RF
IntelLabs/RAG-FiT
Framework for enhancing LLMs for RAG tasks using fine-tuning.
769 62 +0/wk
GitHub
evaluation fine-tuning information-retrieval llm nlp question-answering rag semantic-search
Trend
0
Star & Fork Trend (51 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
IntelLabs/RAG-FiT has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | RAG-FiT | avoid-ai-writing | data-to-paper | AI-Gist |
|---|---|---|---|---|
| Stars | 769 | 770 | 771 | 772 |
| Forks | 62 | 79 | 92 | 76 |
| Weekly Growth | +0 | +60 | -1 | +0 |
| Language | Python | N/A | Python | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | AGPL-3.0 |
Capability Radar vs avoid-ai-writing
RAG-FiT
avoid-ai-writing
Maintenance Activity 39
Last code push 113 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.