RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
NirDiamant/RAG_Techniques
View on GitHub ↗This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
RAG_Techniques grew +1.3% in the last 30 days, ranks 44th of 1,530 in Memory & Knowledge (RAG), actively maintained, last commit today.
Star trajectory
123 days tracked2026-06-2130k stars today2026-10-23
Momentum
+1.3% in 30d, above the Memory & Knowledge (RAG) median of +1.0%.
Maintenance
Last commit today, fresher than the median of 16d.
How it compares in Memory & Knowledge (RAG)
RAG_Techniques
30k
stars
+1.3% 30d
commit today
Memory & Knowledge (RAG) median
381.5
stars
+1.0% 30d
commit ~16d ago
Leader · markitdown
191.7k
stars
+2.8% 30d
commit today
Ranked 44th of 1,530 by stars.
- Language
- Jupyter Notebook
- License
- Other
- Contributors
- 47
- Forks
- 3.7k
- Watchers
- 256
- Open issues
- 2
- Releases
- 1
- Created
- 2024-07-13
- Stars this week
- +90
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