# Document indexing

mcp - rag - server is a Retrieval Augmented Generation (RAG) server based on the Model Context Protocol (MCP). It provides relevant context for connected LLMs by indexing project documents. It uses ChromaDB and Ollama for local storage and embedding generation, supports multiple file formats, and can be quickly deployed using Docker.

RagRabbit is a self - hosted AI site search and LLM.txt generation tool that supports one - click deployment on Vercel.

This project is a Firebase documentation indexing and retrieval system, including a document indexer written in Go, a server based on the Model Context Protocol, and a Genkit client implementation for testing.

The MCP RAG Server is a retrieval-augmented generation service based on the Model Context Protocol. It automatically indexes project documents through local tools (ChromaDB and Ollama) and provides context enhancement capabilities for connected LLMs.