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Local RAG

by shinpr
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    • cowork-semantic-search

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    • mcp-local-rag

      roilanrodriguez55
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      Enables developers to index and search their own local PDF, DOCX, Markdown, and text documents from an MCP client or terminal, combining semantic similarity with keyword matching for exact technical terms. Everything runs on the user's machine with no API key, Docker, or external database, so private documents stay private and work offline after the initial model download.
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    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A4.2/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: ingest_file vs ingest_data split by source type, query_documents vs read_chunk_neighbors split by search vs context, and delete_file/list_files/sync_start are unique. The only mild overlap is status (index state) vs sync_status (sync job record), but descriptions disambiguate them well.

    Naming Consistency4/5

    Seven of nine tools follow a clean verb_noun pattern (query_documents, read_chunk_neighbors, delete_file, ingest_data, ingest_file, list_files, sync_start). The two noun-only names (status, sync_status) are minor deviations but still readable and consistent with each other.

    Tool Count5/5

    Nine tools is well-scoped for a local RAG server, with each tool earning its place across ingest, query, context, delete, list, sync, and status concerns. No redundant or filler tools.

    Completeness4/5

    The lifecycle is well covered: ingest (file/data), query, context retrieval, list, delete, sync, and status. The main gap is that changing a PDF's visual profile is only possible via the CLI, not through an MCP tool, though re-ingest provides a workaround.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources