From cc7968bf54446947ad5107152c31757f08f018ee Mon Sep 17 00:00:00 2001 From: thgnw <30314631+thgnw@users.noreply.github.com> Date: Tue, 15 Aug 2023 15:59:30 +0200 Subject: [PATCH] Fix order of TOC and badges in README.md Also fix spelling error. Former-commit-id: 4d6cd5d17d1fd2c86ce554e35c50a08e538c9667 --- README.md | 31 +++++++++++++++++-------------- 1 file changed, 17 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index 34daa8191..fc30d1305 100644 --- a/README.md +++ b/README.md @@ -12,12 +12,12 @@

+ + slack + Coverage - - slack - Package version @@ -33,40 +33,43 @@

+ How To + | Installation | Quickstart | - Contributing - | - Feedback + Get Help & Community | - License + Contributing | - Get Help + Feedback | - How To + License | - Join Us + Join Us

SuperDuperDB allows you to easily integrate and manage any AI models and APIs with your datastore: from LLM based Q&A and vector search, image generation, segmentation, time series forecasting, anomaly detection, classification, recommendation, personalisation etc. to highly custom machine learning models and use-cases. -A single scalable deployment of all your AI models which is automatically kept up-to-date new data is handled automatically and immediately. +A single scalable deployment of all your AI models which is automatically kept up-to-date as new data is handled automatically and immediately. No data duplication, no pipelines, no duplicate infrastructure — just Python! | Supported Data Stores: | AI Frameworks, Models and APIs: | |--------------------------|--------------------------| -| - **MongoDB**
- **MongoDB Atlas**
- **S3**
*Coming soon:* PostgreSQL
MySQL, DuckDB, SQLLite
BigQuery, Snowflake | - **PyTorch**
- **HuggingFace**
- **OpenAI**
- **Scikit-Learn**
- **Llama 2**
- **CLIP**
- *Coming soon:* TensorFlow | +| - **MongoDB**
- **MongoDB Atlas**
- **S3**
- *Coming soon:* PostgreSQL
MySQL, DuckDB, SQLLite
BigQuery, Snowflake | - **PyTorch**
- **HuggingFace**
- **OpenAI**
- **Scikit-Learn**
- **Llama 2**
- **CLIP**
- *Coming soon:* TensorFlow |
- Explore the docs!
- Check out example use cases!
- Quickstart with Binder!
+- Join our Slack!
+
@@ -105,7 +108,7 @@ No data duplication, no pipelines, no duplicate infrastructure — just Python!<

# How To -### The following are examples of how you use SuperDuperDB with Python (find all how-tos and examples in the docs here): +### The following are examples of how to use SuperDuperDB with Python (find all how-tos and examples in the docs here): - **Add a ML/AI model to your datastore (read more in the docs here):** ```python @@ -248,7 +251,7 @@ pip install superduperdb # Quickstart -#### Try SuperDuperDB on Binder +#### Try SuperDuperDB on Binder: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/SuperDuperDB/superduperdb/main?urlpath=lab/tree/docs/how_to/playground.ipynb) This will set up a playground environment that includes: