RAG-Driven Generative AI

RAG-Driven Generative AI

Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone

Building effective RAG systems: scaling pipelines, minimizing hallucinations, indexing, transparency, customization.

About the book

A 338-page roadmap for building LLM, computer vision, and generative AI systems balancing performance and cost. Covers scaling RAG pipelines, minimizing hallucinations, implementing traceable indexing techniques, and customizing systems across domains using LlamaIndex, Deep Lake, and Pinecone.

Summary

Summary coming soon!