Artículo: AMZ-B0G6YH32H1

Practical LangGraph : Building Production-Ready Agentic AI Systems with Stateful LLM Workflows, Multi-Agent Orchestration, Tool Use, RAG, and Reliable Graph-Based Reasoning

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Detalles del producto
Disponibilidad
Sin stock
Peso con empaque
0.84 kg
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No
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • In the rapidly evolving world of AI, moving beyond simple chatbots to intelligent, autonomous agents is the next frontier. LangGraph, the powerful extension of LangChain, enables developers to create sophisticated, stateful workflows using graph-based architectures, perfect for building reliable, scalable agentic systems that can reason, plan, collaborate, and act in real-world scenarios. Written for Python developers, AI engineers, and machine learning practitioners, Practical LangGraph is a hands-on guide that takes you from foundational concepts to deploying production-grade AI agents. With clear explanations, complete code examples, and real-world projects, you'll master the tools and patterns needed to build systems that handle complexity with confidence. What you'll learn:Core LangGraph fundamentals: nodes, edges, state management, and cyclical graphs for dynamic reasoningBuilding stateful single-agent workflows with memory, conditional routing, and error handlingIntegrating tools, Retrieval-Augmented Generation (RAG), and external data sources for grounded, accurate responsesDesigning multi-agent orchestration systems where specialized agents collaborate on complex tasksAdvanced techniques for reliable reasoning, including planning loops, human-in-the-loop feedback, and self-correctionBest practices for testing, debugging, monitoring, and deploying agentic applications at scaleReal-world case studies in areas like customer support automation, research assistants, data analysis pipelines, and moreSpanning 10 focused chapters, this book emphasizes practical implementation over theory, no toy examples here. Each chapter builds progressively, with downloadable code snippets, diagrams, and step-by-step tutorials to help you apply concepts immediately. Whether you're enhancing existing LLM applications or architecting entirely new agentic systems, Practical LangGraph equips you with the knowledge and skills to create robust, production-ready AI that delivers real business value. Unlock the full potential of graph-based agent workflows and stay ahead in the agentic AI revolution!

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