +``` + +Creates a client that connects to a remote Chroma server. This supports +many clients connecting to the same server, and is the recommended way to +use Chroma in production. + +**Arguments**: + +- `host` - The hostname of the Chroma server. Defaults to "localhost". +- `port` - The port of the Chroma server. Defaults to "8000". +- `ssl` - Whether to use SSL to connect to the Chroma server. Defaults to False. +- `headers` - A dictionary of headers to send to the Chroma server. Defaults to {}. +- `settings` - A dictionary of settings to communicate with the chroma server. +- `tenant` - The tenant to use for this client. Defaults to the default tenant. +- `database` - The database to use for this client. Defaults to the default database. + +## AsyncHttpClient + +```python +async def AsyncHttpClient(host: str = "localhost", + port: int = 8000, + ssl: bool = False, + headers: Optional[Dict[str, str]] = None, + settings: Optional[Settings] = None, + tenant: str = DEFAULT_TENANT, + database: str = DEFAULT_DATABASE) -> AsyncClientAPI +``` + +Creates an async client that connects to a remote Chroma server. This supports +many clients connecting to the same server, and is the recommended way to +use Chroma in production. + +**Arguments**: + +- `host` - The hostname of the Chroma server. Defaults to "localhost". +- `port` - The port of the Chroma server. Defaults to "8000". +- `ssl` - Whether to use SSL to connect to the Chroma server. Defaults to False. +- `headers` - A dictionary of headers to send to the Chroma server. Defaults to {}. +- `settings` - A dictionary of settings to communicate with the chroma server. +- `tenant` - The tenant to use for this client. Defaults to the default tenant. +- `database` - The database to use for this client. Defaults to the default database. + +## CloudClient + +```python +def CloudClient(tenant: str, + database: str, + api_key: Optional[str] = None, + settings: Optional[Settings] = None, + *, + cloud_host: str = "api.trychroma.com", + cloud_port: int = 8000, + enable_ssl: bool = True) -> ClientAPI +``` + +Creates a client to connect to a tenant and database on the Chroma cloud. + +**Arguments**: + +- `tenant` - The tenant to use for this client. +- `database` - The database to use for this client. +- `api_key` - The api key to use for this client. + +## Client + +```python +def Client(settings: Settings = __settings, + tenant: str = DEFAULT_TENANT, + database: str = DEFAULT_DATABASE) -> ClientAPI +``` + +Return a running `chroma.API` instance + +**Arguments**: + +* `tenant`: The tenant to use for this client. Defaults to the `default` tenant. +* `database`: The database to use for this client. Defaults to the `default` database. + +## AdminClient + +```python +def AdminClient(settings: Settings = Settings()) -> AdminAPI +``` + +Creates an admin client that can be used to create tenants and databases. + +*** + +# BaseClient Methods + +```python +class BaseAPI(ABC) +``` + +## heartbeat + +```python +def heartbeat() -> int +``` + +Get the current time in nanoseconds since epoch. +Used to check if the server is alive. + +**Returns**: + +- `int` - The current time in nanoseconds since epoch + +## count\_collections + +```python +def count_collections() -> int +``` + +Count the number of collections. + +**Returns**: + +- `int` - The number of collections. + + +**Examples**: + +```python +client.count_collections() +# 1 +``` + +## delete\_collection + +```python +def delete_collection(name: str) -> None +``` + +Delete a collection with the given name. + +**Arguments**: + +- `name` - The name of the collection to delete. + + +**Raises**: + +- `ValueError` - If the collection does not exist. + + +**Examples**: + + ```python + client.delete_collection("my_collection") + ``` + +## reset + +```python +def reset() -> bool +``` + +Resets the database. This will delete all collections and entries. + +**Returns**: + +- `bool` - True if the database was reset successfully. + +## get\_version + +```python +def get_version() -> str +``` + +Get the version of Chroma. + +**Returns**: + +- `str` - The version of Chroma + +## get\_settings + +```python +def get_settings() -> Settings +``` + +Get the settings used to initialize. + +**Returns**: + +- `Settings` - The settings used to initialize. + +## get\_max\_batch\_size + +```python +def get_max_batch_size() -> int +``` + +Return the maximum number of records that can be created or mutated in a single call. + +*** + +# ClientClient Methods + +```python +class ClientAPI(BaseAPI, ABC) +``` + +## list\_collections + +```python +def list_collections(limit: Optional[int] = None, + offset: Optional[int] = None) -> Sequence[Collection] +``` + +List all collections. + +**Arguments**: + +- `limit` - The maximum number of entries to return. Defaults to None. +- `offset` - The number of entries to skip before returning. Defaults to None. + + +**Returns**: + +- `Sequence[Collection]` - A list of collections + + +**Examples**: + +```python +client.list_collections() +# [collection(name="my_collection", metadata={})] +``` + +## create_collection + +```python +def create_collection(name: str, + configuration: Optional[CollectionConfiguration] = None, + metadata: Optional[CollectionMetadata] = None, + embedding_function: Optional[EmbeddingFunction[ + Embeddable]] = ef.DefaultEmbeddingFunction(), + data_loader: Optional[DataLoader[Loadable]] = None, + get_or_create: bool = False) -> Collection +``` + +Create a new collection with the given name and metadata. + +**Arguments**: + +- `name` - The name of the collection to create. +- `metadata` - Optional metadata to associate with the collection. +- `embedding_function` - Optional function to use to embed documents. + Uses the default embedding function if not provided. +- `get_or_create` - If True, return the existing collection if it exists. +- `data_loader` - Optional function to use to load records (documents, images, etc.) + + +**Returns**: + +- `Collection` - The newly created collection. + + +**Raises**: + +- `ValueError` - If the collection already exists and get_or_create is False. +- `ValueError` - If the collection name is invalid. + + +**Examples**: + +```python +client.create_collection("my_collection") +# collection(name="my_collection", metadata={}) + +client.create_collection("my_collection", metadata={"foo": "bar"}) +# collection(name="my_collection", metadata={"foo": "bar"}) +``` + +## get_collection + +```python +def get_collection( + name: str, + id: Optional[UUID] = None, + embedding_function: Optional[ + EmbeddingFunction[Embeddable]] = ef.DefaultEmbeddingFunction(), + data_loader: Optional[DataLoader[Loadable]] = None) -> Collection +``` + +Get a collection with the given name. + +**Arguments**: + +- `id` - The UUID of the collection to get. Id and Name are simultaneously used for lookup if provided. +- `name` - The name of the collection to get +- `embedding_function` - Optional function to use to embed documents. + Uses the default embedding function if not provided. +- `data_loader` - Optional function to use to load records (documents, images, etc.) + + +**Returns**: + +- `Collection` - The collection + + +**Raises**: + +- `ValueError` - If the collection does not exist + + +**Examples**: + + ```python + client.get_collection("my_collection") + # collection(name="my_collection", metadata={}) + ``` + +## get\_or\_create\_collection + +```python +def get_or_create_collection( + name: str, + configuration: Optional[CollectionConfiguration] = None, + metadata: Optional[CollectionMetadata] = None, + embedding_function: Optional[ + EmbeddingFunction[Embeddable]] = ef.DefaultEmbeddingFunction(), + data_loader: Optional[DataLoader[Loadable]] = None) -> Collection +``` + +Get or create a collection with the given name and metadata. + +**Arguments**: + +- `name` - The name of the collection to get or create +- `metadata` - Optional metadata to associate with the collection. If + the collection alredy exists, the metadata will be ignored. If the collection does not exist, the + new collection will be created with the provided metadata. +- `embedding_function` - Optional function to use to embed documents +- `data_loader` - Optional function to use to load records (documents, images, etc.) + + +**Returns**: + + The collection + + +**Examples**: + + ```python + client.get_or_create_collection("my_collection") + # collection(name="my_collection", metadata={}) + ``` + +## set_tenant + +```python +def set_tenant(tenant: str, database: str = DEFAULT_DATABASE) -> None +``` + +Set the tenant and database for the client. Raises an error if the tenant or +database does not exist. + +**Arguments**: + +- `tenant` - The tenant to set. +- `database` - The database to set. + +## set_database + +```python +def set_database(database: str) -> None +``` + +Set the database for the client. Raises an error if the database does not exist. + +**Arguments**: + +- `database` - The database to set. + +## clear_system_cache + +```python +@staticmethod +def clear_system_cache() -> None +``` + +Clear the system cache so that new systems can be created for an existing path. +This should only be used for testing purposes. + +*** + +# AdminClient Methods + +```python +class AdminAPI(ABC) +``` + +## create_database + +```python +def create_database(name: str, tenant: str = DEFAULT_TENANT) -> None +``` + +Create a new database. Raises an error if the database already exists. + +**Arguments**: + +- `database` - The name of the database to create. + +## get_database + +```python +def get_database(name: str, tenant: str = DEFAULT_TENANT) -> Database +``` + +Get a database. Raises an error if the database does not exist. + +**Arguments**: + +- `database` - The name of the database to get. +- `tenant` - The tenant of the database to get. + +## create_tenant + +```python +def create_tenant(name: str) -> None +``` + +Create a new tenant. Raises an error if the tenant already exists. + +**Arguments**: + +- `tenant` - The name of the tenant to create. + +## get_tenant + +```python +def get_tenant(name: str) -> Tenant +``` + +Get a tenant. Raises an error if the tenant does not exist. + +**Arguments**: + +- `tenant` - The name of the tenant to get. + +*** + +# ServerClient Methods + +```python +class ServerAPI(BaseAPI, AdminAPI, Component) +``` + +An API instance that extends the relevant Base API methods by passing +in a tenant and database. This is the root component of the Chroma System diff --git a/docs/docs.trychroma.com/markdoc/content/reference/python/collection.md b/docs/docs.trychroma.com/markdoc/content/reference/python/collection.md new file mode 100644 index 00000000000..208122e6d8f --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/reference/python/collection.md @@ -0,0 +1,218 @@ +--- +title: Collection +--- + +# Python Collection + +```python +class Collection(BaseModel) +``` + +## count + +```python +def count() -> int +``` + +The total number of embeddings added to the database + +**Returns**: + +- `int` - The total number of embeddings added to the database + +## add + +```python +def add(ids: OneOrMany[ID], + embeddings: Optional[OneOrMany[Embedding]] = None, + metadatas: Optional[OneOrMany[Metadata]] = None, + documents: Optional[OneOrMany[Document]] = None) -> None +``` + +Add embeddings to the data store. + +**Arguments**: + +- `ids` - The ids of the embeddings you wish to add +- `embeddings` - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional. +- `metadatas` - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional. +- `documents` - The documents to associate with the embeddings. Optional. + + +**Returns**: + + None + + +**Raises**: + +- `ValueError` - If you don't provide either embeddings or documents +- `ValueError` - If the length of ids, embeddings, metadatas, or documents don't match +- `ValueError` - If you don't provide an embedding function and don't provide embeddings +- `DuplicateIDError` - If you provide an id that already exists + +## get + +```python +def get(ids: Optional[OneOrMany[ID]] = None, + where: Optional[Where] = None, + limit: Optional[int] = None, + offset: Optional[int] = None, + where_document: Optional[WhereDocument] = None, + include: Include = ["metadatas", "documents"]) -> GetResult +``` + +Get embeddings and their associate data from the data store. If no ids or where filter is provided returns +all embeddings up to limit starting at offset. + +**Arguments**: + +- `ids` - The ids of the embeddings to get. Optional. +- `where` - A Where type dict used to filter results by. E.g. `{"color" : "red", "price": 4.20}`. Optional. +- `limit` - The number of documents to return. Optional. +- `offset` - The offset to start returning results from. Useful for paging results with limit. Optional. +- `where_document` - A WhereDocument type dict used to filter by the documents. E.g. `{$contains: {"text": "hello"}}`. Optional. +- `include` - A list of what to include in the results. Can contain `"embeddings"`, `"metadatas"`, `"documents"`. Ids are always included. Defaults to `["metadatas", "documents"]`. Optional. + + +**Returns**: + +- `GetResult` - A GetResult object containing the results. + +## peek + +```python +def peek(limit: int = 10) -> GetResult +``` + +Get the first few results in the database up to limit + +**Arguments**: + +- `limit` - The number of results to return. + + +**Returns**: + +- `GetResult` - A GetResult object containing the results. + +## query + +```python +def query( + query_embeddings: Optional[OneOrMany[Embedding]] = None, + query_texts: Optional[OneOrMany[Document]] = None, + n_results: int = 10, + where: Optional[Where] = None, + where_document: Optional[WhereDocument] = None, + include: Include = ["metadatas", "documents", + "distances"]) -> QueryResult +``` + +Get the n_results nearest neighbor embeddings for provided query_embeddings or query_texts. + +**Arguments**: + +- `query_embeddings` - The embeddings to get the closes neighbors of. Optional. +- `query_texts` - The document texts to get the closes neighbors of. Optional. +- `n_results` - The number of neighbors to return for each query_embedding or query_texts. Optional. +- `where` - A Where type dict used to filter results by. E.g. `{"color" : "red", "price": 4.20}`. Optional. +- `where_document` - A WhereDocument type dict used to filter by the documents. E.g. `{$contains: {"text": "hello"}}`. Optional. +- `include` - A list of what to include in the results. Can contain `"embeddings"`, `"metadatas"`, `"documents"`, `"distances"`. Ids are always included. Defaults to `["metadatas", "documents", "distances"]`. Optional. + + +**Returns**: + +- `QueryResult` - A QueryResult object containing the results. + + +**Raises**: + +- `ValueError` - If you don't provide either query_embeddings or query_texts +- `ValueError` - If you provide both query_embeddings and query_texts + +## modify + +```python +def modify(name: Optional[str] = None, + metadata: Optional[CollectionMetadata] = None) -> None +``` + +Modify the collection name or metadata + +**Arguments**: + +- `name` - The updated name for the collection. Optional. +- `metadata` - The updated metadata for the collection. Optional. + + +**Returns**: + + None + +## update + +```python +def update(ids: OneOrMany[ID], + embeddings: Optional[OneOrMany[Embedding]] = None, + metadatas: Optional[OneOrMany[Metadata]] = None, + documents: Optional[OneOrMany[Document]] = None) -> None +``` + +Update the embeddings, metadatas or documents for provided ids. + +**Arguments**: + +- `ids` - The ids of the embeddings to update +- `embeddings` - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional. +- `metadatas` - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional. +- `documents` - The documents to associate with the embeddings. Optional. + + +**Returns**: + + None + +## upsert + +```python +def upsert(ids: OneOrMany[ID], + embeddings: Optional[OneOrMany[Embedding]] = None, + metadatas: Optional[OneOrMany[Metadata]] = None, + documents: Optional[OneOrMany[Document]] = None) -> None +``` + +Update the embeddings, metadatas or documents for provided ids, or create them if they don't exist. + +**Arguments**: + +- `ids` - The ids of the embeddings to update +- `embeddings` - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional. +- `metadatas` - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional. +- `documents` - The documents to associate with the embeddings. Optional. + + +**Returns**: + + None + +## delete + +```python +def delete(ids: Optional[IDs] = None, + where: Optional[Where] = None, + where_document: Optional[WhereDocument] = None) -> None +``` + +Delete the embeddings based on ids and/or a where filter + +**Arguments**: + +- `ids` - The ids of the embeddings to delete +- `where` - A Where type dict used to filter the delection by. E.g. `{"color" : "red", "price": 4.20}`. Optional. +- `where_document` - A WhereDocument type dict used to filter the deletion by the document content. E.g. `{$contains: {"text": "hello"}}`. Optional. + + +**Returns**: + + None diff --git a/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts b/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts new file mode 100644 index 00000000000..afc0e330a8a --- /dev/null +++ b/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts @@ -0,0 +1,191 @@ +import { + BlocksIcon, + BookText, + GraduationCap, + RocketIcon, + SquareTerminalIcon, + WrenchIcon, +} from "lucide-react"; +import { AppSection } from "@/lib/content"; + +const sidebarConfig: AppSection[] = [ + { + id: "docs", + name: "Docs", + default: "/overview/introduction", + icon: BookText, + subsections: [ + { + id: "overview", + name: "Overview", + pages: [ + { + id: "introduction", + name: "Introduction", + }, + { + id: "getting-started", + name: "Getting Started", + }, + { + id: "roadmap", + name: "Roadmap", + }, + { + id: "contributing", + name: "Contributing", + }, + { + id: "telemetry", + name: "Telemetry", + }, + { + id: "about", + name: "About", + }, + ], + }, + { + id: "run-chroma", + name: "Run Chroma", + pages: [ + { id: "ephemeral-client", name: "Ephemeral Client" }, + { id: "persistent-client", name: "Persistent Client" }, + { id: "client-server", name: "Client-Server Mode" }, + { id: "python-http-client", name: "Python HTTP-Only Client" }, + ], + }, + { + id: "collections", + name: "Collections", + pages: [ + { id: "create-get-delete", name: "Create, Get, Delete" }, + { id: "configure", name: "Configure" }, + { id: "add-data", name: "Add Data" }, + { id: "update-data", name: "Update Data" }, + { id: "delete-data", name: "Delete Data" }, + ], + }, + { + id: "querying-collections", + name: "Querying Collections", + pages: [ + { id: "query-and-get", name: "Query And Get" }, + { id: "metadata-filtering", name: "Metadata Filtering" }, + { id: "full-text-search", name: "Full Text Search" }, + ], + }, + { + id: "embeddings", + name: "Embeddings", + pages: [ + { id: "embedding-functions", name: "Embedding Functions" }, + { id: "multimodal", name: "Multimodal" }, + ], + }, + ], + }, + { + id: "production", + name: "Production", + default: "deployment", + icon: RocketIcon, + pages: [{ id: "deployment", name: "Deployment" }], + subsections: [ + { + id: "chroma-server", + name: "Chroma Server", + pages: [ + { id: "client-server-mode", name: "Client Server Mode" }, + { id: "python-thin-client", name: "Python Thin Client" }, + ], + }, + { + id: "containers", + name: "Containers", + pages: [{ id: "docker", name: "Docker" }], + }, + { + id: "cloud-providers", + name: "Cloud Providers", + pages: [ + { id: "aws", name: "AWS" }, + { id: "azure", name: "Azure" }, + { id: "gcp", name: "GCP" }, + ], + }, + { + id: "administration", + name: "Administration", + pages: [ + { id: "performance", name: "Performance" }, + { id: "auth", name: "Auth" }, + { id: "observability", name: "Observability" }, + { id: "migration", name: "Migration" }, + ], + }, + ], + }, + { + id: "integrations", + name: "Integrations", + default: "chroma-integrations", + icon: BlocksIcon, + pages: [{ id: "chroma-integrations", name: "Chroma Integrations" }], + subsections: [ + { + id: "embedding-models", + name: "Embedding Models", + generatePages: true, + }, + { + id: "frameworks", + name: "Frameworks", + generatePages: true, + }, + ], + }, + { + id: "cli", + name: "CLI", + default: "install-and-run", + icon: SquareTerminalIcon, + pages: [ + { id: "install-and-run", name: "Install and run" }, + { id: "vacuum", name: "Vacuum" }, + ], + }, + { + id: "reference", + name: "Reference", + icon: WrenchIcon, + default: "chroma-reference", + pages: [{ id: "chroma-reference", name: "Chroma Reference" }], + subsections: [ + { + id: "python", + name: "Python", + pages: [ + { id: "client", name: "Client" }, + { id: "collection", name: "Collection" }, + ], + }, + { + id: "js", + name: "JavaScript/Typescript", + pages: [ + { id: "client", name: "Client" }, + { id: "collection", name: "Collection" }, + ], + }, + ], + }, + { + id: "learn", + name: "Learn", + icon: GraduationCap, + comingSoon: true, + }, +]; + +export default sidebarConfig; diff --git a/docs/docs.trychroma.com/markdoc/functions.ts b/docs/docs.trychroma.com/markdoc/functions.ts deleted file mode 100644 index 76794fed3a8..00000000000 --- a/docs/docs.trychroma.com/markdoc/functions.ts +++ /dev/null @@ -1,16 +0,0 @@ -/* Use this file to export your Markdoc functions */ - -export const includes = { - transform(parameters) { - const [array, value] = Object.values(parameters); - - return Array.isArray(array) ? array.includes(value) : false; - }, -}; - -export const upper = { - transform(parameters) { - const string = parameters[0]; - return typeof string === 'string' ? string.toUpperCase() : string; - }, -}; diff --git a/docs/docs.trychroma.com/markdoc/nodes/fence.markdoc.tsx b/docs/docs.trychroma.com/markdoc/nodes/fence.markdoc.tsx deleted file mode 100644 index 5d8d5e68d6d..00000000000 --- a/docs/docs.trychroma.com/markdoc/nodes/fence.markdoc.tsx +++ /dev/null @@ -1,21 +0,0 @@ -import {Tag, nodes} from '@markdoc/markdoc'; -import {CodeBlock} from '../../components/CodeBlock'; - -export const fence = { - render: CodeBlock, - attributes: { - filename: { - type: String, - }, - codetab: { - type: Boolean - }, - ...nodes.fence.attributes, - }, - transform(node, config) { - const attributes = node.transformAttributes(config); - const {language} = node.children[0].attributes; - const content = node.attributes.content; - return new Tag(this.render, {...attributes, language}, [content]); - }, -}; diff --git a/docs/docs.trychroma.com/markdoc/nodes/heading.markdoc.ts b/docs/docs.trychroma.com/markdoc/nodes/heading.markdoc.ts deleted file mode 100644 index 81bff9851f5..00000000000 --- a/docs/docs.trychroma.com/markdoc/nodes/heading.markdoc.ts +++ /dev/null @@ -1,31 +0,0 @@ -import {Tag} from '@markdoc/markdoc'; -import {Heading} from '../../components/markdoc/Heading'; - -function generateID(children, attributes) { - if (attributes.id && typeof attributes.id === 'string') { - return attributes.id; - } - return children - .filter((child) => typeof child === 'string') - .join(' ') - .replace(/[?]/g, '') - .replace(/\s+/g, '-') - .toLowerCase(); -} - -export const heading = { - render: Heading, - children: ['inline'], - attributes: { - id: {type: String}, - level: {type: Number, required: true, default: 1}, - className: {type: String}, - }, - transform(node, config) { - const attributes = node.transformAttributes(config); - const children = node.transformChildren(config); - const id = generateID(children, attributes); - - return new Tag(this.render, {...attributes, id}, children); - }, -}; diff --git a/docs/docs.trychroma.com/markdoc/nodes/index.ts b/docs/docs.trychroma.com/markdoc/nodes/index.ts deleted file mode 100644 index 321c47e7461..00000000000 --- a/docs/docs.trychroma.com/markdoc/nodes/index.ts +++ /dev/null @@ -1,4 +0,0 @@ -/* Use this file to export your markdoc nodes */ -export * from './fence.markdoc'; -export * from './heading.markdoc'; -export * from './link.markdoc'; diff --git a/docs/docs.trychroma.com/markdoc/nodes/link.markdoc.ts b/docs/docs.trychroma.com/markdoc/nodes/link.markdoc.ts deleted file mode 100644 index 45a7d5146f1..00000000000 --- a/docs/docs.trychroma.com/markdoc/nodes/link.markdoc.ts +++ /dev/null @@ -1,9 +0,0 @@ -// @ts-expect-error markdocs doesn't yet expose this properly -import { link as NextLink } from '@markdoc/next.js/tags'; - -import { AppLink } from '../../components/markdoc/AppLink'; - -export const link = { - ...NextLink, - render: AppLink -}; diff --git a/docs/docs.trychroma.com/markdoc/partials/header.md b/docs/docs.trychroma.com/markdoc/partials/header.md deleted file mode 100644 index a217deb5c3c..00000000000 --- a/docs/docs.trychroma.com/markdoc/partials/header.md +++ /dev/null @@ -1 +0,0 @@ -# Chroma Docs diff --git a/docs/docs.trychroma.com/markdoc/tags/codetabs.markdoc.ts b/docs/docs.trychroma.com/markdoc/tags/codetabs.markdoc.ts deleted file mode 100644 index 70f6c5166fb..00000000000 --- a/docs/docs.trychroma.com/markdoc/tags/codetabs.markdoc.ts +++ /dev/null @@ -1,34 +0,0 @@ -import { Tag } from '@markdoc/markdoc'; -import { CodeTabs } from '../../components/markdoc/CodeTabs'; -import { CodeTab } from '../../components/markdoc/CodeTab'; -// import { CodeBlock } from '../../components/CodeBlock'; - -export const codetabs = { - render: CodeTabs, - attributes: { - group: { - type: String - }, - customHeader: { - type: String - } - }, - transform(node, config) { - const attributes = node.transformAttributes(config); - const labels = node - .transformChildren(config) - .filter((child) => child && child.name === 'Codetab') - .map((tab) => (typeof tab === 'object' ? tab.attributes.label : null)); - - return new Tag(this.render, { ...attributes, labels }, node.transformChildren(config)); - } -}; - -export const codetab = { - render: CodeTab, - attributes: { - label: { - type: String - }, - } -}; diff --git a/docs/docs.trychroma.com/markdoc/tags/index.ts b/docs/docs.trychroma.com/markdoc/tags/index.ts deleted file mode 100644 index 1fb87a54375..00000000000 --- a/docs/docs.trychroma.com/markdoc/tags/index.ts +++ /dev/null @@ -1,5 +0,0 @@ -/* Use this file to export your markdoc tags */ -export * from './tabs.markdoc' -export {note, br, math} from './note.markdoc'; -export {special_table} from './special_table.markdoc'; -export {codetabs, codetab} from './codetabs.markdoc'; diff --git a/docs/docs.trychroma.com/markdoc/tags/note.markdoc.ts b/docs/docs.trychroma.com/markdoc/tags/note.markdoc.ts deleted file mode 100644 index 912001b5074..00000000000 --- a/docs/docs.trychroma.com/markdoc/tags/note.markdoc.ts +++ /dev/null @@ -1,28 +0,0 @@ -import MathComponent from "../../components/markdoc/Math"; -import { Note } from "../../components/markdoc/Note"; -import { Br } from "../../components/markdoc/misc"; - -export const note = { - render: Note, - attributes: { - type: { - type: String - }, - title: { - type: String - }, - } -}; - -export const br = { - render: Br, -}; - -export const math = { - render: MathComponent, - attributes: { - latexText: { - type: String - }, - } -}; diff --git a/docs/docs.trychroma.com/markdoc/tags/special_table.markdoc.ts b/docs/docs.trychroma.com/markdoc/tags/special_table.markdoc.ts deleted file mode 100644 index 647c390655a..00000000000 --- a/docs/docs.trychroma.com/markdoc/tags/special_table.markdoc.ts +++ /dev/null @@ -1,10 +0,0 @@ -import { SpecialTable } from "../../components/markdoc/SpecialTable"; - -export const special_table = { - render: SpecialTable, - attributes: { - label: { - type: String - }, - } - }; diff --git a/docs/docs.trychroma.com/markdoc/tags/tabs.markdoc.ts b/docs/docs.trychroma.com/markdoc/tags/tabs.markdoc.ts deleted file mode 100644 index 1765829866b..00000000000 --- a/docs/docs.trychroma.com/markdoc/tags/tabs.markdoc.ts +++ /dev/null @@ -1,36 +0,0 @@ -import { Tag } from '@markdoc/markdoc'; -import { Tabs } from '../../components/markdoc/Tabs'; -import { Tab } from '../../components/markdoc/Tab'; - -export const tabs = { - render: Tabs, - attributes: { - group: { - type: String - }, - hideTabs: { - type: Boolean - }, - hideContent: { - type: Boolean - } - }, - transform(node, config) { - const attributes = node.transformAttributes(config); - const labels = node - .transformChildren(config) - .filter((child) => child && child.name === 'Tab') - .map((tab) => (typeof tab === 'object' ? tab.attributes.label : null)); - - return new Tag(this.render, { ...attributes, labels }, node.transformChildren(config)); - } -}; - -export const tab = { - render: Tab, - attributes: { - label: { - type: String - }, - } -}; diff --git a/docs/docs.trychroma.com/middleware.ts b/docs/docs.trychroma.com/middleware.ts new file mode 100644 index 00000000000..96e27a4411c --- /dev/null +++ b/docs/docs.trychroma.com/middleware.ts @@ -0,0 +1,59 @@ +import { NextRequest, NextResponse } from "next/server"; + +const legacyPathsMapping: Record = { + "/getting-started": "/docs/overview/getting-started", + "/guides": "/docs/run-chroma/ephemeral-client", + "/guides/embeddings": "/docs/embeddings/embedding-functions", + "/guides/multimodal": "/docs/embeddings/multimodal", + "/integrations": "/integrations/chroma-integrations", + "/integrations/openai": "/integrations/embedding-models/openai", + "/integrations/cohere": "/integrations/embedding-models/cohere", + "/integrations/google-gemini": "/integrations/embedding-models/google-gemini", + "/integrations/hugging-face-server": + "/integrations/embedding-models/hugging-face-server", + "/integrations/hugging-face": "/integrations/embedding-models/hugging-face", + "/integrations/instructor": "/integrations/embedding-models/instructor", + "/integrations/jinaai": "/integrations/embedding-models/jina-ai", + "/integrations/ollama": "/integrations/embedding-models/ollama", + "/integrations/roboflow": "/integrations/embedding-models/roboflow", + "/integrations/langchain": "/integrations/frameworks/langchain", + "/integrations/llamaindex": "/integrations/frameworks/llamaindex", + "/integrations/braintrust": "/integrations/frameworks/braintrust", + "/integrations/haystack": "/integrations/frameworks/haystack", + "/integrations/openllmetry": "/integrations/frameworks/openllmetry", + "/integrations/streamlit": "/integrations/frameworks/streamlit", + "/integrations/openlit": "/integrations/frameworks/openlit", + "/deployment": "/production/deployment", + "/deployment/client-server-mode": + "/production/chroma-server/client-server-mode", + "/deployment/thin-client": "/production/chroma-server/python-thin-client", + "/deployment/docker": "/production/containers/docker", + "/deployment/aws": "/production/cloud-providers/aws", + "/deployment/azure": "/production/cloud-providers/azure", + "/deployment/gcp": "/production/cloud-providers/gcp", + "/deployment/performance": "/production/administration/performance", + "/deployment/observability": "/production/administration/observability", + "/deployment/migration": "/production/administration/migration", + "/deployment/auth": "/production/administration/auth", + "/telemetry": "/docs/overview/telemetry", + "/roadmap": "/docs/overview/roadmap", + "/contributing": "/docs/overview/contributing", + "/about": "/docs/overview/about", + "/reference": "/reference/chroma-reference", + "/reference/py-client": "/reference/python/client", + "/reference/py-collection": "/reference/python/collection", + "/reference/js-client": "/reference/js/client", + "/reference/js-collection": "/reference/js/collection", + "/reference/cli": "/cli/run", +}; + +export