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LangGraph and LangChain Systems in Practice: Building Agentic AI Workflows, Tool-Using Agents, and Stateful LLM Applications
Paperback
Series: Modern Agentic AI Systems, Book 1
Publisher: Independently Published
Published: May 1 2026
Pages: 224
Weight: 0.87
Height: 0.47 Width: 7.00 Depth: 10.00
Language: English
Readers will learn how to design workflows that move through defined states, coordinate multiple actions, and adapt based on intermediate results. The book explores how to connect language models to tools, APIs, and data sources while maintaining clarity and control over system behavior. It also covers how to manage memory, handle errors gracefully, and build flows that can scale with real-world demands.
Through detailed examples and real implementation scenarios, the book demonstrates how to construct applications such as task automation systems, multi-step assistants, and tool-integrated AI workflows. It emphasizes clean architecture, modular design, and techniques that make systems easier to extend and maintain over time.
This book is written for developers who want to build reliable AI applications using modern frameworks. Whether you are creating internal tools, developer platforms, or user-facing applications, you will gain a deep understanding of how to structure agentic workflows that are both powerful and manageable.
By the end of the book, you will be able to design and implement AI systems that move beyond simple prompts into fully structured, context-aware applications capable of handling complex tasks.
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