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...