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

npm install @aws-sdk/client-s3

Yarn

yarn add @aws-sdk/client-s3

pnpm

pnpm add @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

npm install @aws-sdk/client-dynamodb

Yarn

yarn add @aws-sdk/client-dynamodb

pnpm

pnpm add @aws-sdk/client-dynamodb

See a usage example.

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