Rag Artificial Intelligence: Retrieval-Augmented Generation in Generative AI

By Amit Sagtani, Saloni Garg, Kamal Kant Hiran

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.

• Format: Paperback
• Language: English
• ISBN: 3112226771
• ISBN13: 9783112226773
• Release Date: July 2026
• Publisher: de Gruyter
• Length: 596 Pages