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"Chat with RAG (Retrieval-Augmented Generation)" matching MCP servers:

  • Retrieval-Augmented Thinking

    stat-guy
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    quality
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    maintenance
    Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.
    Last updated
    24
    MIT

  • rag-retrieval-mcp

    MaryamZi
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    quality
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    maintenance
    Enables retrieval-augmented generation by embedding queries with a chosen provider (e.g., OpenAI) and searching supported vector stores (Pinecone, pgvector) to return relevant content.
    Last updated
    1
    Apache 2.0

  • MCP RAG with ChromaDB

    CyprianFusi
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    Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.
    Last updated
    1
    MIT

  • retrieval-lens

    Vbj1808
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    license
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    quality
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    maintenance
    A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.
    Last updated
    4
    23
    2
    MIT

  • RAG-MCP Server

    plaban1981
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    A server that integrates Retrieval-Augmented Generation (RAG) with the Model Control Protocol (MCP) to provide web search capabilities and document analysis for AI assistants.
    Last updated
    4
    Apache 2.0

  • mcp-rag-server

    kwanLeeFrmVi
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    quality
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    An MCP server that indexes documents and serves relevant context to LLMs via Retrieval Augmented Generation (RAG).
    Last updated
    37
    36
    MIT

  • MCP-RAG

    AnuragB7
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    quality
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    maintenance
    An MCP-compatible system that handles large files (up to 200MB) with intelligent chunking and multi-format document support for advanced retrieval-augmented generation.
    Last updated
    10
    MIT

  • RAG-MCP

    alejandro-ao
    F
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    quality
    D
    maintenance
    A Retrieval Augmented Generation MCP server that ingests documents into a local vector database and enables semantic search queries.
    Last updated
    9

  • MCP-RAG Server

    sourangshupal
    F
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    quality
    D
    maintenance
    Implements Retrieval-Augmented Generation (RAG) using GroundX and OpenAI, allowing users to ingest documents and perform semantic searches with advanced context handling through Modern Context Processing (MCP).
    Last updated
    5
  • @git-fabric/chat by git-fabric

    @git-fabric/chatofficial

    git-fabric
    F
    license
    A
    quality
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    maintenance
    An AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.
    Last updated
    12

  • MCP RAG

    kalicyh
    F
    license
    A
    quality
    C
    maintenance
    Intelligent knowledge base system that enables users to process documents in 25+ formats, perform semantic search and Q\&A through vector retrieval. Supports multiple AI models including OpenAI and DouBao with local processing capabilities.
    Last updated
    10
    5