Hybrid RAG Project

v1.0.0Knowledge & Memorystable

Enables Claude to perform hybrid search across local documents by combining semantic vector retrieval and BM25 keyword matching for optimal context recovery. It supports multiple file formats including PDF, CSV, and Markdown, leveraging local Ollama

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What is Hybrid RAG Project?

Hybrid RAG Project is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables claude to perform hybrid search across local documents by combining semantic vector retrieval and bm25 keyword matching for optimal context recovery. it supports multiple file formats includin...

Enables Claude to perform hybrid search across local documents by combining semantic vector retrieval and BM25 keyword matching for optimal context recovery. It supports multiple file formats including PDF, CSV, and Markdown, leveraging local Ollama

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables Claude to perform hybrid search across local documen

Use Cases

Search local documents with semantic and keyword-based retrieval.
Support PDF, CSV, and Markdown files using local Ollama embeddings.
gwyer

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx hybrid-rag-project-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Hybrid RAG Project

What is Hybrid RAG Project?

Hybrid RAG Project is a Model Context Protocol (MCP) server that enables claude to perform hybrid search across local documents by combining semantic vector retrieval and bm25 keyword matching for optimal context recovery. it supports multiple file formats including pdf, csv, and markdown, leveraging local ollama It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Hybrid RAG Project?

Follow the installation instructions on the Hybrid RAG Project GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Hybrid RAG Project?

Hybrid RAG Project works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Hybrid RAG Project free to use?

Yes, Hybrid RAG Project is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "hybrid-rag-project-mcp-server": { "command": "npx", "args": ["-y", "hybrid-rag-project-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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