Building Agentic AI in Production: Designing Scalable, Reliable LLM Systems with LangChain and LangGraph is the definitive guide for developers, architects, and AI practitioners ready to move beyond experiments and prototypes into production-grade, intelligent systems. If you've struggled with building LLM applications that are reliable, deterministic, and capable of sophisticated reasoning, this book offers the roadmap you've been searching for. Inside, you will discover how to construct multi-agent workflows that can think, coordinate, and recover from errors, systems that go far beyond single-shot prompts or simple chatbots. You'll gain practical guidance on using LangChain and LangGraph to build structured AI pipelines, including advanced techniques such as retrieval-augmented generation (RAG), hybrid search, re-ranking and fact-checking. Real-world examples illustrate how to integrate these tools for tasks ranging from data analysis and software development to enterprise-level automation, showing you exactly how to implement intelligent agents in meaningful, production-ready ways. This book also addresses the critical operational side of agentic AI: observability, monitoring, testing, security, compliance, and ethical design. You'll learn how to measure latency, evaluate outputs, govern prompts, and scale multi-agent workflows safely. By the end, you will have not just theoretical knowledge but actionable, hands-on blueprints for building systems that are stable, secure, and capable of real-world impact. If you are ready to turn complex AI concepts into practical, deployable solutions and finally overcome the uncertainty and fragility of modern LLM applications, Building Agentic AI in Production is the book that will take you there. Every chapter is designed to equip you with the tools, patterns, and confidence to transform ambitious AI ideas into reliable, scalable, and intelligent systems. Take the next step and learn how to design AI that works, scales, and delivers results, your production-ready agentic AI is waiting within these pages.
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