RETRIEVAL-AUGMENTED GENERATION PRODUCTION PATTERNS

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RETRIEVAL-AUGMENTED GENERATION: PRODUCTION PATTERNS : Building Reliable, Scalable, and Trustworthy AI Systems in the Real World by Mohan Rayithi
English | February 19, 2026 | ISBN: N/A | ASIN: B0GP77M9J3 | 360 pages | EPUB | 0.86 Mb
Retrieval-Augmented Generation (RAG) works in demos.​

But production breaks everything.
This book is the definitive, real-world guide to building RAG systems that actually survive production.
Retrieval-Augmented Generation: Production Patterns goes far beyond prompts and vector databases. It shows how modern RAG systems fail, drift, leak data, lose trust, and collapse under scale-and how to design them to endure.
You'll learn how toesign enterprise-grade RAG architecturesPrevent hallucinations, data leakage, and silent failuresMeasure retrieval quality, faithfulness, and trustApply RAG in healthcare, finance, compliance, and developer platformsBuild agentic, graph-based, and reasoning-aware RAG systemsGovern knowledge, audits, access control, and ethicsEvolve RAG into a living, self-improving knowledge systemThis is not a tutorial.
This is a production playbook.
If you are building AI systems that people must trust-this book is your blueprint.

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