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Alternatives to BerryRAG

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    • F
      license
      Not graded
      quality
      C
      maintenance
      Local RAG system that ingests documents into a vector database using FAISS and SQLite, then enables Claude to search over them via MCP tools, all running locally with no API key required.
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      A lightweight RAG (Retrieval-Augmented Generation) system for Claude Code that enables semantic search over local markdown documents via MCP tools, saving tokens and time.
      63
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    • A
      license
      Not graded
      quality
      D
      maintenance
      A local RAG-powered documentation search system that uses vector embeddings and Qdrant to enable semantic search across markdown, HTML, and other file formats. It provides an MCP interface for AI tools like Cursor to intelligently query and retrieve information from local knowledge bases.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      A database-agnostic MCP server that integrates web crawling with Retrieval Augmented Generation, supporting multiple AI providers and vector database backends for flexible and intelligent content retrieval.
      1
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      A local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      A local RAG MCP server that enables AI tools like Claude to search indexed codebases and documentation using vector search with Ollama models.
      Apache 2.0