OpenBMB/UltraRAG
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #512 of 2,845 repositories GStars tracks this week (top 18%).
1 release in the last 90 days, the latest 27 days ago, with 21 contributors on GitHub.
Peaked at #3 in the weekly ranking the week of Jan 18, its best in the past year.
Use Cases & Benefits
- Provides a low-code framework to build complex retrieval-augmented generation (RAG) pipelines using modular MCP architecture and YAML-based orchestration.
- Enables rapid development and deployment of intricate RAG workflows with minimal coding by leveraging independent MCP servers and visual pipeline building.
- Use for researchers to conduct reproducible RAG experiments with built-in evaluation, benchmark datasets, and detailed workflow analysis tools.
- Use for developers to quickly prototype and deploy interactive conversational AI systems with one-click conversion from pipeline logic to web UI.
- Use for industrial teams to integrate multimodal knowledge bases and large language models into scalable, customizable RAG applications with modular extensions.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Less Code, Lower Barrier, Faster Deployment
UltraRAG is the first lightweight RAG development framework based on the Model Context Protocol (MCP) architecture design, jointly launched by THUNLP at Tsinghua University, NEUIR at Northeastern University, OpenBMB, and AI9stars.
Designed for research exploration and industrial prototyping, UltraRAG standardizes core RAG components (Retriever, Generation, etc.) as independent MCP Servers, combined with the powerful workflow orchestration capabilities of the MCP Client. Developers can achieve precise orchestration of complex control structures such as conditional branches and loops simply through YAML configuration.
UltraRAG UI transcends the boundaries of traditional chat interfaces, evolving into a visual RAG Integrated Development Environment (IDE) that combines orchestration, debugging, and demonstration.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
451+17
Open issues
17-8
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| NationalSecurityAgency/ghidra | 93.2K | +7.5K | 75 | today |
| DuarteSantos8/openGym | 14.9K | +4.4K | 59 | 12 days ago |
| K-Dense-AI/scientific-agent-skills | 53.9K | +3.2K | 75 | 21 days ago |
| 666ghj/MiroFish | 80.7K | +2.4K | 23 | 226 days ago |
| anthropics/claude-plugins-official | 43.9K | +2.3K | 35 | — |
| OpenBMB/UltraRAG | 5.7K | +0 | 75 | 27 days ago |
| Category median | 53.9K | +3.2K | 59 | — |
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