RETRIEVAL AUGMENTED GENERATION: Mastering Retrieval-Augmented Generation for Reliable AI Systems

★★★★★ 4.6 143 reviews

US$12.41
Price when purchased online
Free shipping Free 30-day returns

Sold and shipped by rntl.nz
We aim to show you accurate product information. Manufacturers, suppliers and others provide what you see here.
US$12.41
Price when purchased online
Free shipping Free 30-day returns

How do you want your item?
You get 30 days free! Choose a plan at checkout.
Shipping
Arrives Jun 28
Free
Pickup
Check nearby
Delivery
Not available

Sold and shipped by rntl.nz
Free 30-day returns Details

Product details

Management number 232000925 Release Date 2026/06/18 List Price US$12.41 Model Number 232000925
Category

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Retrieval-Augmented GenerationLarge Language Models are powerful—but on their own, they struggle with hallucinations, outdated information, and limited context.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
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

Correction of product information

If you notice any omissions or errors in the product information on this page, please use the correction request form below.

Correction Request Form

Customer ratings & reviews

4.6 out of 5
★★★★★
143 ratings | 59 reviews
How item rating is calculated
View all reviews
5 stars
84% (120)
4 stars
3% (4)
3 stars
2% (3)
2 stars
1% (1)
1 star
10% (14)
Sort by

There are currently no written reviews for this product.