RI
huangjia2019/rag-in-action
End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中，我们深入进去探究。
684 281 +2/wk
GitHub
agent ai llm rag
Trend
3
Star & Fork Trend (38 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
huangjia2019/rag-in-action has +2 stars this period . 7-day velocity: 0.4%.
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| Metric | rag-in-action | reverse-engineering-assistant | swiftide | memoripy |
|---|---|---|---|---|
| Stars | 684 | 684 | 686 | 686 |
| Forks | 281 | 59 | 58 | 59 |
| Weekly Growth | +2 | +6 | -1 | +1 |
| Language | Jupyter Notebook | Java | Rust | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs reverse-engineering-assistant
rag-in-action
reverse-engineering-assistant
Maintenance Activity 0
Last code push 266 days ago.
Community Engagement 22
Fork-to-star ratio: 41.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 58
+2 stars this period — 0.29% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.