LangGraph for AI Applications: A Practical Guide to Building Stateful, Multi-Agent AI Systems with LangChain’s LangGraph Functional API - Brossura

Charette, Kenneth

Brossura

ISBN 13: 9798275021141

Casa editrice: Independently published, 2025

Riassunto

This book is your definitive guide to mastering LangGraph — the framework that brings structure, reasoning, and statefulness to AI systems. It shows you, step-by-step, how to design, build, and deploy intelligent agents that can reason, collaborate, and adapt across real-world scenarios. Every chapter combines clear explanations with practical code and professional insights that will help you move from theoretical understanding to production-ready implementation.


Written by an experienced AI systems developer, this book cuts through the noise to focus on how LangGraph really works — from foundational graph concepts to multi-agent orchestration, state management, and deployment. It reflects the most recent developments in LangChain’s ecosystem, ensuring that readers gain the most up-to-date, hands-on understanding of LangGraph’s functional API and its role in building modern agentic systems.

About the Technology:
LangGraph extends LangChain’s capabilities by introducing stateful orchestration, enabling agents to maintain memory, reason about context, and communicate seamlessly. With this functional API, developers can create graphs of Python functions that represent intelligent workflows — giving you full control over flow, logic, and persistence. Combined with LangSmith and other LangChain tools, LangGraph powers the next generation of adaptive, traceable, and compliant AI systems.

What's Inside:

• A complete walkthrough of LangGraph’s functional API for building AI applications
• Step-by-step guides to modeling nodes, state, and control edges
• Real-world examples of sentiment-aware agents, research bots, and summarization systems
• Techniques for managing state persistence, memory stores, and reflection loops
• Integration with external tools, APIs, and vector databases
• Deployment patterns using Docker, LangGraph Cloud, and CI/CD pipelines
• Advanced strategies for scaling, testing, monitoring, and compliance

Who This Book Is For:
This book is for AI developers, software engineers, data scientists, and technical architects who want to go beyond simple prompt-chains and build reliable, explainable, and scalable AI systems. Whether you’re experienced with LangChain or just starting your journey into agentic design, you’ll find actionable techniques that help you create production-grade workflows with confidence.

LangGraph is rapidly becoming the standard for building structured, multi-agent systems. Early adopters are already shaping how agentic architectures evolve — and this book gives you the knowledge and edge to stay ahead of that curve.

Beyond technical mastery, this book teaches you how to think in graphs — how to design agents that are composable, traceable, and policy-aware. You’ll gain the mindset and tools needed to create AI systems that are not only functional but also maintainable and trustworthy in real-world applications.

If you’re ready to go from chaining prompts to engineering intelligent, stateful systems, this book is your roadmap. Learn how to harness LangGraph’s functional power to design the next generation of autonomous, reasoning-driven AI agents — and become the kind of developer who builds the future, not just watches it unfold.

Dettagli dell'edizione

• Editore: Independently published
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798275021141
• Rilegatura: Copertina flessibile
• Numero di pagine: 479
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile