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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Retrieval Augmented Generation, the Foundational Ideas: Principles for Architecting Reliable and Verifiable AI

Retrieval Augmented Generation, the Foundational Ideas: Principles for Architecting Reliable and Verifiable AI

Auffarth, Ben

Paperback

General Computers

PREORDER - Expected ship date October 27, 2026

ISBN10: 1633434435
ISBN13: 9781633434431
Publisher: Manning Publications
Published: Oct 27 2026
Pages: 325
Weight: 0.85
Language: English
Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Retrieval Augmented Generation (RAG) is a standard process for grounding LLM prompts in user-specified content rather than relying only on a model's training data. RAG has grown from a simple prompt engineering workflow into a sophisticated set of data analysis, storage, and retrieval techniques. This book explores 12 foundational research papers that explain why RAG works, how it's built, and what makes it different from other approaches.

This authoritative book explores the papers that define RAG's enduring architectural pattern. Author Ben Auffarth traces RAG's evolution from the foundational breakthroughs of REALM, RAG, and DPR to advanced architectures like FiD and Atlas. Designed to be both interesting and practical, this book illuminates techniques that empower systems to retrieve intelligently, evaluate themselves, and recover from errors. Over 40 code samples, architectural diagrams, and industry case studies make each concept easy to understand. As you master the patterns behind RAG, you'll better understand tradeoffs, diagnose failures, and effectively evaluate and improve your own RAG implementations.

What's inside

- 12 seminal papers explained with practical code

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