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| Management number | 232000925 | Release Date | 2026/06/18 | List Price | US$12.41 | Model Number | 232000925 | ||
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Unlock Reliable, Knowledge-Driven AI with Retrieval-Augmented GenerationLarge Language Models are powerful—but on their own, they struggle with hallucinations, outdated information, and limited context. Retrieval-Augmented Generation shows you how to move beyond these limitations and build AI systems that are accurate, explainable, and production-ready.Written in a clear, practical, and professional style, this book delivers a complete, end-to-end guide to mastering Retrieval-Augmented Generation for real-world applications. Whether you are building internal knowledge assistants, enterprise search platforms, or customer-facing AI systems, this book equips you with the frameworks, patterns, and best practices that actually work.Inside this book, you will learn how to:Understand why standalone language models fail—and how Retrieval-Augmented Generation solves the problemDesign high-quality data pipelines, chunking strategies, and metadata for reliable retrievalChoose and evaluate embeddings, vector databases, and indexing strategiesImplement effective retrieval techniques, re-ranking, and query handlingEngineer prompts that ground responses in retrieved knowledge and reduce hallucinationsBuild complete Retrieval-Augmented Generation pipelines from concept to productionOptimize for performance, latency, cost, and scalabilityEvaluate retrieval and generation quality with practical metrics and human feedbackDeploy secure, enterprise-grade systems with governance, monitoring, and compliance in mindThis book goes beyond theory. Each chapter focuses on practical decision-making, common pitfalls, and real-world trade-offs—so you can confidently design systems that scale and earn user trust.If you are a developer, machine learning engineer, data scientist, architect, or technical leader looking to build reliable AI systems that actually deliver value, Retrieval-Augmented Generation is your definitive guide.Start building AI systems that know what they’re talking about—get your copy today. Read more
| ASIN | B0G6YVWML2 |
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| ISBN13 | 979-8278741046 |
| Language | English |
| Publisher | Independently published |
| Dimensions | 6 x 0.38 x 9 inches |
| Item Weight | 10.9 ounces |
| Reading age | 14 - 18 years |
| Print length | 166 pages |
| Publication date | December 14, 2025 |
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