infiniflow/ragflow
Saturatedrank #23RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Composite
76
conf 65%
Momentum
71
conf 60%
Vitality (PVI)
78
conf 67%
Community
73
conf 60%
Security & maint.
88
conf 85%
Ecosystem influence
75
conf 60%
Opportunity
69
conf 60%
Breakout · 7d
50%
conf 71%
Executive summary
ragflow is currently classified as saturated with a composite score of 76/100. Momentum (71) and vitality (78) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 1,929 stars against a 92.1k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 50%.
Analyst note
AI-drafted · numbers from tracked dataThe momentum-vs-vitality relationship suggests that a project with high vitality (78/100) and steady momentum (71/100) is likely to continue growing in popularity. However, the significant drop in vitality from 92 to 78 may indicate a temporary slowdown or even a decline if not addressed. In this context, adopting the repository now might be beneficial for someone looking to capitalize on its current success, but it's essential to consider whether the project is still viable and sustainable in the long term.
Video breakdown
@gptaiclips on YouTube90-day trajectory
+8.4k · 30dScore breakdown
Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.
Momentum
Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%
Project Vitality Index
Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%
Security & maintenance
Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%
Ecosystem influence
Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption


