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.

Date Created 2024-04-19 (about a year ago)

Commits 529 (last one about a month ago)

Stargazers 416 (5 this week)

Watchers 10 (0 this week)

Forks 118

License mit

Ranking

RepositoryStats indexes 641,731 repositories, of these Denis2054/RAG-Driven-Generative-AI is ranked #110,017 (83rd percentile) for total stargazers, and #201,937 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,432/19,418.

Denis2054/RAG-Driven-Generative-AI is also tagged with popular topics, for these it's ranked: rag (#238/740), llama (#221/609), openai-api (#89/548), huggingface (#98/422), multimodal (#115/391), fine-tuning (#64/227)

All Topics

rag grok llama chroma scaling chromadb pinecone xai-grok gpt4-omni multimodal openai-api fine-tuning gpt-4o-mini huggingface llama-index advanced-rag embedding-models indexing-querying vision-transformer

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Recent Commit History

529 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2025-04-21 @ 10:27pm, id: 789098173 / R_kgDOLwiuvQ