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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.
596 202 +1/wk
GitHub
advanced-rag chroma chromadb embedding-models fine-tuning gpt-4o-mini gpt4-omni grok huggingface indexing-querying llama llama-index
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Star & Fork Trend (49 data points)
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Denis2054/RAG-Driven-Generative-AI has +1 stars this period . 7-day velocity: 0.2%.
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| Metric | RAG-Driven-Generative-AI | pytorch_bert_bilstm_crf_ner | nlp-paper | sentiment_analysis_fine_grain |
|---|---|---|---|---|
| Stars | 596 | 595 | 595 | 592 |
| Forks | 202 | 84 | 122 | 164 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | N/A | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | N/A | N/A |
Capability Radar vs pytorch_bert_bilstm_crf_ner
RAG-Driven-Generative-AI
pytorch_bert_bilstm_crf_ner
Maintenance Activity 0
Last code push 197 days ago.
Community Engagement 100
Fork-to-star ratio: 33.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 50
+1 stars this period — 0.17% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.