const middleware = (request: NextRequest) => { + const path = request.nextUrl.pathname; + + if (path in legacyPathsMapping) { + const currentPath = legacyPathsMapping[path]; + return NextResponse.redirect(new URL(currentPath, request.url)); + } + + return NextResponse.next(); +}; diff --git a/docs/docs.trychroma.com/next-env.d.ts b/docs/docs.trychroma.com/next-env.d.ts index a4a7b3f5cfa..40c3d68096c 100644 --- a/docs/docs.trychroma.com/next-env.d.ts +++ b/docs/docs.trychroma.com/next-env.d.ts @@ -2,4 +2,4 @@ /// // NOTE: This file should not be edited -// see https://nextjs.org/docs/pages/building-your-application/configuring/typescript for more information. +// see https://nextjs.org/docs/app/building-your-application/configuring/typescript for more information. diff --git a/docs/docs.trychroma.com/next.config.js b/docs/docs.trychroma.com/next.config.js deleted file mode 100644 index 32db6416d53..00000000000 --- a/docs/docs.trychroma.com/next.config.js +++ /dev/null @@ -1,6 +0,0 @@ -const withMarkdoc = require('@markdoc/next.js'); - -module.exports = - withMarkdoc(/* config: https://markdoc.io/docs/nextjs#options */)({ - pageExtensions: ['jsx', 'ts', 'tsx', 'md', 'mdoc'], - }); diff --git a/docs/docs.trychroma.com/next.config.mjs b/docs/docs.trychroma.com/next.config.mjs new file mode 100644 index 00000000000..9aca8484266 --- /dev/null +++ b/docs/docs.trychroma.com/next.config.mjs @@ -0,0 +1,19 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + webpack(config) { + config.module.rules.push({ + test: /\.svg$/, + use: [ + { + loader: "@svgr/webpack", + options: { + icon: true, + }, + }, + ], + }); + return config; + } +}; + +export default nextConfig; diff --git a/docs/docs.trychroma.com/package.json b/docs/docs.trychroma.com/package.json index 11c60476db9..67934fda2e2 100644 --- a/docs/docs.trychroma.com/package.json +++ b/docs/docs.trychroma.com/package.json @@ -9,10 +9,11 @@ "gen-python": "sh scripts/pythonDocs.sh" }, "dependencies": { - "@docsearch/react": "^3.6.0", + "@docsearch/react": "^3.8.0", "@markdoc/markdoc": "latest", "@markdoc/next.js": "^0.3.7", "@matejmazur/react-katex": "^3.1.3", + "@radix-ui/react-dialog": "^1.1.2", "@radix-ui/react-dropdown-menu": "^2.0.6", "@radix-ui/react-icons": "^1.3.0", "@radix-ui/react-menubar": "^1.0.4", @@ -23,28 +24,46 @@ "@radix-ui/react-toast": "^1.1.5", "@radix-ui/react-tooltip": "^1.0.7", "@sindresorhus/slugify": "^2.2.1", + "@svgr/webpack": "^8.1.0", + "@tailwindcss/typography": "^0.5.15", + "algoliasearch": "^5.17.1", "class-variance-authority": "^0.7.0", "clsx": "^2.1.0", "flexsearch": "^0.7.43", + "gray-matter": "^4.0.3", + "image-size": "^1.1.1", "katex": "^0.16.9", - "next": "latest", + "lucide": "^0.464.0", + "lucide-react": "^0.464.0", + "next": "^14.2.13", "next-themes": "^0.3.0", - "posthog-js": "^1.131.4", + "posthog-js": "^1.200.1", "prismjs": "^1.29.0", - "react": "latest", - "react-dom": "latest", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "rehype-highlight": "^7.0.1", + "rehype-stringify": "^10.0.1", + "remark-parse": "^11.0.0", + "remark-rehype": "^11.1.1", + "shadcn": "^2.1.6", "tailwind-merge": "^2.2.1", - "tailwindcss-animate": "^1.0.7" + "tailwindcss-animate": "^1.0.7", + "unified": "^11.0.5", + "vaul": "^1.1.1" }, "devDependencies": { + 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a/docs/docs.trychroma.com/public/python.svg b/docs/docs.trychroma.com/public/python.svg new file mode 100644 index 00000000000..a16973b118c --- /dev/null +++ b/docs/docs.trychroma.com/public/python.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/docs/docs.trychroma.com/public/img/query-latency.png b/docs/docs.trychroma.com/public/query-latency.png similarity index 100% rename from docs/docs.trychroma.com/public/img/query-latency.png rename to docs/docs.trychroma.com/public/query-latency.png diff --git a/docs/docs.trychroma.com/public/img/team.JPG b/docs/docs.trychroma.com/public/team.JPG similarity index 100% rename from docs/docs.trychroma.com/public/img/team.JPG rename to docs/docs.trychroma.com/public/team.JPG diff --git a/docs/docs.trychroma.com/public/typescript.svg b/docs/docs.trychroma.com/public/typescript.svg new file mode 100644 index 00000000000..3acb58ca104 --- /dev/null +++ b/docs/docs.trychroma.com/public/typescript.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/docs/docs.trychroma.com/public/x-logo.svg b/docs/docs.trychroma.com/public/x-logo.svg new file mode 100644 index 00000000000..437e2bfddbb --- /dev/null +++ b/docs/docs.trychroma.com/public/x-logo.svg @@ -0,0 +1,3 @@ + + + diff --git a/docs/docs.trychroma.com/pydoc-markdown.yml b/docs/docs.trychroma.com/pydoc-markdown.yml index 6d6437e729c..9c8d5a1a2fe 100644 --- a/docs/docs.trychroma.com/pydoc-markdown.yml +++ b/docs/docs.trychroma.com/pydoc-markdown.yml @@ -14,7 +14,7 @@ processors: - type: crossref renderer: type: docusaurus - docs_base_path: pages + docs_base_path: pages-old relative_output_path: reference relative_sidebar_path: sidebar.json sidebar_top_level_label: 'Reference Docs' diff --git a/docs/docs.trychroma.com/scripts/jsDocs.sh b/docs/docs.trychroma.com/scripts/jsDocs.sh index 2e52763188a..fc4618f3e30 100644 --- a/docs/docs.trychroma.com/scripts/jsDocs.sh +++ b/docs/docs.trychroma.com/scripts/jsDocs.sh @@ -1,4 +1,4 @@ -# cleanup old pages +# cleanup old pages-old rm pages/reference/js-client.md rm pages/reference/js-collection.md diff --git a/docs/docs.trychroma.com/scripts/pythonDocs.sh b/docs/docs.trychroma.com/scripts/pythonDocs.sh index b7b2257467e..e6905f819f8 100644 --- a/docs/docs.trychroma.com/scripts/pythonDocs.sh +++ b/docs/docs.trychroma.com/scripts/pythonDocs.sh @@ -71,5 +71,5 @@ sed -i.bak -e '/@abstractmethod/d' "$file_out" rm "${file2}.bak" rm "${file_out}.bak" -rm pages/reference/Collection.md -rm pages/reference/sidebar.json +rm pages-old/reference/Collection.md +rm pages-old/reference/sidebar.json diff --git a/docs/docs.trychroma.com/tailwind.config.js b/docs/docs.trychroma.com/tailwind.config.js deleted file mode 100644 index 1fd88772f6e..00000000000 --- a/docs/docs.trychroma.com/tailwind.config.js +++ /dev/null @@ -1,81 +0,0 @@ -/** @type {import('tailwindcss').Config} */ -module.exports = { - darkMode: ["class", '[data-theme="dark"]'], - content: [ - "./pages/**/*.{ts,tsx}", - "./components/**/*.{ts,tsx}", - "./app/**/*.{ts,tsx}", - "./src/**/*.{ts,tsx}", - ], - prefix: "", - theme: { - container: { - center: true, - padding: "2rem", - screens: { - "2xl": "1400px", - }, - }, - extend: { - fontFamily: { - sans: ["var(--font-inter)"], - mono: ["var(--font-ibm-plex-mono)"], - }, - colors: { - border: "hsl(var(--border))", - input: "hsl(var(--input))", - ring: "hsl(var(--ring))", - background: "hsl(var(--background))", - foreground: "hsl(var(--foreground))", - primary: { - DEFAULT: "hsl(var(--primary))", - foreground: "hsl(var(--primary-foreground))", - }, - secondary: { - DEFAULT: "hsl(var(--secondary))", - foreground: "hsl(var(--secondary-foreground))", - }, - destructive: { - DEFAULT: "hsl(var(--destructive))", - foreground: "hsl(var(--destructive-foreground))", - }, - muted: { - DEFAULT: "hsl(var(--muted))", - foreground: "hsl(var(--muted-foreground))", - }, - accent: { - DEFAULT: "hsl(var(--accent))", - foreground: "hsl(var(--accent-foreground))", - }, - popover: { - DEFAULT: "hsl(var(--popover))", - foreground: "hsl(var(--popover-foreground))", - }, - card: { - DEFAULT: "hsl(var(--card))", - foreground: "hsl(var(--card-foreground))", - }, - }, - borderRadius: { - lg: "var(--radius)", - md: "calc(var(--radius) - 2px)", - sm: "calc(var(--radius) - 4px)", - }, - keyframes: { - "accordion-down": { - from: { height: "0" }, - to: { height: "var(--radix-accordion-content-height)" }, - }, - "accordion-up": { - from: { height: "var(--radix-accordion-content-height)" }, - to: { height: "0" }, - }, - }, - animation: { - "accordion-down": "accordion-down 0.2s ease-out", - "accordion-up": "accordion-up 0.2s ease-out", - }, - }, - }, - plugins: [require("tailwindcss-animate")], -}; diff --git a/docs/docs.trychroma.com/tailwind.config.ts b/docs/docs.trychroma.com/tailwind.config.ts new file mode 100644 index 00000000000..9ef9c63bc50 --- /dev/null +++ b/docs/docs.trychroma.com/tailwind.config.ts @@ -0,0 +1,29 @@ +import type { Config } from "tailwindcss"; + +const config: Config = { + darkMode: ["class"], + content: [ + "./pages/**/*.{js,ts,jsx,tsx,mdx,md}", + "./components/**/*.{js,ts,jsx,tsx,mdx,md}", + "./app/**/*.{js,ts,jsx,tsx,mdx,md}", + "./markdoc/**/*.{md,mdx}", + ], + theme: { + extend: { + colors: { + background: "var(--background)", + foreground: "var(--foreground)", + "chroma-orange": "#FF6446", + }, + borderRadius: { + lg: "var(--radius)", + md: "calc(var(--radius) - 2px)", + sm: "calc(var(--radius) - 4px)", + }, + typography: {}, + }, + }, + // eslint-disable-next-line @typescript-eslint/no-require-imports + plugins: [require("tailwindcss-animate"), require("@tailwindcss/typography")], +}; +export default config; diff --git a/docs/docs.trychroma.com/tsconfig.json b/docs/docs.trychroma.com/tsconfig.json index b9bb3eaa84f..d81d4ee14e7 100644 --- a/docs/docs.trychroma.com/tsconfig.json +++ b/docs/docs.trychroma.com/tsconfig.json @@ -1,6 +1,5 @@ { "compilerOptions": { - "target": "es5", "lib": [ "dom", "dom.iterable", @@ -8,23 +7,32 @@ ], "allowJs": true, "skipLibCheck": true, - "strict": false, - "forceConsistentCasingInFileNames": true, + "strict": true, "noEmit": true, - "incremental": true, "esModuleInterop": true, "module": "esnext", - "moduleResolution": "node", + "moduleResolution": "bundler", "resolveJsonModule": true, "isolatedModules": true, - "jsx": "preserve" + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": [ + "./*" + ] + }, + "target": "ES2017" }, "include": [ "next-env.d.ts", "**/*.ts", "**/*.tsx", - "markdoc/config.js", - "../../clients/js/src" + ".next/types/**/*.ts" ], "exclude": [ "node_modules" From f6dfce2f37bfef2f9a934ecd94d03cd92f688994 Mon Sep 17 00:00:00 2001 From: Itai Smith Date: Mon, 16 Dec 2024 13:55:00 -0800 Subject: [PATCH 3/5] rename tabs --- docs/docs.trychroma.com/README.md | 2 +- .../components/markdoc/tabbed-code-block.tsx | 2 +- .../markdoc/tabbed-use-case-code-block.tsx | 2 +- .../markdoc/{markdoc-tabs.tsx => tabs.tsx} | 12 ++------- .../components/sidebar/menu-item.tsx | 24 ++++++++++-------- .../components/sidebar/page-index.tsx | 4 ++- .../components/sidebar/sidebar.tsx | 2 +- docs/docs.trychroma.com/markdoc/config.ts | 4 +-- .../docs/collections/create-get-delete.md | 16 +++++++----- .../content/docs/overview/getting-started.md | 14 +++++----- .../markdoc/content/docs/overview/roadmap.md | 5 ---- .../content/docs/overview/telemetry.md | 4 +-- .../content/docs/run-chroma/client-server.md | 4 +-- .../docs/run-chroma/ephemeral-client.md | 4 ++- .../docs/run-chroma/persistent-client.md | 19 ++++++++------ .../docs/run-chroma/python-http-client.md | 16 +++++++++++- .../integrations/embedding-models/cohere.md | 4 +-- .../embedding-models/google-gemini.md | 4 +-- .../integrations/embedding-models/openai.md | 4 +-- .../content/production/administration/auth.md | 8 +++--- .../chroma-server/client-server-mode.md | 4 +-- .../content/production/cloud-providers/aws.md | 4 +-- .../production/cloud-providers/azure.md | 4 +-- .../content/production/cloud-providers/gcp.md | 4 +-- .../content/production/containers/docker.md | 8 +++--- .../markdoc/content/sidebar-config.ts | 4 +-- docs/docs.trychroma.com/public/favicon.ico | Bin 285478 -> 0 bytes 27 files changed, 99 insertions(+), 83 deletions(-) rename docs/docs.trychroma.com/components/markdoc/{markdoc-tabs.tsx => tabs.tsx} (82%) delete mode 100644 docs/docs.trychroma.com/public/favicon.ico diff --git a/docs/docs.trychroma.com/README.md b/docs/docs.trychroma.com/README.md index e8a6ac1d73d..846120bc35e 100644 --- a/docs/docs.trychroma.com/README.md +++ b/docs/docs.trychroma.com/README.md @@ -28,7 +28,7 @@ It also incldues [Shadcn](https://ui.shadcn.com/) with [Tailwind](https://tailwi - Dark/Light Mode - Responsive - Global and Local state management with localstorage persistence -- MarkdocTabs +- Tabs - Code styling with Prism - Toasts diff --git a/docs/docs.trychroma.com/components/markdoc/tabbed-code-block.tsx b/docs/docs.trychroma.com/components/markdoc/tabbed-code-block.tsx index 5a4c1119959..2aa58fa5586 100644 --- a/docs/docs.trychroma.com/components/markdoc/tabbed-code-block.tsx +++ b/docs/docs.trychroma.com/components/markdoc/tabbed-code-block.tsx @@ -4,7 +4,7 @@ import { TabsContent, TabsList } from "@/components/ui/tabs"; import { tabLabelStyle } from "@/components/markdoc/code-block-header"; import { capitalize, cn } from "@/lib/utils"; import CodeBlock from "@/components/markdoc/code-block"; -import { TabProps, TabsTrigger } from "@/components/markdoc/markdoc-tabs"; +import { TabProps, TabsTrigger } from "@/components/markdoc/tabs"; import CodeTabs from "@/components/markdoc/code-tab"; const TabbedCodeBlock: React.FC<{ diff --git a/docs/docs.trychroma.com/components/markdoc/tabbed-use-case-code-block.tsx b/docs/docs.trychroma.com/components/markdoc/tabbed-use-case-code-block.tsx index 87490ba6fdf..446d8b6486b 100644 --- a/docs/docs.trychroma.com/components/markdoc/tabbed-use-case-code-block.tsx +++ b/docs/docs.trychroma.com/components/markdoc/tabbed-use-case-code-block.tsx @@ -2,7 +2,7 @@ import React, { ReactElement } from "react"; import { tabLabelStyle } from "@/components/markdoc/code-block-header"; import { capitalize, cn } from "@/lib/utils"; import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"; -import { TabProps } from "@/components/markdoc/markdoc-tabs"; +import { TabProps } from "@/components/markdoc/tabs"; import CodeBlock from "@/components/markdoc/code-block"; import CopyButton from "@/components/markdoc/copy-button"; diff --git a/docs/docs.trychroma.com/components/markdoc/markdoc-tabs.tsx b/docs/docs.trychroma.com/components/markdoc/tabs.tsx similarity index 82% rename from docs/docs.trychroma.com/components/markdoc/markdoc-tabs.tsx rename to docs/docs.trychroma.com/components/markdoc/tabs.tsx index 32d794c421c..e6d1809ece8 100644 --- a/docs/docs.trychroma.com/components/markdoc/markdoc-tabs.tsx +++ b/docs/docs.trychroma.com/components/markdoc/tabs.tsx @@ -13,13 +13,6 @@ import AppContext from "@/context/app-context"; import CodeBlock from "@/components/markdoc/code-block"; import { Playfair_Display } from "next/font/google"; -export const playfairDisplay = Playfair_Display({ - subsets: ["latin"], - display: "swap", - weight: "500", - variable: "--font-playfair-display", -}); - export interface TabProps { label: string; children: React.ReactElement<{ content: string; showHeader: boolean }>; @@ -49,7 +42,7 @@ const Tab: React.FC = ({ children }) => { return

