MASTERING RAG WITH AI: A Complete Guide to Retrieval-Augmented Generation Systems, LLM Workflows, and Next-Gen AI Applications

★★★★★ 5.0 105 reviews

US$2.06
Price when purchased online
Free shipping Free 30-day returns

Sold and shipped by rc-party.de
We aim to show you accurate product information. Manufacturers, suppliers and others provide what you see here.
US$2.06
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 Jul 3
Free
Pickup
Check nearby
Delivery
Not available

Sold and shipped by rc-party.de
Free 30-day returns Details

Product details

Management number 231978125 Release Date 2026/06/18 List Price US$2.06 Model Number 231978125
Category

MASTERING RAG WITH AI: A Complete Guide to Retrieval-Augmented Generation Systems, LLM Workflows, and Next-Gen AI ApplicationsUnlock the full power of modern AI with Retrieval-Augmented Generation (RAG)—the breakthrough framework behind today’s smartest and most reliable AI systems.Whether you’re a beginner, intermediate developer, or advanced AI practitioner, this comprehensive guide shows you exactly how to design, build, deploy, secure, and scale high-performance RAG solutions using real-world tools and next-generation techniques.This book is crafted to be thorough, practical, and future-ready, giving you everything you need to master the intersection of LLMs, retrieval pipelines, vector databases, autonomous agents, and hybrid AI systems.What You Will LearnInside this book, you will discover:🔹 The Foundations of RAGHow Retrieval-Augmented Generation worksKey components: retrieval pipelines, embeddings, chunking, vector search, scoring, rankingWhen to use RAG vs fine-tuning vs hybrid systems🔹 Building Modern RAG PipelinesStep-by-step workflows for text, PDFs, databases, APIs, images, and enterprise sourcesPrompt engineering, context windows, reranking, and multi-stage retrievalBest practices for accuracy, latency, and reliability🔹 Advanced AI TechniquesRAG 2.0, multimodal RAG, tool-augmented LLMs, and autonomous retrieval agentsCombining LLM reasoning with external knowledge and APIsHallucination prevention and risk management strategies🔹 Deployment & Production SystemsCloud deployment with AWS, GCP, and AzureCI/CD pipelines, monitoring, logging, scaling, and API integrationSecurity, safety, compliance, and data governance🔹 Real-World Applications & Case StudiesCustomer support AISearch-enhanced chatbotsEnterprise knowledge assistantsResearch & productivity toolsIndustry best practices from leading AI companiesWho This Book Is ForThis guide is perfect for:AI beginners who want a clear, friendly introductionDevelopers & programmers building intelligent applicationsData scientists & ML engineers designing retrieval pipelinesTech founders & product builders exploring high-value AI solutionsStudents & researchers studying LLMs, NLP, and information retrievalProfessionals seeking to upgrade their AI knowledge for the future of workIf you want to create smarter, more factual, more scalable AI systems, this book will accelerate your journey.What Makes This Book UniqueA complete end-to-end framework—from fundamentals to real-world deploymentSEO-optimized, clean structure, and KDP-ready formattingOnly text-based diagrams, flowcharts, and tables (perfect for Kindle)Step-by-step guides and practical examplesHigh-value templates including:Prompt templatesCode samplesOptimization checklistsBest practice workflowsFuture-proof content covering RAG 2.0, agentic systems, and next-gen AIYour Complete Handbook for the Future of AIMASTERING RAG WITH AI is more than a technical manual—it’s a blueprint for building AI systems that are accurate, scalable, trustworthy, and production-ready.If you're ready to level up your AI skills and build systems that truly perform, this is the book you’ve been waiting for. Read more

ASIN B0G5X451L9
XRay Not Enabled
Language English
File size 10.1 MB
Page Flip Enabled
Word Wise Not Enabled
Print length 291 pages
Accessibility Learn more
Screen Reader Supported
Publication date December 9, 2025
Enhanced typesetting Enabled

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

5 out of 5
★★★★★
105 ratings | 43 reviews
How item rating is calculated
View all reviews
5 stars
90% (95)
4 stars
0% (0)
3 stars
0% (0)
2 stars
0% (0)
1 star
10% (11)
Sort by

There are currently no written reviews for this product.