RAG-Driven Generative AI
eBook Details: Paperback: 334 pages Publisher: WOW! eBook (September 30, 2024) Language: English ISBN-10: 1836200919 ISBN-13: 978-1836200918 eBook Description: RAG-Driven Generative AI: Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone. Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback. RAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs. This book offers a detailed exploration of RAG and how to design, manage, and control multimodal AI pipelines. By connecting outputs to traceable source documents, RAG improves...