microsoft / deepRAG

Uses a blend of experimental techniques to enhance LLM RAG resultsets.
MIT License
19 stars 4 forks source link

Project

The deepRAG project seeks to extend classic retrieval using vector databases to optional utilize other search technologies for extended results. This will initially be done by utilizing graph databases to help answer queries related to content summaries that aren't directly related to snippets of content.

The architecture of this project is located in ARCHITECTURE.MD.

Running the project

Run the following command. poetry install

Then, select the interpreter in the poetry cache.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.