; }; -export const MarkdocTabs: React.FC<{ children: ReactElement[] }> = ({ +export const Tabs: React.FC<{ children: ReactElement[] }> = ({ children, }) => { const { language } = useContext(AppContext); @@ -67,8 +60,7 @@ export const MarkdocTabs: React.FC<{ children: ReactElement[] }> = ({ value={tab.props.label} className={cn( tabLabelStyle, - playfairDisplay.className, - "text-sm tracking-normal dark:data-[state=active]:bg-transparent data-[state=active]:border-b data-[state=active]:text-gray-900 dark:data-[state=active]:text-gray-200 data-[state=active]:border-gray-900 dark:data-[state=active]:border-gray-200", + "text-sm font-mono tracking-normal dark:data-[state=active]:bg-transparent data-[state=active]:border-b data-[state=active]:text-gray-900 dark:data-[state=active]:text-gray-200 data-[state=active]:border-gray-900 dark:data-[state=active]:border-gray-200", )} > {capitalize(tab.props.label)} diff --git a/docs/docs.trychroma.com/components/sidebar/menu-item.tsx b/docs/docs.trychroma.com/components/sidebar/menu-item.tsx index 174487a192d..aeaa02ec685 100644 --- a/docs/docs.trychroma.com/components/sidebar/menu-item.tsx +++ b/docs/docs.trychroma.com/components/sidebar/menu-item.tsx @@ -20,20 +20,22 @@ const MenuItem: React.FC<{ section: AppSection; active: boolean }> = ({ className={`flex items-center gap-2 text-gray-700/80 cursor-pointer ${!section.comingSoon && "hover:text-gray-800"} dark:text-gray-400/80 dark:hover:text-gray-300`} >
-

