RAG-Enhanced Chat Application

The MCP enables users to interact via a chat interface that retrieves relevant information from local documents using embedding and vector storage techniques. It incorporates Retrieval-Augmented Generation (RAG) to combine local document knowledge with Ollama's phi4 model for accurate, context-aware responses. Designed for knowledge workers, developers, and organizations seeking a robust information retrieval and conversational AI solution, it supports document processing, real-time context retrieval, and seamless integration with AI models to enhance user experience and information accuracy.