UltraRAG is the first lightweight RAG development framework designed with Model Context Protocol (MCP) architecture, built specifically for scientific research exploration and industrial prototype design.
It standardizes core RAG components (such as Retriever, Generation, etc.) as independent MCP Servers, enabling flexible extension through function-level Tool interfaces. Combined with the MCP Client's workflow orchestration capabilities, developers can precisely orchestrate complex control structures (such as conditionals, loops) through YAML configuration. Additionally, the system supports seamless migration of algorithm logic to conversational demonstration interfaces, greatly optimizing the full development chain efficiency of complex RAG systems.
UltraRAG consists of four key components:
The system supports seamless migration of algorithm logic to conversational demonstration interfaces, greatly optimizing the full development chain efficiency of complex RAG systems.
RAG systems are undergoing a paradigm evolution from static chain concatenation to autonomous reasoning, increasingly relying on active model reasoning, dynamic retrieval, and conditional decision-making. However, traditional frameworks often face bottlenecks of insufficient flexibility and deep module coupling.
UltraRAG aims to provide developers with a standardized, decoupled, and minimalist new development paradigm:
Natively supports serial, loop, and conditional branch control structures. Developers only need to write YAML configuration files to implement complex iterative RAG logic in just dozens of lines of code.
Based on MCP architecture, functions are decoupled into independent Servers. New features only need to be registered as function-level Tools to seamlessly integrate into workflows, achieving extremely high reusability.
Built-in standardized evaluation process with ready-to-use mainstream research Benchmarks. Through unified metric management and baseline integration, greatly improving experimental reproducibility and comparison efficiency.
Say goodbye to tedious UI development. With just one command, Pipeline logic can be instantly transformed into an interactive conversational Web UI, shortening the distance from algorithm to demonstration.