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hymie122/RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
1.8k 123 +0/wk
GitHub
aigc diffusion-models llm multimodality rag survey
Trend
3
Star & Fork Trend (29 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
hymie122/RAG-Survey has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | RAG-Survey | AIaW | yt-fts | agibot_x1_infer |
|---|---|---|---|---|
| Stars | 1.8k | 1.8k | 1.8k | 1.8k |
| Forks | 123 | 161 | 95 | 541 |
| Weekly Growth | +0 | +1 | -1 | +0 |
| Language | N/A | TypeScript | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | BSD-3-Clause | Unlicense | NOASSERTION |
Capability Radar vs AIaW
RAG-Survey
AIaW
Maintenance Activity 0
Last code push 596 days ago.
Community Engagement 34
Fork-to-star ratio: 6.9%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.