Overview
This book provides a deep dive into the foundations of RAG, covering transformer architectures, vector similarity search, and the integration of retrieval techniques into generative models. Readers will learn to implement RAG using open-source
tools, explore real-world applications in chatbots, legal and medical document retrieval, and AI-assisted research, and address challenges like bias and misinformation.
The book, RAG Artificial Intelligence: Retrieval-Augmented Generation in Generative AI (De Gruyter Textbook) [Bulk, Wholesale, Quantity] ISBN#9783112226773 in Paperback by Saloni Garg, Amit Sagtani, Kamal Kant Hiran may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details