R2
SciPhi-AI/R2R
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
7.8k 628 +0/wk
GitHub
artificial-intelligence large-language-models python question-answering rag retrieval-augmented-generation retrieval-systems search
Trend
3
Star & Fork Trend (37 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SciPhi-AI/R2R has +0 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | R2R | lmdeploy | stanza | deep-searcher |
|---|---|---|---|---|
| Stars | 7.8k | 7.8k | 7.8k | 7.7k |
| Forks | 628 | 680 | 942 | 750 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | NOASSERTION | Apache-2.0 |
Capability Radar vs lmdeploy
R2R
lmdeploy
Maintenance Activity 16
Last code push 153 days ago.
Community Engagement 40
Fork-to-star ratio: 8.1%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.