What it does
UltraRAG helps researchers and developers build RAG systems, where an AI looks up information in a collection of documents before answering. It was made by university labs including Tsinghua University's NLP group.
Each part of the system, such as searching and writing the answer, is a separate building block connected through MCP, a standard way for AI tools to work together. Complex step-by-step logic is described in short settings files instead of long code.
It includes a visual editor for building and debugging these pipelines, built-in testing against standard benchmarks, and a one-command way to turn a pipeline into a chat web page.
Who it's for
AI researchers and developers building or comparing document question-answering systems.
Can I use it without coding?
Developers only. It needs a Python setup or Docker, plus some configuration writing. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- API key
- Not needed
Try it
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (Apache-2.0): Permissive: free to use, change and share, including for business.
- More on staying safe