- {section.name} -

- {section.comingSoon && ( -
- Coming Soon -
- )} +
+

+ {section.name} +

+ {section.comingSoon && ( +
+ Coming Soon +
+ )} +
); diff --git a/docs/docs.trychroma.com/components/sidebar/page-index.tsx b/docs/docs.trychroma.com/components/sidebar/page-index.tsx index 9fd582eaa37..1a30aaa5e15 100644 --- a/docs/docs.trychroma.com/components/sidebar/page-index.tsx +++ b/docs/docs.trychroma.com/components/sidebar/page-index.tsx @@ -17,7 +17,9 @@ const PageIndex: React.FC<{ return (
{name && ( -

+

{name}

)} diff --git a/docs/docs.trychroma.com/components/sidebar/sidebar.tsx b/docs/docs.trychroma.com/components/sidebar/sidebar.tsx index 3e17910ef9d..2dea9c0274f 100644 --- a/docs/docs.trychroma.com/components/sidebar/sidebar.tsx +++ b/docs/docs.trychroma.com/components/sidebar/sidebar.tsx @@ -52,7 +52,7 @@ const Sidebar: React.FC<{ path: string[]; mobile?: boolean }> = ({ className={`h-full xl:ml-[calc((100vw-1256px)/2)] ${!mobile && "hidden md:block"}`} >
-
+
{sidebarConfig.map((section) => ( #### Client Set-Up -{% MarkdocTabs %} +{% Tabs %} {% Tab label="python" %} @@ -108,7 +108,7 @@ chromaClient.heartbeat() {% /Tab %} -{% /MarkdocTabs %} +{% /Tabs %} We recommend setting the environment variable `CHROMA_CLIENT_AUTH_CREDENTIALS` instead of specifying the credentials in code. @@ -156,7 +156,7 @@ export CHROMA_SERVER_AUTHZ_PROVIDER="chromadb.auth.simple_rbac_authz.SimpleRBACA #### Client Set-Up -{% MarkdocTabs %} +{% Tabs %} {% Tab label="python" %} @@ -204,6 +204,6 @@ chromaClient.heartbeat() ``` {% /Tab %} -{% /MarkdocTabs %} +{% /Tabs %} We recommend setting the environment variable `CHROMA_CLIENT_AUTH_CREDENTIALS` instead of specifying the token in code. Similarly, you can read the value of `CHROMA_AUTH_TOKEN_TRANSPORT_HEADER` in the client construction. \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/chroma-server/client-server-mode.md b/docs/docs.trychroma.com/markdoc/content/production/chroma-server/client-server-mode.md index 0d2795faa01..f4bab933f81 100644 --- a/docs/docs.trychroma.com/markdoc/content/production/chroma-server/client-server-mode.md +++ b/docs/docs.trychroma.com/markdoc/content/production/chroma-server/client-server-mode.md @@ -10,7 +10,7 @@ You can quickly experiment locally with Chroma in client/server mode by using ou chroma run --path /db_path ``` -{% MarkdocTabs %} +{% Tabs %} {% Tab label="python" %} @@ -57,4 +57,4 @@ const client = new ChromaClient(); {% /Tab %} -{% /MarkdocTabs %} \ No newline at end of file +{% /Tabs %} \ No newline at end of file diff --git a/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/aws.md b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/aws.md index b6ba86d550b..33ba16d1109 100644 --- a/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/aws.md +++ b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/aws.md @@ -230,7 +230,7 @@ Add the `CHROMA_CLIENT_AUTH_CREDENTIALS` environment variable to your local envi export CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" ``` -{% MarkdocTabs %} +{% Tabs %} {% Tab label="python" %} @@ -283,7 +283,7 @@ chromaClient.heartbeat() {% /Tab %} -{% /MarkdocTabs %} +{% /Tabs %} ## Observability with AWS diff --git a/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/azure.md b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/azure.md index 16c6665aff5..4d9bc766ffc 100644 --- a/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/azure.md +++ b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/azure.md @@ -189,7 +189,7 @@ Add the `CHROMA_CLIENT_AUTH_CREDENTIALS` environment variable to your local envi export CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" ``` -{% MarkdocTabs %} +{% Tabs %} {% Tab label="python" %} @@ -242,7 +242,7 @@ chromaClient.heartbeat() {% /Tab %} -{% /MarkdocTabs %} +{% /Tabs %} ## Observability with Azure diff --git a/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/gcp.md b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/gcp.md index 70832936c52..92cbe226b0f 100644 --- a/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/gcp.md +++ b/docs/docs.trychroma.com/markdoc/content/production/cloud-providers/gcp.md @@ -216,7 +216,7 @@ Add the `CHROMA_CLIENT_AUTH_CREDENTIALS` environment variable to your local envi export CHROMA_CLIENT_AUTH_CREDENTIALS="test-token" ``` -{% MarkdocTabs %} +{% Tabs %} {% Tab label="python" %} @@ -269,7 +269,7 @@ chromaClient.heartbeat() {% /Tab %} -{% /MarkdocTabs %} +{% /Tabs %} ## Observability with GCP diff --git a/docs/docs.trychroma.com/markdoc/content/production/containers/docker.md b/docs/docs.trychroma.com/markdoc/content/production/containers/docker.md index ed3b657674b..632f7c614fd 100644 --- a/docs/docs.trychroma.com/markdoc/content/production/containers/docker.md +++ b/docs/docs.trychroma.com/markdoc/content/production/containers/docker.md @@ -118,7 +118,7 @@ In your client environment, set the `CHROMA_CLIENT_AUTH_CREDENTIALS` variable to export CHROMA_CLIENT_AUTH_CREDENTIALS="admin:admin" ``` -{% MarkdocTabs %} +{% Tabs %} {% Tab label="python" %} @@ -170,7 +170,7 @@ chromaClient.heartbeat() {% /Tab %} -{% /MarkdocTabs %} +{% /Tabs %} ### Static API Token Authentication @@ -222,7 +222,7 @@ docker run --env-file ./.chroma_env -v :/chroma/ #### Client Set-Up -{% MarkdocTabs %} +{% Tabs %} {% Tab label="python" %} @@ -281,7 +281,7 @@ chromaClient.heartbeat() {% /Tab %} -{% /MarkdocTabs %} +{% /Tabs %} ## Observability with Docker diff --git a/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts b/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts index afc0e330a8a..ea683869762 100644 --- a/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts +++ b/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts @@ -181,8 +181,8 @@ const sidebarConfig: AppSection[] = [ ], }, { - id: "learn", - name: "Learn", + id: "guides-and-examples", + name: "Guides & Examples", icon: GraduationCap, comingSoon: true, }, diff --git a/docs/docs.trychroma.com/public/favicon.ico b/docs/docs.trychroma.com/public/favicon.ico deleted file mode 100644 index 53ab6af74e73c5529223dc706f37c1036cf6f7bd..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 285478 zcmeIb571{-dFR<7U528%NEhW=7L^(-i?vuI&D*bkVu(Tq8`e06xDM;MZblhs{%8n6 zMM1Rbj>WhRlgYYC#xU6##$imxP!44riWoy&hNKKJj_W$c$tZ7kSC+7bVO^Fbq(gds zcfZe{?{l7W?!CYF?WO_W_H@BNJvgIxR6%6oC?9Y19)-8*3w`@5JZJ0u0aunYa|Aw1) 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z`RTZy|E`{!=l;s=BY37}06F0#>=U+vTYP8vD&BX9XYKp&`U1YQ418~w5^SH=9;z3c zn|GdydyP}!3m^DP9ON0?gFI(z`|+BqT~{qm+I`fj$F$2Ko&28R#?6XQ0nOpMgFDeFpjr^cm`fj$F$2Ko&28R#?6XQ0nOpMgFDeFpjr^cm`fj$F$2Ko&28R#?6XQ0nO zpMgFDeFpjr^cm` zfj$F$2Ko&28R#?6XQ0nOpMgFDeFpjr^cm`fj$F$2Ko&28R#?6XQ0nOpMgFDeFpjr^cm`fj$F$2Ko&28R#?6XQ0nOpMgFD zeFpjr^cm`fj$F$ z2Ko&28R#?6XQ0nOpMgFDeFpjr^cm`fj$F$2Ko&28R#?cY|X&X|MeN@Gtg(C&p@AnJ_FC;3>@0>1J?U} ztW<+Jj2*!bisUg=&Ztz{*e^QF=BNj|tj8t&a(sR+kA{ zM?W)tF@fvpXQnqMcxHNIg4ff}On>|V*3%!FJAeNJJzf2MbMgHTxSoFhoWK8ppRRr` zJTH)^sh_<(JpK~B68cQ*XD?5`KsUR779T&qCHgZYL!RjRC4XN%|0VkKWqvlh{+Z@$ zz4*FeoX#;ay|$rzCiVNLgU2rR>FV#Bi@(AAe`wDCIIU0Xt&i*JXA{I3`sbTZAg-SU z=zQ~^y@2*@Oh0>pnfv?&M*aTjKS1oS?wi)f{_N1Se#85}nLj{muxI`NXK?&86MR1P zGZVaz`k4s~^{{{H1Y>%5PuCd5^bEtHMy1W9pPYa={h1}|j55B-2{^y#CnsQE(N9i5 zQu|G7brxy(lP4H|eTg&i7d#`!pE!Z@vwmWLl{yAEcYn(n{((b&5@~iN5(jVwM|yr8 zp97e?KleW|CgncupgQ}~!5N&2HvC}Mm{^K`y0%0l|72h~XgQTLR8;?WXp8?z;z38P X@2x%qeFpjr^cm Date: Wed, 18 Dec 2024 16:28:53 -0800 Subject: [PATCH 4/5] Add static page generation --- .../docs.trychroma.com/app/[...slug]/page.tsx | 28 ++++++++++++++++- docs/docs.trychroma.com/app/cloud/page.tsx | 15 ++++++++++ .../components/markdoc/markdoc-page.tsx | 14 +++++---- .../components/sidebar/cloud-icon.tsx | 30 +++++++++++++++++++ .../components/sidebar/menu-item.tsx | 5 +++- .../components/sidebar/page-index.tsx | 17 ++++++----- docs/docs.trychroma.com/lib/content.ts | 7 +++-- .../markdoc/content/sidebar-config.ts | 7 +++++ docs/docs.trychroma.com/package.json | 1 + 9 files changed, 106 insertions(+), 18 deletions(-) create mode 100644 docs/docs.trychroma.com/app/cloud/page.tsx create mode 100644 docs/docs.trychroma.com/components/sidebar/cloud-icon.tsx diff --git a/docs/docs.trychroma.com/app/[...slug]/page.tsx b/docs/docs.trychroma.com/app/[...slug]/page.tsx index 298384066d1..4c59efdd015 100644 --- a/docs/docs.trychroma.com/app/[...slug]/page.tsx +++ b/docs/docs.trychroma.com/app/[...slug]/page.tsx @@ -1,7 +1,33 @@ import React from "react"; import MarkdocRenderer from "@/components/markdoc/markdoc-renderer"; +import sidebarConfig from "@/markdoc/content/sidebar-config"; +import { AppSection } from "@/lib/content"; -// TODO: Add page metadata for SEO +export const generateStaticParams = async () => { + const slugs: string[][] = []; + + const traverseSection = (section: AppSection, path: string[] = []) => { + if (section.pages) { + section.pages.forEach((page) => { + slugs.push([...path, page.id]); + }); + } + + if (section.subsections) { + section.subsections.forEach((subsection) => { + traverseSection(subsection, [...path, subsection.id]); + }); + } + }; + + sidebarConfig.forEach((section) => { + traverseSection(section, [section.id]); + }); + + return slugs.map((slug) => ({ + slug, + })); +}; const Page: React.FC<{ params: { slug: string[] } }> = ({ params }) => { const { slug } = params; diff --git a/docs/docs.trychroma.com/app/cloud/page.tsx b/docs/docs.trychroma.com/app/cloud/page.tsx new file mode 100644 index 00000000000..cc5900e4d15 --- /dev/null +++ b/docs/docs.trychroma.com/app/cloud/page.tsx @@ -0,0 +1,15 @@ +import React from "react"; +import Sidebar from "@/components/sidebar/sidebar"; + +const CloudPage: React.FC = () => { + return ( +
+ +
+

