Agentic AI with Langchain & Langgraph: Build Reliable Multi-Agent LLM Systems with Python, RAG Workflows, and Production-Ready Patterns - Softcover
Synopsis
Unlock the power of agentic AI and start building systems that think, reason, and collaborate. This practical guide shows you exactly how to design intelligent, reliable, and scalable multi-agent applications using LangChain, LangGraph, and Python. Whether you are a developer, data engineer, researcher, or AI enthusiast, this book gives you the tools and patterns needed to build production-grade LLM systems that deliver real results.
You will learn how to create autonomous agents that can plan, retrieve information, call tools, work together, and execute complex tasks with minimal human intervention. Each concept is explained clearly and supported with step-by-step examples you can use immediately. From designing your first agent to deploying advanced RAG architectures and fault-tolerant workflows, this guide removes the guesswork and puts modern agentic AI in your hands.
Inside this book, you will discover:
1. How agentic AI works and why it is transforming automation, AI engineering, and product development
2. The exact process for building intelligent agents with LangChain, LangGraph, and Python
3. Proven multi-agent patterns, collaboration strategies, and workflow designs that scale in real applications
4. Essential RAG techniques for grounding your agents in reliable, up-to-date information
5. Error handling, memory design, state management, tool calling, routing, and workflow orchestration
6. Architectures that prevent hallucination, reduce failure, and keep agents aligned with your goals
7. Hands-on projects you can build and deploy, including research copilots, AI workflows, knowledge assistants, and autonomous task agents
8. Optimization, monitoring, debugging, and performance best practices for production-ready systems
Whether you want to streamline workflows, automate complex tasks, build intelligent assistants, or engineer the next generation of AI-powered products, this book gives you the clarity, confidence, and practical skills to make it happen.
If you are ready to move beyond simple chatbots and into real agentic engineering, this is the guide that will take you there.
"synopsis" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Unlock the power of agentic AI and start building systems that think, reason, and collaborate. This practical guide shows you exactly how to design intelligent, reliable, and scalable multi-agent applications using LangChain, LangGraph, and Python. Whether you are a developer, data engineer, researcher, or AI enthusiast, this book gives you the tools and patterns needed to build production-grade LLM systems that deliver real results. You will learn how to create autonomous agents that can plan, retrieve information, call tools, work together, and execute complex tasks with minimal human intervention. Each concept is explained clearly and supported with step-by-step examples you can use immediately. From designing your first agent to deploying advanced RAG architectures and fault-tolerant workflows, this guide removes the guesswork and puts modern agentic AI in your hands. Inside this book, you will discover: 1. How agentic AI works and why it is transforming automation, AI engineering, and product development 2. The exact process for building intelligent agents with LangChain, LangGraph, and Python 3. Proven multi-agent patterns, collaboration strategies, and workflow designs that scale in real applications 4. Essential RAG techniques for grounding your agents in reliable, up-to-date information 5. Error handling, memory design, state management, tool calling, routing, and workflow orchestration 6. Architectures that prevent hallucination, reduce failure, and keep agents aligned with your goals 7. Hands-on projects you can build and deploy, including research copilots, AI workflows, knowledge assistants, and autonomous task agents 8. Optimization, monitoring, debugging, and performance best practices for production-ready systems Whether you want to streamline workflows, automate complex tasks, build intelligent assistants, or engineer the next generation of AI-powered products, this book gives you the clarity, confidence, and practical skills to make it happen. If you are ready to move beyond simple chatbots and into real agentic engineering, this is the guide that will take you there. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798275093902
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Paperback. Condition: new. Paperback. Unlock the power of agentic AI and start building systems that think, reason, and collaborate. This practical guide shows you exactly how to design intelligent, reliable, and scalable multi-agent applications using LangChain, LangGraph, and Python. Whether you are a developer, data engineer, researcher, or AI enthusiast, this book gives you the tools and patterns needed to build production-grade LLM systems that deliver real results. You will learn how to create autonomous agents that can plan, retrieve information, call tools, work together, and execute complex tasks with minimal human intervention. Each concept is explained clearly and supported with step-by-step examples you can use immediately. From designing your first agent to deploying advanced RAG architectures and fault-tolerant workflows, this guide removes the guesswork and puts modern agentic AI in your hands. Inside this book, you will discover: 1. How agentic AI works and why it is transforming automation, AI engineering, and product development 2. The exact process for building intelligent agents with LangChain, LangGraph, and Python 3. Proven multi-agent patterns, collaboration strategies, and workflow designs that scale in real applications 4. Essential RAG techniques for grounding your agents in reliable, up-to-date information 5. Error handling, memory design, state management, tool calling, routing, and workflow orchestration 6. Architectures that prevent hallucination, reduce failure, and keep agents aligned with your goals 7. Hands-on projects you can build and deploy, including research copilots, AI workflows, knowledge assistants, and autonomous task agents 8. Optimization, monitoring, debugging, and performance best practices for production-ready systems Whether you want to streamline workflows, automate complex tasks, build intelligent assistants, or engineer the next generation of AI-powered products, this book gives you the clarity, confidence, and practical skills to make it happen. If you are ready to move beyond simple chatbots and into real agentic engineering, this is the guide that will take you there. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798275093902
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