RAGMCP

A Model Context Protocol (MCP) server enabling Retrieval-Augmented Generation with document ingestion, semantic search, local LLM integration via Ollama, and compatibility with RISC Zero's Bonsai documentation for advanced query processing.

Model Context Protocol server offering retrieval-augmented generation with semantic document search, management, and vector similarity using Qdrant and Ollama or OpenAI embeddings.

Provides advanced web crawling, content vectorization, and retrieval-augmented generation (RAG) capabilities for AI agents and coding assistants using the Model Context Protocol, enabling efficient multi-source data indexing, semantic search, and configurable embedding models.

Advanced Model Context Protocol server enabling efficient retrieval-augmented generation with high-accuracy document ingestion, semantic search, and seamless integration of GroundX and OpenAI for robust context handling and flexible configuration.

Advanced Model Context Protocol server enabling efficient retrieval-augmented generation with semantic search, PDF document ingestion, and seamless integration of GroundX and OpenAI for high-accuracy context processing.