Hands-On RAG For Production: Engineering Production-Grade Retrieval-Augmented Generation Systems at Scale

Name: Hands-On RAG For Production: Engineering Production-Grade Retrieval-Augmented Generation Systems at Scale
Brand: Independently Published
SKU: 9798195639631
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ISBN13: 9798195639631
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: May 5, 2026
Pages: 478
Original Price: USD 25.0
Language: English
Edition: N/A
Item Weight: 635 grams
BISAC Subject(s): Artificial Intelligence / Generative AI

About The Book

Hands-On RAG For Production: Engineering Production-Grade Retrieval-Augmented Generation Systems at Scale

In today's AI-driven world, building Retrieval-Augmented Generation (RAG) systems is no longer optional-it's essential. RAG Advanced is a comprehensive, engineering-focused guide that takes you far beyond theory, delivering a complete blueprint for designing, deploying, and scaling production-grade RAG systems.

This book is crafted for AI engineers, data scientists, and architects who want to move from experimentation to enterprise-ready intelligence systems.

What You'll Master

Part I: Generation, Prompting, and Grounding
Lay the foundation with advanced prompt engineering techniques, context injection strategies, and instruction hierarchies. Learn how to systematically eliminate hallucinations through grounding, citation enforcement, and uncertainty calibration. Dive into structured outputs, tool calling, and real-world enterprise assistant design.

Part II: Evaluation and Observability
Understand how to measure what matters. Build golden datasets, automate retrieval testing, and evaluate generation quality at scale. Gain deep insights into observability with logging, tracing, and root cause analysis-essential for debugging production failures.

Part III: Production-Grade RAG Systems
Move into real-world deployment with microservices architecture, cloud-native design, and Kubernetes-based scaling. Learn latency optimization, caching strategies, and cost engineering. Secure your systems with OAuth2, JWT, PII detection, and defenses against prompt injection attacks.

Part IV: Advanced and Emerging RAG Patterns
Explore the frontier of AI systems:

Agentic RAG Systems with planning, memory, and multi-agent collaboration
Multimodal RAG integrating text, images, and structured data
Industrial use cases across healthcare, legal, and finance
Domain-specific architectures tailored for regulatory and scientific environments

Build cutting-edge systems like:

Self-learning agents with evolving memory
LangGraph-style multi-agent workflow engines
Multimodal financial forecasting agents
Real-time trading RAG systems with streaming, forecasting, and execution

Why This Book Stands Out

End-to-end system design (not just concepts)
Production-grade architectures and pipelines
Real-world case studies across industries
Performance, cost, and security deeply covered
Advanced topics rarely documented elsewhere

Who This Book Is For

AI Engineers building production systems
Data Scientists scaling LLM applications
Architects designing enterprise AI platforms
Researchers exploring next-gen RAG systems

Build What Others Only Talk About

By the end of this book, you won't just understand RAG-you'll be able to:

Design secure, scalable, and efficient AI systems
Deploy enterprise-grade RAG pipelines
Build autonomous, multimodal, domain-aware agents

This is not just a book-it's a complete engineering playbook for the future of AI systems.

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