RAG Artificial Intelligence

Retrieval-Augmented Generation in Generative AI

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. 

août 2026, 596 pages, De Gruyter Textbook, Anglais
De Gruyter
978-3-11-222677-3

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