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      license
      A
      quality
      D
      maintenance
      Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.
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    • A
      license
      -
      quality
      C
      maintenance
      Local offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, no Docker required.
      28
      AGPL 3.0
    • F
      license
      -
      quality
      D
      maintenance
      Enables semantic search over local notes and documents using natural language queries. Supports multiple file types (Markdown, Python, HTML, JSON, CSV, text) with fast local embeddings and persistent ChromaDB vector storage.
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    • A
      license
      -
      quality
      D
      maintenance
      Provides local semantic search over files using embeddings, enabling directory indexing and natural language queries without external services.
      MIT

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