Implements a Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) applications, supporting Qdrant and Chroma vector databases.
Vito provides a robust Model Context Protocol (MCP) server implementation designed to enhance Retrieval-Augmented Generation (RAG) applications. Seamlessly integrate with Qdrant or Chroma vector databases to store and retrieve domain knowledge, leveraging Qdrant's FastEmbed for efficient embedding generation. Vito streamlines the process of managing and accessing relevant information, enabling AI models to provide more informed and context-aware responses. It offers a straightforward setup, comprehensive documentation, and flexibility to adapt to various AI IDE integrations, empowering developers to build advanced knowledge-driven applications.