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Keepygaga RAG

by TimWongUp

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Alternatives to Keepygaga RAG

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      license
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      quality
      A
      maintenance
      Enables AI hosts and agents to query locally indexed notes, docs, PDFs, chat logs, and other scattered files through hybrid vector and BM25 retrieval with section-level citations. It exposes tools, resources, and prompts for searching, asking questions, scoping by tags, traversing links, and reranking results.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP-compatible hosts to search, ask, and retrieve section-level citations from scattered local notes, docs, PDFs, Word files, web pages, org files, and chat logs using hybrid vector and BM25 retrieval.
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    • A
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      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
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP hosts to search and query a local hybrid vector/BM25 index of scattered notes, docs, PDFs, Office files, web pages, org files, and chat exports. It returns section-level citations so agents can ground answers in the user's own files.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI hosts and agents to search, ask, and retrieve cited sections from a locally indexed collection of notes, documents, PDFs, web pages, org files, and chat logs using hybrid vector and BM25 retrieval.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      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.
      -

    TDQS

    A4.4/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool exposed, there is no possible overlap or misselection between tools. The single search operation is unambiguous.

    Naming Consistency5/5

    The lone tool is named with a clear, lowercase verb ('search') that accurately describes its action. There are no other names to create mixed conventions or inconsistent patterns.

    Tool Count3/5

    A single tool is borderline: acceptable for a retrieval-only endpoint, but thin for a server branded as a RAG system, which would typically benefit from source/table discovery or management tools.

    Completeness3/5

    The search tool itself is feature-rich with hybrid retrieval, reranking, and filters, but the surface is incomplete for a RAG lifecycle: agents cannot ingest, update, delete, or even enumerate available sources/tables without external knowledge.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues