langchain-ai / langchain-aws
Build LangChain Applications on AWS
Why this job: works in the areas we cover, but does not say which job it does
What it does
- LLMs. Includes LLM classes for AWS services like Bedrock and SageMaker Endpoints, allowing you to leverage their language models within LangChain.
- VectorStores. Supports vectorstores for services like Amazon MemoryDB, Amazon S3 Vectors, and AWS ElastiCache for Valkey, providing efficient and scalable vector database for your applications.
- Retrievers. Supports retrievers for services like Amazon Kendra and KnowledgeBases for Amazon Bedrock, enabling efficient retrieval of relevant information in your RAG applications.
- Graphs. Provides components for working with AWS Neptune graphs within LangChain.
- Agents. Includes Runnables to support Amazon Bedrock Agents, allowing you to leverage Bedrock Agents within LangChain and LangGraph.
Get started
pip install langchain-aws- Maintenance
- Active
- Last commit yesterday
- Stars
- 354
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- langchain-aws==1.9.2
- Released 6 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 24
- Last 90 days
- Issues
- 84% closed
- 70 still open
- Pull requests
- 847 merged
- 45 waiting
- Releases
- 127
- 30+ in the last year
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More: languages, topics and project record
Languages
- Python 100%
- Makefile <1%
- Shell <1%
Topics
- aws
- generative-ai
- langchain
- langchain-python
Project record
- JobOther AI tools
- StatusListed
- Commits970
- Forks329
- Watching7
- Stars in 28 days+4
- CreatedMar 6, 2024
- First seen by usNov 7, 2026
- CheckedNov 12, 2026