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halochamp

MCP-RagDoc

by halochamp

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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
      4
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables private, offline semantic search across local files (documents, images, videos) using OCR and vector search, and optionally performs web research with cited sources.
      AGPL 3.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables local AI agents to perform hybrid search (BM25 + vector) over privately indexed local files, including notes, PDFs, DOCX, source code, and OCR'd images. All indexing and retrieval stay on the machine with read-only, whitelist-scoped access.
      3
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables any MCP client to index files, directories, and arbitrary text into a local SQLite-backed vector database and perform semantic search with language-aware chunking, filters, and context expansion, all offline without network calls.
      10
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables assistants to search a personal library of local documents using hybrid BM25 and embeddings, retrieve exact passages with file and page citations, and manage collections entirely on the user's own machine.
      MIT