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AWS

All functionality related to Amazon AWS platform

LLMs​

Bedrock​

See a usage example.

import { Bedrock } from "langchain/llms/bedrock";

SageMaker Endpoint​

Amazon SageMaker is a system that can build, train, and deploy machine learning (ML) models with fully managed infrastructure, tools, and workflows.

We use SageMaker to host our model and expose it as the SageMaker Endpoint.

See a usage example.

import {
  SagemakerEndpoint,
  SageMakerLLMContentHandler,
} from "langchain/llms/sagemaker_endpoint";

Text Embedding Models​

Bedrock​

See a usage example.

import { BedrockEmbeddings } from "langchain/embeddings/bedrock";

Document loaders​

AWS S3 Directory and File​

Amazon Simple Storage Service (Amazon S3) is an object storage service. AWS S3 Directory >AWS S3 Buckets

See a usage example for S3FileLoader.

npm install @aws-sdk/client-s3
import { S3Loader } from "langchain/document_loaders/web/s3";

Memory​

AWS DynamoDB​

AWS DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.

We have to configure the AWS CLI.

npm install @aws-sdk/client-dynamodb

See a usage example.

import { DynamoDBChatMessageHistory } from "@langchain/community/stores/message/dynamodb";

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