All classes are under active development and subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.
Thanks to @jtlew for the initial insight for the need on this construct.
This construct provides a Amazon Elastic Cluster Service using Llamaindex Data Loaders with default properties here.
Here is a minimal deployable pattern definition:
TypeScript
import { Construct } from 'constructs';
import { Stack, StackProps, Aws } from 'aws-cdk-lib';
import { LlamaIndexDataLoader } from '@cdklabs/generative-ai-cdk-constructs';
const dataLoader = new LlamaIndexDataLoader(this, 'LlamaIndexDataLoader', {});Python
from constructs import Construct
from cdklabs.generative_ai_cdk_constructs import LlamaIndexDataLoader
data_loader = LlamaIndexDataLoader(self, 'LlamaIndexDataLoader', )new LlamaIndexDataLoader(scope: Construct, id: string, props: LlamaIndexDataLoaderProps)Parameters
- scope Construct
- id string
- props LlamaIndexDataLoaderProps
| Name | Type | Required | Description |
|---|---|---|---|
| dockerImageAssetDirectory | string |  |
A path to a directory to build a DockerImageAsset. NOTE: Currently the platform is fixed to Platform.LINUX_AMD64 with the runtime platform to match with CpuArchitecture.X86_64 and OperatingSystemFamily.LINUX for the running Fargate ECS |
| memoryLimitMiB | number | |
The memory configuration for the container, should be a valid Memory defined AWS::ECS::TaskDefinition |
| containerLoggingLevel | string | |
The python logging level for the ECS tasks |
| outputBucket | Bucket | |
The output bucket. If not passed in one will be created automatically |
| vpc | IVpc | |
The VPC to use. If not passed in, the QueueProcessingFargateService automatically created one will be used |
| Name | Type | Description |
|---|---|---|
| outputBucket | Bucket | The S3 Bucket for the output. |
| queueProcessingFargateService | QueueProcessingFargateService | The ECS Fargate and components assocated with the ECS pattern. |
N/A
Out-of-the-box implementation of the construct without any override will set the following defaults:
This repositories source default path
2048
'WARNING'
You are responsible for the cost of the AWS services used while running this construct.
We recommend creating a budget through AWS Cost Explorer to help manage costs. Prices are subject to change. For full details, refer to the pricing webpage for each AWS service used in this solution:
When you build systems on AWS infrastructure, security responsibilities are shared between you and AWS. This shared responsibility model reduces your operational burden because AWS operates, manages, and controls the components including the host operating system, virtualization layer, and physical security of the facilities in which the services operate. For more information about AWS security, visit AWS Cloud Security.
Optionnaly, you can provide existing resources to the constructs (marked optional in the construct pattern props). If you chose to do so, please refer to the official documentation on best practices to secure each service:
- Amazon S3
This solution depends uses the Amazon OpenSearch Serverless and Amazon CloudWatch services, which are not currently available in all AWS Regions. You must launch this construct in an AWS Region where these services are available. For the most current availability of AWS services by Region, see the AWS Regional Services List.
Service quotas, also referred to as limits, are the maximum number of service resources or operations for your AWS account.
Make sure you have sufficient quota for each of the services implemented in this solution. For more information, refer to AWS service quotas.
To view the service quotas for all AWS services in the documentation without switching pages, view the information in the Service endpoints and quotas page in the PDF instead.
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