Provides a powerful Retrieval-Augmented Generation (RAG) server with dynamic support for various embedding providers via the Model Context Protocol (MCP).
RAG Fusion offers a robust and flexible server solution for Retrieval-Augmented Generation (RAG) applications. It uniquely supports dynamic switching between different embedding providers, such as OpenAI and DashScope/Qwen, at runtime without requiring code modifications. This capability allows for multi-index support, enabling different document collections to utilize distinct embedding models. The server is designed for production readiness, featuring robust error handling with automatic fallbacks, web search integration, environment-based configuration, rate limiting, and monitoring capabilities.