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.
Denis2054/RAG-Driven-Generative-AI
View on GitHub ↗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.
RAG-Driven-Generative-AI grew +0.3% in the last 30 days, ranks 63rd of 280 in Tool-Specific Tutorials, last commit 395 days ago.
Star trajectory
114 days tracked+0.3% in 30d, below the Tool-Specific Tutorials median of +1.1%.
Last commit 395 days ago, staler than the median of 95.5d.
How it compares in Tool-Specific Tutorials
Ranked 63rd of 280 by stars.
- Language
- Jupyter Notebook
- License
- MIT License
- Contributors
- 2
- Forks
- 224
- Watchers
- 9
- Open issues
- 0
- Releases
- 0
- Created
- 2024-04-19
- Stars this week
- +2
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