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Document Q&A MCP Server

by sprchr

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    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables RAG (Retrieval-Augmented Generation) capabilities with document processing, vector storage, and intelligent Q\&A using OpenAI embeddings and semantic search.
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    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables semantic search and question-answering over uploaded documents using vector embeddings and Google AI. Supports document organization with tags, section-aware queries, and hierarchical markdown structure preservation.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables intelligent search and question-answering over PDF documents using semantic similarity and keyword search. Supports OCR for scanned PDFs, persistent vector storage with ChromaDB, and maintains source tracking with page numbers.
      6
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
      1
      MIT