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"Hybrid RAG System for Indexing DevOps eBooks and Online Documentation" matching MCP servers:

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    Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.
    13
    249
    MIT
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    Search and retrieve Agent2Agent (A2A) protocol documentation using full-text search and section filtering.
    2
    MIT
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    quality
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    Enables AI clients to retrieve verified countdown event dates, semantics, and FAQ from Countdowns Online, allowing users to browse event categories and understand date contexts without API keys.
    2
    MIT
  • F
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    quality
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    A RAG-based knowledge base system supporting document processing, semantic search, and intelligent Q\&A with multiple AI model integrations.
    1
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    quality
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    MCP server that integrates Apache Ranger authorization with RAG, enforcing Ranger policies to control access to knowledge bases before forwarding queries to RAG Studio.
    4
    Apache 2.0
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    Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.
    4
  • A
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    quality
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    Provides governed retrieval over MCP with hybrid search, strict confidence gating, and access control, exposing three read-only tools.
    3
    Apache 2.0
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    Enables semantic search and question answering over a knowledge base using hybrid retrieval and grounded answers, all running offline with no API keys.
    4
    MIT
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    A local RAG MCP server that indexes project documentation and code into ChromaDB for semantic search, supporting multiple tech stacks and deployment modes.
    20
    1
    Apache 2.0
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    Enables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.
    4
    AGPL 3.0
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    A Model Context Protocol (MCP) server that provides a local-first RAG engine for your markdown documents. It uses a file-based Milvus vector database to index your notes, enabling LLMs to perform semantic search and retrieve relevant content from your local files.
    3
    55
    Apache 2.0
  • F
    license
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    quality
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    maintenance
    A local-first document retrieval engine that mounts as an MCP tool for agents to index files, search for relevant passages, and let the agent's own LLM answer.
    4