Vito
Implements a Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) applications, supporting Qdrant and Chroma vector databases.
소개
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.
주요 기능
- Supports Qdrant and Chroma vector databases
- Supports storing documentation files (PDF, TXT) with metadata
- Enables domain knowledge storage and retrieval
- 0 GitHub stars
- Uses Qdrant's built-in FastEmbed for embedding generation
- Configurable database selection via environment variables
사용 사례
- Enhancing AI IDEs with knowledge server capabilities (Cursor AI, Claude Desktop)
- Building RAG applications with efficient knowledge retrieval
- Integrating domain knowledge into AI models for more accurate responses
