BaranziniLab/KG_RAG

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

944
Stars
113
Forks
44.8
Radar Score
Stable
Momentum

Scoring Breakdown

Impact66.6
Velocity26.9
Health35.0

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook

Why it ranks

Modest but positive momentum.

RAG · rag frameworkTop 51% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
72%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
44.8
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Maintenance cadence: Last push 733 days ago.
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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