NirDiamant/RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

30.3k
Stars
3.7k
Forks
70.4
Radar Score
Rising
Momentum

Scoring Breakdown

Impact96.8
Velocity53.2
Health52.2

Growth Metrics

7-Day Stars
+102
30-Day Stars
+432
Acceleration
0.88x
Language
Jupyter Notebook

Why it ranks

Strong momentum — adoption is accelerating week over week.

RAG · rag frameworkTop 82% globallyLast push 9d ago+102 stars / 7d+432 stars / 30d

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🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
75%
Moderate Confidence
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
70.4
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Issue engagement: 2 open issues for 30,317 stars (0.0%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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