RAG Artificial Intelligence Retrieval Augmented Generation In Generative AI De Gruyter Textbook

RAG Artificial Intelligence Retrieval Augmented Generation In Generative AI De Gruyter Textbook

RAG Artificial Intelligence: Retrieval-Augmented Generation in Generative AI (De Gruyter Textbook)
by Saloni Garg

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ISBN: 978-3112226773 • Publisher: De Gruyter • Year: 2026
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📂 [color=#ff5555]Category: Artificial Intelligence, Computer Programming Languages, Artificial Intelligence & Semantics
🌐 [color=#55acee]Language: English
📄 [color=#44bb44]Pages: 596

Description: 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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📌 RAG Artificial Intelligence Saloni Garg.epub (Saloni Garg) (2026) (8.07 MB)

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