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    • 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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    • 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.
      7
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to query a personal research paper knowledge base through hybrid search and reranking, allowing users to ask questions and retrieve relevant content from ingested PDFs.
      2
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI-powered querying of PDF documents using hybrid retrieval (BM25 + vector search) and retrieval-augmented generation, returning structured answers with source citations and confidence scores.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI applications to read and process PDF files with intelligent file search, text extraction, image processing, and optional OCR support for scanned documents.
      MIT