"Notes or documentation related to 'rag'" matching MCP servers:

Enables AI assistants to fetch, index, and perform semantic RAG-based searches on API documentation from various sources. It provides tools for hybrid search and collection management, allowing users to access up-to-date documentation from projects like Gemini and FastMCP.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables full-text search and paginated retrieval of indexed documentation (PDFs, Markdown, text) through MCP tools, with filtering by category and file.

Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.

MCP bridge to a multimodal RAG service, enabling hybrid search and Q&A over documents with tools for knowledge base queries and health checks.

Enables AI assistants to search and read Azure documentation using full-text search and section filtering, with content retrieval from Microsoft's official Azure docs repository.

Enables AI assistants to search and retrieve content from local Markdown notes using term-frequency scoring.

A server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.

Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.

Personal knowledge management server with note CRUD, semantic search, git versioning, wiki linking, tags, glossary, and fact graph capabilities.

A RAG-based knowledge base system supporting document processing, semantic search, and intelligent Q\&A with multiple AI model integrations.

A Model Context Protocol server that enables intelligent searching across documentation for 30+ programming libraries and frameworks, fetching relevant information from official sources.

Enables coding agents to retrieve relevant sections from a repository's declared documentation scope using hybrid vector and full-text search, with incremental indexing.

Local-first document management and semantic search for AI coding agents, with a built-in web dashboard and REST API.

Enables LLMs to perform conceptual search over local PDF/EPUB documents using a RAG pipeline with corpus-driven concept extraction and WordNet enrichment.

A modular RAG server with hybrid search and LLM rerank, exposing 3 MCP tools for AI clients like Claude Desktop and Cursor.

A personal knowledge management MCP server that enables capturing daily notes, meeting summaries, and ideas through Claude, with full-text search, git sync, and git activity tracking across projects.

Enables querying, searching, and organizing Readmoo ebook highlights and notes from exported CSV files using natural language through Claude or other MCP-compatible tools.

Enables AI editors to search past Zenn articles and book chapters, get article contents, list topics, receive related-link suggestions, and sync the vector index directly through MCP tools.

A local note-taking server that provides intelligent management of markdown files through hybrid keyword and AI-powered semantic search. It enables users to create, find, and retrieve notes using advanced indexing, vector embeddings, and a built-in web viewer.

Enables semantic search over local Markdown documentation using hybrid retrieval combining embeddings, keyword search, and graph traversal with automatic file watching and zero-configuration setup.

Enables AI assistants to search and read locally stored e-reader highlights, notes, bookmarks, and book lists from a synced database. Provides tools for full-text search, per-book notes, recent items, random highlights, and sync status.

Enables local language models and MCP clients to search a private, offline knowledge base of papers, notes, and source code through hybrid vector/BM25 retrieval, reranking, and citations.

Local MCP server that provides a search_documents tool to query a RAG pipeline built with Ollama embeddings and ChromaDB, enabling Claude Desktop to retrieve relevant document chunks.

Enables AI assistants like Claude to search and reference your Apple Notes using semantic search and RAG capabilities, with fully local execution and no API keys required.

Hybrid RAG over Claude Code and Hermes session history via MCP tools for search, ingest, and context injection.

MCP server that enables semantic search over PDF documents using RAG with ChromaDB and OpenAI embeddings.

A CLI tool and MCP server that turns markdown documentation into a searchable, queryable knowledge base.

Enables AI agents to search and query documentation from git repositories using hybrid search and structured metadata queries.

Enables searching a knowledge base and asking grounded questions with hybrid retrieval, reranking, and cited answers.