Denis2054/RAG-Driven-Generative-AI
A code repository for building Retrieval Augmented Generation pipelines using LlamaIndex, Deep Lake, and Pinecone with OpenAI and Hugging Face models.

This repository accompanies a Packt book on RAG-driven generative AI. It provides Jupyter notebook programs demonstrating how to build custom RAG pipelines using LlamaIndex as the orchestration framework, integrating with vector databases like Pinecone and Deep Lake for retrieval. The code leverages OpenAI and Hugging Face models for generation and evaluation across text, multimodal, and vision transformer use cases.