Rust Local RAG

This MCP server provides local document search and retrieval capabilities using Rust for high-performance PDF processing and semantic search. Built by Mehmet Koray Sariteke, it integrates with Ollama's nomic-embed-text model for generating embeddings and uses poppler's pdftotext for text extraction, automatically indexing PDF documents from a specified directory and storing embeddings locally for fast retrieval. The implementation offers tools for semantic document search with configurable result limits, document listing, and system statistics, making it valuable for AI assistants that need to search through local document collections, research papers, or knowledge bases without relying on external services.