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Luissalet
by Luissalet

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Creates and searches private, local RAG libraries from documentation to ground AI assistants in authoritative sources, reducing hallucinations by providing current, accurate context from your own docs instead of relying on outdated training data.
      21
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to perform semantic, hybrid, and filtered search on indexed local documentation with RAG capabilities.
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Local-first memory and retrieval for private project knowledge. Enables indexing files, searching, and asking questions about project documents using local embeddings and LLM.
      6
      AGPL 3.0
    • A
      license
      A
      quality
      C
      maintenance
      Enables local-first hybrid knowledge retrieval from authorized Markdown and plain-text files, combining full-text and vector search with reranking and traceable source references via a single search tool.
      1
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.
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    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to search a local, fully offline personal document library (Markdown/txt/PDF/docx) via SQLite FTS5 trigram search with subject-terminology expansion, returning every hit with its domain, document title, section path, and page or offset provenance. It also exposes domain statistics, incremental ingestion, and document deprecation as tools, alongside a read-only, runtime-persona-scoped ask/coverage mode.
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