Jupyter Notebook · MIT
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.
★ 631
Stars
224 forks · 0 open issues
+2.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
25.2
Momentum / 100
see the breakdown below
2y ago
Created
last push 13mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 2.1 | +2.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 15.0 | last week ran 3.71× the monthly pace |
| Freshness | 15 | 0.0 | last push 13mo ago; decays to zero at 180 days |
| Scale | 15 | 8.1 | 631 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 25.2 | sum of the above |
Detail
| Topics | advanced-ragchromachromadbembedding-modelsfine-tuninggpt-4o-minigpt4-omnigrokhuggingfaceindexing-queryingllamallama-indexmultimodalopenai-apipineconeragscalingvision-transformerxai-grok |
| Matched on | LLM & Inference (fine-tuning) |
| Short window | +2 stars over 7 days = 0.3/day |
| Long window | +2 stars over 26 days = 0.1/day |
| Lifetime average | 0.68 stars/day over 930 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |