Rust Local RAG
Provides a high-performance, private Retrieval-Augmented Generation (RAG) server for searching PDF documents locally within Claude Desktop using Ollama embeddings.
Rust Local RAG is a powerful, privacy-first Retrieval-Augmented Generation (RAG) system engineered in Rust, designed to seamlessly integrate with Claude Desktop via the Model Context Protocol (MCP). It enables users to privately search and analyze their PDF documents directly within Claude conversations. By processing PDFs locally using poppler for text extraction, generating embeddings with local Ollama models, and utilizing a custom vector store, this system ensures no external API calls are made for document content, providing a secure, high-performance solution for personalized document intelligence.
