mcpRAG MCP Server

What is mcpRAG?

mcpRAG is a Retrieval-Augmented Generation (RAG) server that processes text documents using open‑source embeddings from Ollama (nomic), a FAISS vector database, and the Gemini 2.0‑flash LLM. It is designed for users who want a local RAG pipeline with a cloud‑based LLM.

How to use mcpRAG?

The README does not provide installation, configuration, or invocation instructions. No commands or config keys are mentioned.

Key features of mcpRAG

• Uses nomic embeddings via Ollama locally.
• Uses Gemini 2.0‑flash as the LLM.
• Stores chunks as JSON with file name, chunk ID, and text.
• Indexes embeddings with FAISS and stores locally.
• Supports appending additional text to the existing index.

Use cases of mcpRAG

• Answer questions from a collection of local text documents.
• Incrementally expand a knowledge base by adding new documents.
• Run a RAG pipeline with a fully open‑source embedding and vector store.