Coming Soon

+
+
+ ); +}; + +export default CloudPage; diff --git a/docs/docs.trychroma.com/components/markdoc/markdoc-page.tsx b/docs/docs.trychroma.com/components/markdoc/markdoc-page.tsx index 807ebb6bcab..57eb53bf1cf 100644 --- a/docs/docs.trychroma.com/components/markdoc/markdoc-page.tsx +++ b/docs/docs.trychroma.com/components/markdoc/markdoc-page.tsx @@ -1,15 +1,17 @@ "use client"; -import React from "react"; +import React, { Suspense } from "react"; import { AppContextProvider } from "@/context/app-context"; const MarkdocPage: React.FC<{ children: React.ReactNode }> = ({ children }) => { return ( - -
-
{children}
-
-
+ + +
+
{children}
+
+
+
); }; diff --git a/docs/docs.trychroma.com/components/sidebar/cloud-icon.tsx b/docs/docs.trychroma.com/components/sidebar/cloud-icon.tsx new file mode 100644 index 00000000000..8db6c25bb8d --- /dev/null +++ b/docs/docs.trychroma.com/components/sidebar/cloud-icon.tsx @@ -0,0 +1,30 @@ +import React, { + ForwardRefExoticComponent, + RefAttributes, + forwardRef, +} from "react"; + +const CloudIcon: ForwardRefExoticComponent< + React.SVGProps & RefAttributes +> = forwardRef>((props, ref) => { + return ( + + + + ); +}); + +export default CloudIcon; diff --git a/docs/docs.trychroma.com/components/sidebar/menu-item.tsx b/docs/docs.trychroma.com/components/sidebar/menu-item.tsx index aeaa02ec685..57d0e2977c7 100644 --- a/docs/docs.trychroma.com/components/sidebar/menu-item.tsx +++ b/docs/docs.trychroma.com/components/sidebar/menu-item.tsx @@ -13,8 +13,11 @@ const MenuItem: React.FC<{ section: AppSection; active: boolean }> = ({ href={ section.comingSoon ? "" - : `/${section.id}/${section.default || (section.pages ? section.pages[0].id : "")}` + : section.override || + `/${section.id}/${section.default || (section.pages ? section.pages[0].id : "")}` } + target={section.override ? "_blank" : undefined} + rel={section.override ? "noopener noreferrer" : undefined} >
{pages.map((page) => ( - + + + ))}
diff --git a/docs/docs.trychroma.com/lib/content.ts b/docs/docs.trychroma.com/lib/content.ts index 62291aaedd8..85e71c760c7 100644 --- a/docs/docs.trychroma.com/lib/content.ts +++ b/docs/docs.trychroma.com/lib/content.ts @@ -1,4 +1,4 @@ -import { LucideIcon } from "lucide-react"; +import { ForwardRefExoticComponent, RefAttributes } from "react"; export interface AppPage { id: string; @@ -11,11 +11,14 @@ export interface AppSection { id: string; name: string; default?: string; - icon?: LucideIcon; + icon?: ForwardRefExoticComponent< + { className?: string } & RefAttributes + >; pages?: AppPage[]; generatePages?: boolean; subsections?: AppSection[]; comingSoon?: boolean; + override?: string; } export const getAllPages = (sidebarConfig: AppSection[], sectionId: string) => { diff --git a/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts b/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts index ea683869762..498cc1795b2 100644 --- a/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts +++ b/docs/docs.trychroma.com/markdoc/content/sidebar-config.ts @@ -7,6 +7,7 @@ import { WrenchIcon, } from "lucide-react"; import { AppSection } from "@/lib/content"; +import CloudIcon from "@/components/sidebar/cloud-icon"; const sidebarConfig: AppSection[] = [ { @@ -85,6 +86,12 @@ const sidebarConfig: AppSection[] = [ }, ], }, + { + id: "cloud", + name: "Chroma Cloud", + icon: CloudIcon, + override: "https://airtable.com/appG6DhLoDUnTawwh/shrOAiDUtS2ILy5vZ", + }, { id: "production", name: "Production", diff --git a/docs/docs.trychroma.com/package.json b/docs/docs.trychroma.com/package.json index 67934fda2e2..b19d75c6cf5 100644 --- a/docs/docs.trychroma.com/package.json +++ b/docs/docs.trychroma.com/package.json @@ -10,6 +10,7 @@ }, "dependencies": { "@docsearch/react": "^3.8.0", + "@heroicons/react": "^2.2.0", "@markdoc/markdoc": "latest", "@markdoc/next.js": "^0.3.7", "@matejmazur/react-katex": "^3.1.3", From 497df93c6aa83560382b89fe25863be62b3ebe6f Mon Sep 17 00:00:00 2001 From: Itai Smith Date: Fri, 20 Dec 2024 13:15:27 -0800 Subject: [PATCH 5/5] Chroma search --- .../app/api/search/route.ts | 81 ++ .../components/header/header.tsx | 3 +- .../components/header/search-docs.tsx | 145 +++ .../components/markdoc/markdoc-heading.tsx | 2 + .../components/ui/dialog.tsx | 117 +++ .../components/ui/input.tsx | 22 + .../content/docs/guides/embeddings-guide.md | 123 --- .../content/docs/guides/multimodal-guide.md | 158 ---- .../content/docs/guides/usage-guide.md | 851 ------------------ .../content/reference/python/client.md | 14 +- docs/docs.trychroma.com/next.config.mjs | 11 +- docs/docs.trychroma.com/package.json | 15 +- .../docs.trychroma.com/public/chroma-icon.svg | 59 ++ docs/docs.trychroma.com/search/ingest-docs.ts | 212 +++++ 14 files changed, 669 insertions(+), 1144 deletions(-) create mode 100644 docs/docs.trychroma.com/app/api/search/route.ts create mode 100644 docs/docs.trychroma.com/components/header/search-docs.tsx create mode 100644 docs/docs.trychroma.com/components/ui/dialog.tsx create mode 100644 docs/docs.trychroma.com/components/ui/input.tsx delete mode 100644 docs/docs.trychroma.com/markdoc/content/docs/guides/embeddings-guide.md delete mode 100644 docs/docs.trychroma.com/markdoc/content/docs/guides/multimodal-guide.md delete mode 100644 docs/docs.trychroma.com/markdoc/content/docs/guides/usage-guide.md create mode 100644 docs/docs.trychroma.com/public/chroma-icon.svg create mode 100644 docs/docs.trychroma.com/search/ingest-docs.ts diff --git a/docs/docs.trychroma.com/app/api/search/route.ts b/docs/docs.trychroma.com/app/api/search/route.ts new file mode 100644 index 00000000000..eb7556fa3d4 --- /dev/null +++ b/docs/docs.trychroma.com/app/api/search/route.ts @@ -0,0 +1,81 @@ +import { NextResponse } from "next/server"; +import { ChromaClient } from "chromadb"; +// @ts-ignore +import { Collection } from "chromadb/src/Collection"; + +export async function GET(request: Request) { + try { + const { searchParams } = new URL(request.url); + const query = searchParams.get("q"); + + if (!query) { + return NextResponse.json( + { error: "Query parameter is required" }, + { status: 400 }, + ); + } + + const chromaClient = new ChromaClient({ + path: "https://api.trychroma.com:8000", + auth: { + provider: "token", + credentials: process.env.CHROMA_CLOUD_API_KEY, + tokenHeaderType: "X_CHROMA_TOKEN", + }, + tenant: process.env.CHROMA_CLOUD_TENANT, + database: "docs", + }); + + const collection: Collection = await chromaClient.getOrCreateCollection({ + name: "docs-content", + }); + + let results: { + distance: number; + title: string; + pageTitle: string; + pageUrl: string; + }[] = []; + + const queryResults = await collection.query({ + queryTexts: [query], + include: ["metadatas"], + where: + results.length > 0 + ? { pageTitle: { $nin: results.map((r) => r.pageTitle) } } + : undefined, + }); + + results.push( + ...queryResults.metadatas[0].map( + ( + m: { + pageTitle: string; + title: string; + page: string; + section: string; + subsection?: string; + }, + index: number, + ) => { + return { + title: m.title, + pageTitle: m.pageTitle, + pageUrl: m.subsection + ? `/${m.section}/${m.subsection}/${m.page}${m.pageTitle !== m.title ? `#${m.title.replaceAll(" ", "-").replaceAll("_", "-").toLowerCase()}` : ""}` + : `/${m.section}/${m.page}${m.pageTitle !== m.title ? `#${m.title.replaceAll(" ", "-").replaceAll("_", "-").toLowerCase()}` : ""}`, + }; + }, + ), + ); + + results = Array.from( + new Map(results.map((item) => [item.title, item])).values(), + ); + + return NextResponse.json(results); + } catch (error) { + console.log(error); + return NextResponse.json({ error: "Search failed" }, { status: 500 }); + } +} diff --git a/docs/docs.trychroma.com/components/header/header.tsx b/docs/docs.trychroma.com/components/header/header.tsx index 087fbc4fbd4..9f56381612a 100644 --- a/docs/docs.trychroma.com/components/header/header.tsx +++ b/docs/docs.trychroma.com/components/header/header.tsx @@ -6,6 +6,7 @@ import XLink from "@/components/header/x-link"; import DiscordLink from "@/components/header/discord-link"; import Link from "next/link"; import SearchBox from "@/components/header/search-box"; +import SearchDocs from "@/components/header/search-docs"; const Header: React.FC = () => { return ( @@ -14,9 +15,9 @@ const Header: React.FC = () => { -
+ diff --git a/docs/docs.trychroma.com/components/header/search-docs.tsx b/docs/docs.trychroma.com/components/header/search-docs.tsx new file mode 100644 index 00000000000..527e675d282 --- /dev/null +++ b/docs/docs.trychroma.com/components/header/search-docs.tsx @@ -0,0 +1,145 @@ +"use client"; + +import React, { useEffect, useState } from "react"; +import { Dialog, DialogContent, DialogTrigger } from "../ui/dialog"; +import UIButton from "@/components/ui/ui-button"; +import { Cross2Icon, MagnifyingGlassIcon } from "@radix-ui/react-icons"; +import * as DialogPrimitive from "@radix-ui/react-dialog"; +import _ from "lodash"; +import { Input } from "@/components/ui/input"; +import ChromaIcon from "../../public/chroma-icon.svg"; +import { AlertTriangleIcon, ArrowRight, Loader } from "lucide-react"; +import Link from "next/link"; + +const SearchDocs: React.FC = () => { + const [query, setQuery] = useState(""); + const [results, setResults] = useState< + { title: string; pageTitle: string; pageUrl: string }[] + >([]); + const [isLoading, setIsLoading] = useState(false); + const [error, setError] = useState(null); + + const debouncedSearch = _.debounce(async (searchQuery: string) => { + if (!searchQuery.trim()) { + setResults([]); + return; + } + + try { + setIsLoading(true); + setError(null); + + const response = await fetch( + `/api/search?q=${encodeURIComponent(searchQuery)}`, + ); + + if (!response.ok) { + throw new Error("Search failed"); + } + + const data = await response.json(); + setResults(data); + console.log(data); + } catch (err) { + setError("Failed to perform search"); + setResults([]); + } finally { + setIsLoading(false); + } + }, 300); + + useEffect(() => { + debouncedSearch(query); + + return () => { + debouncedSearch.cancel(); + }; + }, [query]); + + return ( + + + + +

Search...

