OpenBMB/UltraRAG

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

What it solves

UltraRAG is a lightweight development framework designed to lower the barrier for building and deploying Retrieval-Augmented Generation (RAG) systems. It simplifies the process of creating complex RAG workflows—which typically require extensive coding—by providing a low-code orchestration layer and a visual IDE for design and debugging.

How it works

The framework is built on the Model Context Protocol (MCP) architecture. It treats core RAG components, such as retrievers and generators, as independent "MCP Servers." These servers are then orchestrated by an MCP Client using YAML configuration files to define logic flows, including sequential steps, loops, and conditional branches.

Who it’s for

It is primarily aimed at AI researchers conducting experimental RAG exploration and developers building industrial prototypes who need to rapidly iterate on pipeline structures and prompts without writing extensive boilerplate code.

Highlights

  • Low-Code Orchestration: Implements complex iterative RAG logic via YAML configurations rather than manual coding.
  • Visual RAG IDE: Features a Pipeline Builder with bidirectional synchronization between a visual canvas and code editing, plus an AI assistant for design and tuning.
  • Modular Extension: Uses an atomic server design based on MCP, allowing new features to be added as function-level tools.
  • Unified Evaluation: Includes built-in standardized evaluation workflows and mainstream research benchmarks to improve experiment reproducibility.
  • One-Click Deployment: Can instantly convert pipeline logic into an interactive conversational Web UI for demonstration purposes.

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