https://github.com/langchain-ai/langchain-aws

Build LangChain Applications on AWS
https://github.com/langchain-ai/langchain-aws

aws generative-ai langchain langchain-python

Last synced: 4 days ago
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Build LangChain Applications on AWS

• Host: GitHub
• URL: https://github.com/langchain-ai/langchain-aws
• Owner: langchain-ai
• License: mit
• Created: 2024-03-06T21:29:00.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-10-25T00:42:21.000Z (2 months ago)
• Last Synced: 2024-10-29T19:51:30.639Z (2 months ago)
• Topics: aws, generative-ai, langchain, langchain-python
• Language: Python
• Homepage:
• Size: 2.55 MB
• Stars: 103
• Watchers: 12
• Forks: 79
• Open Issues: 61
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

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README

        
# 🦜️🔗 LangChain 🤝 Amazon Web Services (AWS)

This repository provides LangChain components for various AWS services. It aims to replace and expand upon the existing LangChain AWS components found in the `langchain-community` package in the LangChain repository.

## Features

- **LLMs**: Includes LLM classes for AWS services like [Bedrock](https://aws.amazon.com/bedrock) and [SageMaker Endpoints](https://aws.amazon.com/sagemaker/deploy/), allowing you to leverage their language models within LangChain.

- **Retrievers**: Supports retrievers for services like [Amazon Kendra](https://aws.amazon.com/kendra/) and [KnowledgeBases for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/), enabling efficient retrieval of relevant information in your RAG applications.

- **Graphs**: Provides components for working with [AWS Neptune](https://aws.amazon.com/neptune/) graphs within LangChain.

- **Agents**: Includes Runnables to support [Amazon Bedrock Agents](https://aws.amazon.com/bedrock/agents/), allowing you to leverage Bedrock Agents within LangChain and LangGraph.

- **More to come**: This repository will continue to expand and offer additional components for various AWS services as development progresses.

**Note**: This repository will replace all AWS integrations currently present in the `langchain-community` package. Users are encouraged to migrate to this repository as soon as possible.

## Installation

You can install the `langchain-aws` package from PyPI.

```bash

pip install langchain-aws

```

## Usage

Here's a simple example of how to use the `langchain-aws` package.

```python

from langchain_aws import ChatBedrock

# Initialize the Bedrock chat model

llm = ChatBedrock(

    model="anthropic.claude-3-sonnet-20240229-v1:0",

    beta_use_converse_api=True

)

# Invoke the llm

response = llm.invoke("Hello! How are you today?")

print(response)

```

For more detailed usage examples and documentation, please refer to the [LangChain docs](https://python.langchain.com/docs/integrations/platforms/aws/).

## Contributing

We welcome contributions to this project! Please follow the [contribution guide](https://github.com/langchain-ai/langchain-aws/blob/main/.github/CONTRIBUTING.md) for instructions to setup the project for development and guidance on how to contribute effectively.

## License

This project is licensed under the [MIT License](LICENSE).