Denis2054/RAG-Driven-Generative-AI

This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.

621
Stars
215
Forks
40.5
Radar Score
Stable
Momentum

Scoring Breakdown

Impact63.9
Velocity24.6
Health25.5

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 60% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
60%
Mixed Signals
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
40.5
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Issue engagement: 0 open issues for 621 stars (0.0%).
  • Maintenance cadence: Last push 414 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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