+
+
+ +
+
+ {[...Array(7)].map((_, index) => ( +
+ ))} +
+ Search Docs +
+
+ + + Close + +
+
+
+
+ setQuery(e.target.value)} + placeholder="Search..." + className="w-full p-2 border border-black rounded-none" + /> +
+
+ {isLoading && ( +
+ +
+ )} + {error && ( +
+ +

+ Failed to fetch results. Try again later +

+
+ )} + {!isLoading && !error && ( +
+ {results.map((result, index) => ( + setQuery("")} + > + +
+

+ {result.title || result.pageTitle} +

+ {result.title && result.title !== result.pageTitle && ( +

{result.pageTitle}

+ )} +
+ +
+ + ))} +
+ )} +
+
+
+ +

Powered by Chroma Cloud

+
+
+ +
+ ); +}; + +export default SearchDocs; diff --git a/docs/docs.trychroma.com/components/markdoc/markdoc-heading.tsx b/docs/docs.trychroma.com/components/markdoc/markdoc-heading.tsx index 09da191177b..2812367c3e4 100644 --- a/docs/docs.trychroma.com/components/markdoc/markdoc-heading.tsx +++ b/docs/docs.trychroma.com/components/markdoc/markdoc-heading.tsx @@ -4,8 +4,10 @@ const generateId = (content: React.ReactNode): string => { if (typeof content === "string") { return content .toLowerCase() + .replaceAll("_", "-") .replace(/[^a-z0-9\s-]/g, "") .replace(/\s+/g, "-") + .trim(); } return ""; diff --git a/docs/docs.trychroma.com/components/ui/dialog.tsx b/docs/docs.trychroma.com/components/ui/dialog.tsx new file mode 100644 index 00000000000..4d3be9123d3 --- /dev/null +++ b/docs/docs.trychroma.com/components/ui/dialog.tsx @@ -0,0 +1,117 @@ +"use client"; + +import * as React from "react"; +import * as DialogPrimitive from "@radix-ui/react-dialog"; +import { cn } from "@/lib/utils"; +import { Cross2Icon } from "@radix-ui/react-icons"; + +const Dialog = DialogPrimitive.Root; + +const DialogTrigger = DialogPrimitive.Trigger; + +const DialogPortal = DialogPrimitive.Portal; + +const DialogClose = DialogPrimitive.Close; + +const DialogOverlay = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)); +DialogOverlay.displayName = DialogPrimitive.Overlay.displayName; + +const DialogContent = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, children, ...props }, ref) => ( + + + + {children} + + +)); +DialogContent.displayName = DialogPrimitive.Content.displayName; + +const DialogHeader = ({ + className, + ...props +}: React.HTMLAttributes) => ( +
+); +DialogHeader.displayName = "DialogHeader"; + +const DialogFooter = ({ + className, + ...props +}: React.HTMLAttributes) => ( +
+); +DialogFooter.displayName = "DialogFooter"; + +const DialogTitle = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)); +DialogTitle.displayName = DialogPrimitive.Title.displayName; + +const DialogDescription = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)); +DialogDescription.displayName = DialogPrimitive.Description.displayName; + +export { + Dialog, + DialogPortal, + DialogOverlay, + DialogTrigger, + DialogClose, + DialogContent, + DialogHeader, + DialogFooter, + DialogTitle, + DialogDescription, +}; diff --git a/docs/docs.trychroma.com/components/ui/input.tsx b/docs/docs.trychroma.com/components/ui/input.tsx new file mode 100644 index 00000000000..d24a287d367 --- /dev/null +++ b/docs/docs.trychroma.com/components/ui/input.tsx @@ -0,0 +1,22 @@ +import * as React from "react" + +import { cn } from "@/lib/utils" + +const Input = React.forwardRef>( + ({ className, type, ...props }, ref) => { + return ( + + ) + } +) +Input.displayName = "Input" + +export { Input } diff --git a/docs/docs.trychroma.com/markdoc/content/docs/guides/embeddings-guide.md b/docs/docs.trychroma.com/markdoc/content/docs/guides/embeddings-guide.md deleted file mode 100644 index 5db0bcf7ddb..00000000000 --- a/docs/docs.trychroma.com/markdoc/content/docs/guides/embeddings-guide.md +++ /dev/null @@ -1,123 +0,0 @@ ---- -{ - "id": "embeddings-guide", - "title": "Embeddings", - "section": "Guides", - "order": 1 -} ---- - -# Embeddings - -Embeddings are the A.I-native way to represent any kind of data, making them the perfect fit for working with all kinds of A.I-powered tools and algorithms. They can represent text, images, and soon audio and video. There are many options for creating embeddings, whether locally using an installed library, or by calling an API. - -Chroma provides lightweight wrappers around popular embedding providers, making it easy to use them in your apps. You can set an embedding function when you create a Chroma collection, which will be used automatically, or you can call them directly yourself. - -{% special_table %} -{% /special_table %} - -| | Python | JS | -|--------------|-----------|---------------| -| [OpenAI](/integrations/openai) | ✅ | ✅ | -| [Google Generative AI](/integrations/google-gemini) | ✅ | ✅ | -| [Cohere](/integrations/cohere) | ✅ | ✅ | -| [Hugging Face](/integrations/hugging-face) | ✅ | ➖ | -| [Instructor](/integrations/instructor) | ✅ | ➖ | -| [Hugging Face Embedding Server](/integrations/hugging-face-server) | ✅ | ✅ | -| [Jina AI](/integrations/jinaai) | ✅ | ✅ | - -We welcome pull requests to add new Embedding Functions to the community. - -*** - -## Default: all-MiniLM-L6-v2 - -By default, Chroma uses the [Sentence Transformers](https://www.sbert.net/) `all-MiniLM-L6-v2` model to create embeddings. This embedding model can create sentence and document embeddings that can be used for a wide variety of tasks. This embedding function runs locally on your machine, and may require you download the model files (this will happen automatically). - -```python -from chromadb.utils import embedding_functions -default_ef = embedding_functions.DefaultEmbeddingFunction() -``` - -{% note type="default" %} -Embedding functions can be linked to a collection and used whenever you call `add`, `update`, `upsert` or `query`. You can also use them directly which can be handy for debugging. -```py -val = default_ef(["foo"]) -``` --> [[0.05035809800028801, 0.0626462921500206, -0.061827320605516434...]] -{% /note %} - - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -## Sentence Transformers - -Chroma can also use any [Sentence Transformers](https://www.sbert.net/) model to create embeddings. - -```python -sentence_transformer_ef = embedding_functions.SentenceTransformerEmbeddingFunction(model_name="all-MiniLM-L6-v2") -``` - -You can pass in an optional `model_name` argument, which lets you choose which Sentence Transformers model to use. By default, Chroma uses `all-MiniLM-L6-v2`. You can see a list of all available models [here](https://www.sbert.net/docs/pretrained_models.html). - -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} -{% /tabs %} - - -*** - - -## Custom Embedding Functions - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -You can create your own embedding function to use with Chroma, it just needs to implement the `EmbeddingFunction` protocol. - -```python -from chromadb import Documents, EmbeddingFunction, Embeddings - -class MyEmbeddingFunction(EmbeddingFunction): - def __call__(self, input: Documents) -> Embeddings: - # embed the documents somehow - return embeddings -``` - -We welcome contributions! If you create an embedding function that you think would be useful to others, please consider [submitting a pull request](https://github.com/chroma-core/chroma) to add it to Chroma's `embedding_functions` module. - - -{% /tab %} -{% tab label="Javascript" %} - -You can create your own embedding function to use with Chroma, it just needs to implement the `EmbeddingFunction` protocol. The `.generate` method in a class is strictly all you need. - -```javascript -class MyEmbeddingFunction { - private api_key: string; - - constructor(api_key: string) { - this.api_key = api_key; - } - - public async generate(texts: string[]): Promise { - // do things to turn texts into embeddings with an api_key perhaps - return embeddings; - } -} -``` - -{% /tab %} -{% /tabs %} diff --git a/docs/docs.trychroma.com/markdoc/content/docs/guides/multimodal-guide.md b/docs/docs.trychroma.com/markdoc/content/docs/guides/multimodal-guide.md deleted file mode 100644 index 70d7b30e5dc..00000000000 --- a/docs/docs.trychroma.com/markdoc/content/docs/guides/multimodal-guide.md +++ /dev/null @@ -1,158 +0,0 @@ ---- -{ - "id": "multimodal-guide", - "title": "Multimodal", - "section": "Guides", - "order": 2 -} ---- - -# Multimodal - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - ---- - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Chroma supports multimodal collections, i.e. collections which can store, and can be queried by, multiple modalities of data. - -Try it out in Colab: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/chroma-core/chroma/blob/main/examples/multimodal/multimodal_retrieval.ipynb) - -## Multi-modal Embedding Functions - -Chroma supports multi-modal embedding functions, which can be used to embed data from multiple modalities into a single embedding space. - -Chroma has the OpenCLIP embedding function built in, which supports both text and images. - -```python -from chromadb.utils.embedding_functions import OpenCLIPEmbeddingFunction -embedding_function = OpenCLIPEmbeddingFunction() -``` - -## Data Loaders - -Chroma supports data loaders, for storing and querying with data stored outside Chroma itself, via URI. Chroma will not store this data, but will instead store the URI, and load the data from the URI when needed. - -Chroma has an data loader for loading images from a filesystem built in. - -```python -from chromadb.utils.data_loaders import ImageLoader -data_loader = ImageLoader() -``` - -## Multi-modal Collections - -You can create a multi-modal collection by passing in a multi-modal embedding function. In order to load data from a URI, you must also pass in a data loader. - -```python -import chromadb - -client = chromadb.Client() - -collection = client.create_collection( - name='multimodal_collection', - embedding_function=embedding_function, - data_loader=data_loader) - -``` - -### Adding data - -You can add data to a multi-modal collection by specifying the data modality. For now, images are supported: - -```python -collection.add( - ids=['id1', 'id2', 'id3'], - images=[...] # A list of numpy arrays representing images -) -``` - -Note that Chroma will not store the data for you, and you will have to maintain a mapping from IDs to data yourself. - -However, you can use Chroma in combination with data stored elsewhere, by adding it via URI. Note that this requires that you have specified a data loader when creating the collection. - -```python -collection.add( - ids=['id1', 'id2', 'id3'], - uris=[...] # A list of strings representing URIs to data -) -``` - -Since the embedding function is multi-modal, you can also add text to the same collection: - -```python -collection.add( - ids=['id4', 'id5', 'id6'], - documents=["This is a document", "This is another document", "This is a third document"] -) -``` - -### Querying - -You can query a multi-modal collection with any of the modalities that it supports. For example, you can query with images: - -```python -results = collection.query( - query_images=[...] # A list of numpy arrays representing images -) -``` - -Or with text: - -```python -results = collection.query( - query_texts=["This is a query document", "This is another query document"] -) -``` - -If a data loader is set for the collection, you can also query with URIs which reference data stored elsewhere of the supported modalities: - -```python -results = collection.query( - query_uris=[...] # A list of strings representing URIs to data -) -``` - -Additionally, if a data loader is set for the collection, and URIs are available, you can include the data in the results: - -```python -results = collection.query( - query_images=[...], # # list of numpy arrays representing images - includes=['data'] -) -``` - -This will automatically call the data loader for any available URIs, and include the data in the results. `uris` are also available as an `includes` field. - -### Updating - -You can update a multi-modal collection by specifying the data modality, in the same way as `add`. For now, images are supported: - -```python -collection.update( - ids=['id1', 'id2', 'id3'], - images=[...] # A list of numpy arrays representing images -) -``` - -Note that a given entry with a specific ID can only have one associated modality at a time. Updates will over-write the existing modality, so for example, an entry which originally has corresponding text and updated with an image, will no longer have that text after an update with images. - -{% /tab %} -{% tab label="Javascript" %} - -Support for multi-modal retrieval for Chroma's JavaScript client is coming soon! - -{% /tab %} - -{% /tabs %} - diff --git a/docs/docs.trychroma.com/markdoc/content/docs/guides/usage-guide.md b/docs/docs.trychroma.com/markdoc/content/docs/guides/usage-guide.md deleted file mode 100644 index ce37ff89487..00000000000 --- a/docs/docs.trychroma.com/markdoc/content/docs/guides/usage-guide.md +++ /dev/null @@ -1,851 +0,0 @@ ---- -{ - "id": "usage-guide", - "title": "Usage Guide", - "section": "Guides", - "order": 0 -} ---- - - -# Usage Guide - - -{% tabs group="code-lang" hideContent=true %} - -{% tab label="Python" %} -{% /tab %} - -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - ---- - -## Initiating a persistent Chroma client - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -import chromadb -``` - -You can configure Chroma to save and load the database from your local machine. Data will be persisted automatically and loaded on start (if it exists). - -```python -client = chromadb.PersistentClient(path="/path/to/save/to") -``` - -The `path` is where Chroma will store its database files on disk, and load them on start. - -{% /tab %} -{% tab label="Javascript" %} - -```js -// CJS -const { ChromaClient } = require("chromadb"); - -// ESM -import { ChromaClient } from "chromadb"; -``` - -{% note type="note" title="Connecting to the backend" %} -To connect with the JS client, you must connect to a backend running Chroma. See [Running Chroma in client-server mode](#running-chroma-in-client-server-mode) for how to do this. -{% /note %} - -```js -const client = new ChromaClient(); -``` - -{% /tab %} - -{% /tabs %} - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -The client object has a few useful convenience methods. - -```python -client.heartbeat() # returns a nanosecond heartbeat. Useful for making sure the client remains connected. -client.reset() # Empties and completely resets the database. ⚠️ This is destructive and not reversible. -``` - -{% /tab %} -{% tab label="Javascript" %} - -The client object has a few useful convenience methods. - -```javascript -await client.reset() # Empties and completely resets the database. ⚠️ This is destructive and not reversible. -``` - -{% /tab %} - -{% /tabs %} - -## Running Chroma in client-server mode - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Chroma can also be configured to run in client/server mode. In this mode, the Chroma client connects to a Chroma server running in a separate process. - -To start the Chroma server, run the following command: - -```bash -chroma run --path /db_path -``` - -Then use the Chroma HTTP client to connect to the server: - -```python -import chromadb -chroma_client = chromadb.HttpClient(host='localhost', port=8000) -``` - -That's it! Chroma's API will run in `client-server` mode with just this change. - ---- - -Chroma also provides an async HTTP client. The behaviors and method signatures are identical to the synchronous client, but all methods that would block are now async. To use it, call `AsyncHttpClient` instead: - -```python -import asyncio -import chromadb - -async def main(): - client = await chromadb.AsyncHttpClient() - collection = await client.create_collection(name="my_collection") - - await collection.add( - documents=["hello world"], - ids=["id1"] - ) - -asyncio.run(main()) -``` - - - -#### Using the Python HTTP-only client - -If you are running Chroma in client-server mode, you may not need the full Chroma library. Instead, you can use the lightweight client-only library. -In this case, you can install the `chromadb-client` package. This package is a lightweight HTTP client for the server with a minimal dependency footprint. - -```python -pip install chromadb-client -``` - -```python -import chromadb -# Example setup of the client to connect to your chroma server -client = chromadb.HttpClient(host='localhost', port=8000) - -# Or for async usage: -async def main(): - client = await chromadb.AsyncHttpClient(host='localhost', port=8000) -``` - -Note that the `chromadb-client` package is a subset of the full Chroma library and does not include all the dependencies. If you want to use the full Chroma library, you can install the `chromadb` package instead. -Most importantly, there is no default embedding function. If you add() documents without embeddings, you must have manually specified an embedding function and installed the dependencies for it. - -{% /tab %} -{% tab label="Javascript" %} - -To run Chroma in client server mode, first install the chroma library and CLI via pypi: - -```bash -pip install chromadb -``` - -Then start the Chroma server: - -```bash -chroma run --path /db_path -``` - -The JS client then talks to the chroma server backend. - -```js -// CJS -const { ChromaClient } = require("chromadb"); - -// ESM -import { ChromaClient } from "chromadb"; - -const client = new ChromaClient(); -``` - -You can also run the Chroma server in a docker container, or deployed to a cloud provider. See the [deployment docs](./deployment.md) for more information. - -{% /tab %} - -{% /tabs %} - -## Using collections - -Chroma lets you manage collections of embeddings, using the `collection` primitive. - -### Creating, inspecting, and deleting Collections - -Chroma uses collection names in the url, so there are a few restrictions on naming them: - -- The length of the name must be between 3 and 63 characters. -- The name must start and end with a lowercase letter or a digit, and it can contain dots, dashes, and underscores in between. -- The name must not contain two consecutive dots. -- The name must not be a valid IP address. - -Chroma collections are created with a name and an optional embedding function. If you supply an embedding function, you must supply it every time you get the collection. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection = client.create_collection(name="my_collection", embedding_function=emb_fn) -collection = client.get_collection(name="my_collection", embedding_function=emb_fn) -``` - -{% note type="caution" %} -If you later wish to `get_collection`, you MUST do so with the embedding function you supplied while creating the collection -{% /note %} - -The embedding function takes text as input, and performs tokenization and embedding. If no embedding function is supplied, Chroma will use [sentence transformer](https://www.sbert.net/index.html) as a default. - -{% /tab %} -{% tab label="Javascript" %} - -```js -// CJS -const { ChromaClient } = require("chromadb"); - -// ESM -import { ChromaClient } from "chromadb"; -``` - -The JS client talks to a chroma server backend. This can run on your local computer or be easily deployed to AWS. - -```js -let collection = await client.createCollection({ - name: "my_collection", - embeddingFunction: emb_fn, -}); -let collection2 = await client.getCollection({ - name: "my_collection", - embeddingFunction: emb_fn, -}); -``` - -{% note type="caution" %} -If you later wish to `getCollection`, you MUST do so with the embedding function you supplied while creating the collection -{% /note %} - -The embedding function takes text as input, and performs tokenization and embedding. - -{% /tab %} - -{% /tabs %} - -You can learn more about [🧬 embedding functions](./guides/embeddings), and how to create your own. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Existing collections can be retrieved by name with `.get_collection`, and deleted with `.delete_collection`. You can also use `.get_or_create_collection` to get a collection if it exists, or create it if it doesn't. - -```python -collection = client.get_collection(name="test") # Get a collection object from an existing collection, by name. Will raise an exception if it's not found. -collection = client.get_or_create_collection(name="test") # Get a collection object from an existing collection, by name. If it doesn't exist, create it. -client.delete_collection(name="my_collection") # Delete a collection and all associated embeddings, documents, and metadata. ⚠️ This is destructive and not reversible -``` - -{% /tab %} -{% tab label="Javascript" %} - -Existing collections can be retrieved by name with `.getCollection`, and deleted with `.deleteCollection`. - -```javascript -const collection = await client.getCollection({ name: "test" }); // Get a collection object from an existing collection, by name. Will raise an exception of it's not found. -collection = await client.getOrCreateCollection({ name: "test" }); // Get a collection object from an existing collection, by name. If it doesn't exist, create it. -await client.deleteCollection(collection); // Delete a collection and all associated embeddings, documents, and metadata. ⚠️ This is destructive and not reversible -``` - -{% /tab %} - -{% /tabs %} - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Collections have a few useful convenience methods. - -```python -collection.peek() # returns a list of the first 10 items in the collection -collection.count() # returns the number of items in the collection -collection.modify(name="new_name") # Rename the collection -``` - -{% /tab %} -{% tab label="Javascript" %} - -There are a few useful convenience methods for working with Collections. - -```javascript -await collection.peek(); // returns a list of the first 10 items in the collection -await collection.count(); // returns the number of items in the collection -``` - -{% /tab %} - -{% /tabs %} - -### Changing the distance function - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -`create_collection` also takes an optional `metadata` argument which can be used to customize the distance method of the embedding space by setting the value of `hnsw:space`. - -```python - collection = client.create_collection( - name="collection_name", - metadata={"hnsw:space": "cosine"} # l2 is the default - ) -``` - -{% /tab %} -{% tab label="Javascript" %} - -`createCollection` also takes an optional `metadata` argument which can be used to customize the distance method of the embedding space by setting the value of `hnsw:space` - -```js -let collection = client.createCollection({ - name: "collection_name", - metadata: { "hnsw:space": "cosine" }, -}); -``` - -{% /tab %} - -{% /tabs %} - -Valid options for `hnsw:space` are "l2", "ip, "or "cosine". The **default** is "l2" which is the squared L2 norm. - -{% special_table %} -{% /special_table %} - -| Distance | parameter | Equation | -| ----------------- | :-------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| Squared L2 | `l2` | {% math latexText="d = \\sum\\left(A_i-B_i\\right)^2" %}{% /math %} | -| Inner product | `ip` | {% math latexText="d = 1.0 - \\sum\\left(A_i \\times B_i\\right) " %}{% /math %} | -| Cosine similarity | `cosine` | {% math latexText="d = 1.0 - \\frac{\\sum\\left(A_i \\times B_i\\right)}{\\sqrt{\\sum\\left(A_i^2\\right)} \\cdot \\sqrt{\\sum\\left(B_i^2\\right)}}" %}{% /math %} | - -### Adding data to a Collection - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Add data to Chroma with `.add`. - -Raw documents: - -```python -collection.add( - documents=["lorem ipsum...", "doc2", "doc3", ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - ids=["id1", "id2", "id3", ...] -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -Add data to Chroma with `.addRecords`. - -Raw documents: - -```javascript -await collection.add({ - ids: ["id1", "id2", "id3", ...], - metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents: ["lorem ipsum...", "doc2", "doc3", ...], -}) -// input order -// ids - required -// embeddings - optional -// metadata - optional -// documents - optional -``` - -{% /tab %} - -{% /tabs %} - -If Chroma is passed a list of `documents`, it will automatically tokenize and embed them with the collection's embedding function (the default will be used if none was supplied at collection creation). Chroma will also store the `documents` themselves. If the documents are too large to embed using the chosen embedding function, an exception will be raised. - -Each document must have a unique associated `id`. Trying to `.add` the same ID twice will result in only the initial value being stored. An optional list of `metadata` dictionaries can be supplied for each document, to store additional information and enable filtering. - -Alternatively, you can supply a list of document-associated `embeddings` directly, and Chroma will store the associated documents without embedding them itself. