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QMD - Query Markdown

by ehc-io

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      Enables semantic search over local markdown documentation by indexing files and ranking results using vector similarity and BM25 fusion.
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    • A
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      Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.
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    • A
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      Enables AI agents to search local text and Markdown collections using keyword BM25, semantic vector search, and reranked hybrid retrieval, with full-document retrieval and collection status over MCP.
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    • F
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      quality
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      Enables AI agents and MCP hosts to query locally indexed notes, docs, chat logs, and other files via hybrid vector/BM25 retrieval with section-level citations. Exposes tools, resources, and prompts for searching and asking over the indexed content.
      -

    Maintenance

    ActivityInactive
    ResponsivenessNo issues