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Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

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📚 Local RAG

local-rag-demo

OpenSSF Best Practices GitHub commit activity GitHub last commit GitHub License

Offline, Open-Source RAG

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Features:

  • Offline Embeddings & LLMs Support (No OpenAI!)
  • Support for Multiple Sources
    • Local Files
    • GitHub Repos
    • Websites
  • Streaming Responses
  • Conversational Memory
  • Chat Export

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Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

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  • Python 97.6%
  • Dockerfile 2.4%