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.add( - documents=["doc1", "doc2", "doc3", ...], - embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - ids=["id1", "id2", "id3", ...] -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.add({ - ids: ["id1", "id2", "id3", ...], - embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents: ["lorem ipsum...", "doc2", "doc3", ...], -}) - -``` - -{% /tab %} - -{% /tabs %} - -If the supplied `embeddings` are not the same dimension as the collection, an exception will be raised. - -You can also store documents elsewhere, and just supply a list of `embeddings` and `metadata` to Chroma. You can use the `ids` to associate the embeddings with your documents stored elsewhere. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.add( - ids=["id1", "id2", "id3", ...], - embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...] -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.add({ - ids: ["id1", "id2", "id3", ...], - embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], -}) -``` - -{% /tab %} - -{% /tabs %} - -### Querying a Collection - -You can query by a set of `query_embeddings`. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Chroma collections can be queried in a variety of ways, using the `.query` method. - -```python -collection.query( - query_embeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], - n_results=10, - where={"metadata_field": "is_equal_to_this"}, - where_document={"$contains":"search_string"} -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -Chroma collections can be queried in a variety of ways, using the `.queryRecords` method. - -```javascript -const result = await collection.query({ - queryEmbeddings: [[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], - nResults: 10, - where: {"metadata_field": "is_equal_to_this"}, -}) -// input order -// queryEmbeddings - optional, exactly one of queryEmbeddings and queryTexts must be provided -// queryTexts - optional -// n_results - required -// where - optional -``` - -{% /tab %} - -{% /tabs %} - -The query will return the `n_results` closest matches to each `query_embedding`, in order. -An optional `where` filter dictionary can be supplied to filter by the `metadata` associated with each document. -Additionally, an optional `where_document` filter dictionary can be supplied to filter by contents of the document. - -If the supplied `query_embeddings` are not the same dimension as the collection, an exception will be raised. - -You can also query by a set of `query_texts`. Chroma will first embed each `query_text` with the collection's embedding function, and then perform the query with the generated embedding. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.query( - query_texts=["doc10", "thus spake zarathustra", ...], - n_results=10, - where={"metadata_field": "is_equal_to_this"}, - where_document={"$contains":"search_string"} -) -``` - -You can also retrieve items from a collection by `id` using `.get`. - -```python -collection.get( - ids=["id1", "id2", "id3", ...], - where={"style": "style1"} -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.query({ - nResults: 10, // n_results - where: {"metadata_field": "is_equal_to_this"}, // where - queryTexts: ["doc10", "thus spake zarathustra", ...], // query_text -}) -``` - -You can also retrieve records from a collection by `id` using `.getRecords`. - -```javascript -await collection.get( { - ids: ["id1", "id2", "id3", ...], //ids - where: {"style": "style1"} // where -}) -``` - -{% /tab %} - -{% /tabs %} - -`.get` also supports the `where` and `where_document` filters. If no `ids` are supplied, it will return all items in the collection that match the `where` and `where_document` filters. - -##### Choosing which data is returned - -When using get or query you can use the include parameter to specify which data you want returned - any of `embeddings`, `documents`, `metadatas`, and for query, `distances`. By default, Chroma will return the `documents`, `metadatas` and in the case of query, the `distances` of the results. `embeddings` are excluded by default for performance and the `ids` are always returned. You can specify which of these you want returned by passing an array of included field names to the includes parameter of the query or get method. Note that embeddings will be returned as a 2-d numpy array in `.get` and a python list of 2-d numpy arrays in `.query`. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -# Only get documents and ids -collection.get( - include=["documents"] -) - -collection.query( - query_embeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], - include=["documents"] -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -# Only get documents and ids -collection.get( - {include=["documents"]} -) - -collection.get({ - queryEmbeddings=[[11.1, 12.1, 13.1],[1.1, 2.3, 3.2], ...], - include=["documents"] -}) -``` - -{% /tab %} - -{% /tabs %} - -### Using Where filters - -Chroma supports filtering queries by `metadata` and `document` contents. The `where` filter is used to filter by `metadata`, and the `where_document` filter is used to filter by `document` contents. - -##### Filtering by metadata - -In order to filter on metadata, you must supply a `where` filter dictionary to the query. The dictionary must have the following structure: - -```python -{ - "metadata_field": { - : - } -} -``` - -Filtering metadata supports the following operators: - -- `$eq` - equal to (string, int, float) -- `$ne` - not equal to (string, int, float) -- `$gt` - greater than (int, float) -- `$gte` - greater than or equal to (int, float) -- `$lt` - less than (int, float) -- `$lte` - less than or equal to (int, float) - -Using the $eq operator is equivalent to using the `where` filter. - -```python -{ - "metadata_field": "search_string" -} - -# is equivalent to - -{ - "metadata_field": { - "$eq": "search_string" - } -} -``` - -{% note type="note" %} -Where filters only search embeddings where the key exists. If you search `collection.get(where={"version": {"$ne": 1}})`. Metadata that does not have the key `version` will not be returned. -{% /note %} - -##### Filtering by document contents - -In order to filter on document contents, you must supply a `where_document` filter dictionary to the query. We support two filtering keys: `$contains` and `$not_contains`. The dictionary must have the following structure: - -```python -# Filtering for a search_string -{ - "$contains": "search_string" -} -``` - -```python -# Filtering for not contains -{ - "$not_contains": "search_string" -} -``` - -##### Using logical operators - -You can also use the logical operators `$and` and `$or` to combine multiple filters. - -An `$and` operator will return results that match all of the filters in the list. - -```python -{ - "$and": [ - { - "metadata_field": { - : - } - }, - { - "metadata_field": { - : - } - } - ] -} -``` - -An `$or` operator will return results that match any of the filters in the list. - -```python -{ - "$or": [ - { - "metadata_field": { - : - } - }, - { - "metadata_field": { - : - } - } - ] -} -``` - -##### Using inclusion operators (`$in` and `$nin`) - -The following inclusion operators are supported: - -- `$in` - a value is in predefined list (string, int, float, bool) -- `$nin` - a value is not in predefined list (string, int, float, bool) - -An `$in` operator will return results where the metadata attribute is part of a provided list: - -```json -{ - "metadata_field": { - "$in": ["value1", "value2", "value3"] - } -} -``` - -An `$nin` operator will return results where the metadata attribute is not part of a provided list: - -```json -{ - "metadata_field": { - "$nin": ["value1", "value2", "value3"] - } -} -``` - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -{% note type="note" title="Practical examples" %} -For additional examples and a demo how to use the inclusion operators, please see provided notebook [here](https://github.com/chroma-core/chroma/blob/main/examples/basic_functionality/in_not_in_filtering.ipynb) -{% /note %} - -{% /tab %} -{% tab label="Javascript" %} -{% /tab %} - -{% /tabs %} - -### Updating data in a collection - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -Any property of records in a collection can be updated using `.update`. - -```python -collection.update( - ids=["id1", "id2", "id3", ...], - embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents=["doc1", "doc2", "doc3", ...], -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -Any property of records in a collection can be updated using `.updateRecords`. - -```javascript -collection.update( - { - ids: ["id1", "id2", "id3", ...], - embeddings: [[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas: [{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents: ["doc1", "doc2", "doc3", ...], - }, -) -``` - -{% /tab %} - -{% /tabs %} - -If an `id` is not found in the collection, an error will be logged and the update will be ignored. If `documents` are supplied without corresponding `embeddings`, the embeddings will be recomputed with the collection's embedding function. - -If the supplied `embeddings` are not the same dimension as the collection, an exception will be raised. - -Chroma also supports an `upsert` operation, which updates existing items, or adds them if they don't yet exist. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.upsert( - ids=["id1", "id2", "id3", ...], - embeddings=[[1.1, 2.3, 3.2], [4.5, 6.9, 4.4], [1.1, 2.3, 3.2], ...], - metadatas=[{"chapter": "3", "verse": "16"}, {"chapter": "3", "verse": "5"}, {"chapter": "29", "verse": "11"}, ...], - documents=["doc1", "doc2", "doc3", ...], -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.upsert({ - ids: ["id1", "id2", "id3"], - embeddings: [ - [1.1, 2.3, 3.2], - [4.5, 6.9, 4.4], - [1.1, 2.3, 3.2], - ], - metadatas: [ - { chapter: "3", verse: "16" }, - { chapter: "3", verse: "5" }, - { chapter: "29", verse: "11" }, - ], - documents: ["doc1", "doc2", "doc3"], -}); -``` - -{% /tab %} - -{% /tabs %} - -If an `id` is not present in the collection, the corresponding items will be created as per `add`. Items with existing `id`s will be updated as per `update`. - -### Deleting data from a collection - -Chroma supports deleting items from a collection by `id` using `.delete`. The embeddings, documents, and metadata associated with each item will be deleted. -⚠️ Naturally, this is a destructive operation, and cannot be undone. - -{% tabs group="code-lang" hideTabs=true %} -{% tab label="Python" %} - -```python -collection.delete( - ids=["id1", "id2", "id3",...], - where={"chapter": "20"} -) -``` - -{% /tab %} -{% tab label="Javascript" %} - -```javascript -await collection.delete({ - ids: ["id1", "id2", "id3",...], //ids - where: {"chapter": "20"} //where -}) -``` - -{% /tab %} - -{% /tabs %} - -`.delete` also supports the `where` filter. If no `ids` are supplied, it will delete all items in the collection that match the `where` filter. diff --git a/docs/docs.trychroma.com/markdoc/content/reference/python/client.md b/docs/docs.trychroma.com/markdoc/content/reference/python/client.md index 1584a28d6df..7b47ab1a9ce 100644 --- a/docs/docs.trychroma.com/markdoc/content/reference/python/client.md +++ b/docs/docs.trychroma.com/markdoc/content/reference/python/client.md @@ -159,7 +159,7 @@ Used to check if the server is alive. - `int` - The current time in nanoseconds since epoch -## count\_collections +## count_collections ```python def count_collections() -> int @@ -179,7 +179,7 @@ client.count_collections() # 1 ``` -## delete\_collection +## delete_collection ```python def delete_collection(name: str) -> None @@ -215,7 +215,7 @@ Resets the database. This will delete all collections and entries. - `bool` - True if the database was reset successfully. -## get\_version +## get_version ```python def get_version() -> str @@ -227,7 +227,7 @@ Get the version of Chroma. - `str` - The version of Chroma -## get\_settings +## get_settings ```python def get_settings() -> Settings @@ -239,7 +239,7 @@ Get the settings used to initialize. - `Settings` - The settings used to initialize. -## get\_max\_batch\_size +## get_max_batch_size ```python def get_max_batch_size() -> int @@ -255,7 +255,7 @@ Return the maximum number of records that can be created or mutated in a single class ClientAPI(BaseAPI, ABC) ``` -## list\_collections +## list_collections ```python def list_collections(limit: Optional[int] = None, @@ -366,7 +366,7 @@ Get a collection with the given name. # collection(name="my_collection", metadata={}) ``` -## get\_or\_create\_collection +## get_or_create_collection ```python def get_or_create_collection( diff --git a/docs/docs.trychroma.com/next.config.mjs b/docs/docs.trychroma.com/next.config.mjs index 9aca8484266..295262aefae 100644 --- a/docs/docs.trychroma.com/next.config.mjs +++ b/docs/docs.trychroma.com/next.config.mjs @@ -1,6 +1,6 @@ /** @type {import('next').NextConfig} */ const nextConfig = { - webpack(config) { + webpack(config, { isServer }) { config.module.rules.push({ test: /\.svg$/, use: [ @@ -12,8 +12,15 @@ const nextConfig = { }, ], }); + + config.externals = [ + ...(config.externals || []), + "@xenova/transformers", + "chromadb", + ]; + return config; - } + }, }; export default nextConfig; diff --git a/docs/docs.trychroma.com/package.json b/docs/docs.trychroma.com/package.json index b19d75c6cf5..648c755afcc 100644 --- a/docs/docs.trychroma.com/package.json +++ b/docs/docs.trychroma.com/package.json @@ -6,15 +6,17 @@ "start": "next start", "index": "node scripts/indexContent.mjs", "gen-js": "sh scripts/jsDocs.sh", - "gen-python": "sh scripts/pythonDocs.sh" + "gen-python": "sh scripts/pythonDocs.sh", + "ingest-docs": "tsx search/ingest-docs.ts" }, "dependencies": { "@docsearch/react": "^3.8.0", "@heroicons/react": "^2.2.0", + "@langchain/textsplitters": "^0.1.0", "@markdoc/markdoc": "latest", "@markdoc/next.js": "^0.3.7", "@matejmazur/react-katex": "^3.1.3", - "@radix-ui/react-dialog": "^1.1.2", + "@radix-ui/react-dialog": "^1.1.4", "@radix-ui/react-dropdown-menu": "^2.0.6", "@radix-ui/react-icons": "^1.3.0", "@radix-ui/react-menubar": "^1.0.4", @@ -27,13 +29,18 @@ "@sindresorhus/slugify": "^2.2.1", "@svgr/webpack": "^8.1.0", "@tailwindcss/typography": "^0.5.15", + "@xenova/transformers": "^2.17.2", "algoliasearch": "^5.17.1", + "chromadb": "^1.9.4", + "chromadb-default-embed": "^2.13.2", "class-variance-authority": "^0.7.0", "clsx": "^2.1.0", + "dotenv": "^16.4.7", "flexsearch": "^0.7.43", "gray-matter": "^4.0.3", "image-size": "^1.1.1", "katex": "^0.16.9", + "lodash": "^4.17.21", "lucide": "^0.464.0", "lucide-react": "^0.464.0", "next": "^14.2.13", @@ -50,10 +57,12 @@ "tailwind-merge": "^2.2.1", "tailwindcss-animate": "^1.0.7", "unified": "^11.0.5", + "uuid": "^11.0.3", "vaul": "^1.1.1" }, "devDependencies": { "@types/katex": "^0.16.7", + "@types/lodash": "^4.17.13", "@types/node": "latest", "@types/prismjs": "^1.26.5", "@types/react": "latest", @@ -63,6 +72,8 @@ "postcss": "^8.4.35", "prettier": "^3.4.1", "tailwindcss": "^3.4.1", + "ts-node": "^10.9.2", + "tsx": "^4.19.2", "typedoc": "^0.24.7", "typedoc-plugin-markdown": "^3.15.3", "typescript": "latest" diff --git a/docs/docs.trychroma.com/public/chroma-icon.svg b/docs/docs.trychroma.com/public/chroma-icon.svg new file mode 100644 index 00000000000..fc07764e435 --- /dev/null +++ b/docs/docs.trychroma.com/public/chroma-icon.svg @@ -0,0 +1,59 @@ + + + + + Chroma + + + + + + diff --git a/docs/docs.trychroma.com/search/ingest-docs.ts b/docs/docs.trychroma.com/search/ingest-docs.ts new file mode 100644 index 00000000000..fb1e8059604 --- /dev/null +++ b/docs/docs.trychroma.com/search/ingest-docs.ts @@ -0,0 +1,212 @@ +import { promises as fs } from "fs"; +import path from "path"; +import { fileURLToPath } from "url"; +import { ChromaClient } from "chromadb"; +import "dotenv/config"; +// @ts-ignore +import { Collection } from "chromadb/src/Collection"; +import { + RecursiveCharacterTextSplitter, + TokenTextSplitter, +} from "@langchain/textsplitters"; +import { v4 as uuidv4 } from "uuid"; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +const splitMarkdownByHeaders = ( + markdownContent: string, +): { + title: string; + content: string; +}[] => { + const normalizedContent = markdownContent.replace(/\r\n/g, "\n"); + const lines = normalizedContent.split("\n"); + + const sections: { + content: string; + title: string; + }[] = []; + let currentSection: string[] = []; + let currentTitle = ""; + let hasStarted = false; + let insideCodeFence = false; + let currentFenceMarker = ""; + + const addCurrentSection = () => { + if (currentSection.length > 0 && hasStarted) { + sections.push({ + content: currentSection.join("\n").trim(), + title: currentTitle, + }); + currentSection = []; + } + }; + + for (let i = 0; i < lines.length; i++) { + const line = lines[i]; + + const codeFenceMatch = line.match(/^([`~]{3,})/); + if (codeFenceMatch) { + if (!insideCodeFence) { + insideCodeFence = true; + currentFenceMarker = codeFenceMatch[1][0]; // Remember if it's ` or ~ + } else if (line.startsWith(currentFenceMarker)) { + insideCodeFence = false; + } + currentSection.push(line); + continue; + } + + if (insideCodeFence) { + currentSection.push(line); + continue; + } + + const headerMatch = line.match(/^(#{1,2})\s+(.+)$/); + + if (headerMatch) { + const [fullMatch, hashes, headerText] = headerMatch; + + if (hashes.length <= 2) { + addCurrentSection(); + currentTitle = headerText.trim(); + currentSection.push(line); + hasStarted = true; + } else { + currentSection.push(line); + } + } else { + currentSection.push(line); + } + } + + addCurrentSection(); + return sections; +}; + +export const recursiveChunker = async ( + inputData: string, + chunkSize: number, + chunkOverlap: number, +): Promise<{ chunk: string; title: string }[]> => { + const markdocTagPattern = /{%\s.*?\s%}/g; + const data = inputData.replace(markdocTagPattern, ""); + + const sections = splitMarkdownByHeaders(data); + const splitter = new RecursiveCharacterTextSplitter({ + chunkSize, + chunkOverlap, + separators: ["\n\n", "\n", ".", " ", ""], + }); + + const results: { chunk: string; title: string }[] = []; + for (const { title, content } of sections) { + const sectionChunks = await splitter.splitText(content); + for (const c of sectionChunks) { + results.push({ chunk: c, title }); + } + } + + return results; +}; + +const tokenChunker = async ( + data: { chunk: string; title: string }, + chunkSize: number, + chunkOverlap: number, +) => { + const splitter = new TokenTextSplitter({ chunkSize, chunkOverlap }); + return (await splitter.splitText(data.chunk)).map((chunk) => { + return { chunk, title: data.title }; + }); +}; + +const ingestDocs = async ( + collection: Collection, + filePath: string, + pageLink: string, +) => { + try { + const content = await fs.readFile(filePath, "utf8"); + + const match = content.match(/^# (.+)/m); + const pageTitle = match ? match[1].trim() : "Chroma Docs"; + + const splitTexts = await recursiveChunker(content, 1000, 100); + const tokenSplitTexts: { chunk: string; title: string }[] = []; + for (const chunk of splitTexts) { + tokenSplitTexts.push(...(await tokenChunker(chunk, 256, 0))); + } + + const path = pageLink.split("/").slice(1); + + await collection.add({ + ids: tokenSplitTexts.map(() => uuidv4()), + documents: tokenSplitTexts.map((chunk) => chunk.chunk), + metadatas: tokenSplitTexts.map((chunk) => { + return { + section: path[0], + subsection: path.length === 3 ? path[1] : undefined, + page: path.length === 3 ? path[2] : path[1], + title: chunk.title, + pageTitle, + }; + }), + }); + } catch (err) { + console.error("Error ingesting file:", `${pageLink}\n${err}`); + } +}; + +const collectMarkdownFiles = async ( + dir: string, + allFiles: string[], +): Promise => { + const entries = await fs.readdir(dir, { withFileTypes: true }); + + for (const entry of entries) { + const fullPath = path.join(dir, entry.name); + + if (entry.isDirectory()) { + await collectMarkdownFiles(fullPath, allFiles); + } else if (entry.isFile() && entry.name.endsWith(".md")) { + allFiles.push(fullPath); + } + } +}; + +const main = async (): Promise => { + const markdocContentDir = path.join(__dirname, "..", "markdoc", "content"); + const allMarkdowns: string[] = []; + await collectMarkdownFiles(markdocContentDir, allMarkdowns); + + const chromaClient = new ChromaClient({ + path: "https://api.trychroma.com:8000", + auth: { + provider: "token", + credentials: process.env.CHROMA_CLOUD_API_KEY, + tokenHeaderType: "X_CHROMA_TOKEN", + }, + tenant: process.env.CHROMA_CLOUD_TENANT, + database: "docs", + }); + + const collection: Collection = await chromaClient.getOrCreateCollection({ + name: "docs-content", + }); + + for (const doc of allMarkdowns) { + await ingestDocs( + collection, + doc, + doc.replace(markdocContentDir, "").replace(".md", ""), + ); + } +}; + +if (import.meta.url === `file://${__filename}`) { + main().catch((err) => console.error("Error:", err)); +} + +export default main;