RAG Artificial Intelligence

Retrieval-Augmented Generation in Generative AI

By: Amit Sagtani, Saloni Garg, Kamal Kant Hiran

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Paperback | 3 August 2026

At a Glance

Paperback
598 Pages

Dimensions(cm)
24.0 x 17.0 x 3.07

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$128.75

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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.

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