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Home > Computing and Information Technology > Computer science > Artificial intelligence > Neural networks and fuzzy systems > LangGraph Intelligence: Building Next-Gen AI Agents and LLM Workflows: Build Autonomous Agents, Memory Systems, RAG Pipelines, and Multi-Agent Workflows with LangGraph, Lan
LangGraph Intelligence: Building Next-Gen AI Agents and LLM Workflows: Build Autonomous Agents, Memory Systems, RAG Pipelines, and Multi-Agent Workflows with LangGraph, Lan

LangGraph Intelligence: Building Next-Gen AI Agents and LLM Workflows: Build Autonomous Agents, Memory Systems, RAG Pipelines, and Multi-Agent Workflows with LangGraph, Lan


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About the Book

Unlock the future of intelligent systems with LangGraph. LangGraph Intelligence, delivers a definitive, hands-on guide for developers, researchers, and AI engineers looking to design powerful LLM-driven agents using LangGraph, LangChain, and the latest AI workflow orchestration tools. Whether you're building autonomous AI agents, deploying RAG (Retrieval-Augmented Generation) pipelines, or architecting multi-agent communication systems, this book is your step-by-step blueprint to modern AI engineering. From foundational concepts to real-world deployment, this guide walks you through the modular design of LLM applications, persistent memory integration, semantic search, tool usage, and stateful flows using LangGraph's graph-based architecture. You'll learn how to chain prompts intelligently, control state transitions between nodes, integrate external APIs, and build agents that think, remember, and act. Inside, you'll master: How LangGraph differs from LangChain and when to use both Implementing short-term and long-term memory systems in LLM pipelines Building stateful, event-driven workflows using LangGraph nodes Designing RAG systems with embedded search and vector databases Architecting autonomous agents that can plan, reason, and execute Creating multi-agent communication systems and orchestration patterns Custom LangGraph node design, tool chaining, and flow control Real-world projects: assistants, chatbots, task solvers, and research agents Monitoring, evaluation, debugging, and safe deployment Best practices in AI safety, alignment, and ethical deployment Whether you're building for research, startups, or enterprise systems, this book will teach you how to bring intelligent autonomy to your LLM applications with real engineering, not just theory. Built For: LLM Developers - AI Engineers - LangChain & LangGraph Users - Tech Entrepreneurs - ML Researchers - AI Hobbyists - Full-Stack Devs If you've been exploring tools like LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or LangGraph, this book will connect the dots and help you build production-grade systems. Don't just build chatbots build intelligence. Level up your AI stack with LangGraph Intelligence.


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Product Details
  • ISBN-13: 9798290726755
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 142
  • Spine Width: 8 mm
  • Weight: 308 gr
  • ISBN-10: 8290726759
  • Publisher Date: 02 Jul 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Building Next-Gen AI Agents and LLM Workflows: Build Autonomous Agents, Memory Systems, RAG Pipelines, and Multi-Agent Workflows with LangGraph, Lan
  • Width: 178 mm


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