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LangGraph Intelligence: Building Next-Gen AI Agents and LLM Workflows: Build Autonomous Agents, Memory Systems, RAG Pipelines, and Multi-Agent Workflows with LangGraph, LangChain - Softcover
Inhaltsangabe
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
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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LangGraph Intelligence
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LangGraph Intelligence: Building Next-Gen AI Agents and LLM Workflows: Build Autonomous Agents, Memory Systems, RAG Pipelines, and Multi-Agent Workflows with LangGraph, LangChain
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LangGraph Intelligence (Paperback)
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Paperback. Zustand: new. Paperback. 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 bothImplementing short-term and long-term memory systems in LLM pipelinesBuilding stateful, event-driven workflows using LangGraph nodesDesigning RAG systems with embedded search and vector databasesArchitecting autonomous agents that can plan, reason, and executeCreating multi-agent communication systems and orchestration patternsCustom LangGraph node design, tool chaining, and flow controlReal-world projects: assistants, chatbots, task solvers, and research agentsMonitoring, evaluation, debugging, and safe deploymentBest practices in AI safety, alignment, and ethical deploymentWhether 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 DevsIf 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798290726755
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