---
title: "RAG-Driven-Generative-AI"
type: "tool"
slug: "denis2054-rag-driven-generative-ai"
canonical_url: "https://www.graphcanon.com/tools/denis2054-rag-driven-generative-ai"
github_url: "https://github.com/Denis2054/RAG-Driven-Generative-AI"
homepage_url: null
stars: 614
forks: 214
primary_language: "Jupyter Notebook"
license: "MIT"
archived: false
categories: ["vector-databases", "model-training", "llm-frameworks"]
tags: ["grok", "chroma", "embedding-models", "fine-tuning", "gpt4-omni", "chromadb", "advanced-rag", "gpt-4o-mini"]
updated_at: "2026-07-11T11:40:50.958535+00:00"
---

# 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 f

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.

## Facts

- Repository: https://github.com/Denis2054/RAG-Driven-Generative-AI
- Stars: 614 · Forks: 214 · Open issues: 0 · Watchers: 9
- Primary language: Jupyter Notebook
- License: MIT
- Last pushed: 2025-09-23T15:31:25+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Slowing (computed 2026-07-11T11:40:49.350Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:40:49.948Z
- Full report: [trust report](/tools/denis2054-rag-driven-generative-ai/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/denis2054-rag-driven-generative-ai/trust)

## Categories

- [Vector Databases](/categories/vector-databases.md)
- [Model Training](/categories/model-training.md)
- [LLM Frameworks](/categories/llm-frameworks.md)

## Tags

grok, chroma, embedding-models, fine-tuning, gpt4-omni, chromadb, advanced-rag, gpt-4o-mini

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- [transformers](/tools/huggingface-transformers.md) - Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models (★ 162,482) [Very active]

_+ 2 more not listed._

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/denis2054-rag-driven-generative-ai`](/api/graphcanon/tools/denis2054-rag-driven-generative-ai)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_