ISBN: 9798267528474 - neo4j for agentic ai systems: integrating knowledge graph for context-aware ai (11 resultados)

Condición: New.

Paperback. Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: New.

Paperback. Condición: new. Paperback. Neo4j for Agentic AI SystemsIntegrating Knowledge Graph for Context-Aware AIModern AI agents require more than vector databases and prompts. They need structured knowledge, persistent memory, and context-aware orchestration to function at scale. That's where Neo4j comes in.This book shows developers, AI engineers, and data scientists how to combine agentic frameworks such as LangGraph, Claude Subagents, and AutoGen with Neo4j knowledge graphs to build real-world, production-ready systems. By the end, you'll know how to model agent lifecycles, design graph-based memory, and orchestrate workflows that are transparent, explainable, and scalable.What You Will LearnModel agent states, roles, and tool usage as graph structuresBuild long-term agent memory with Neo4j nodes and relationshipsImplement Graph RAG (retrieval-augmented generation) using hybrid searchConnect Neo4j with LangGraph, LangChain, Claude, and AutoGenDebug and monitor agent workflows using graph queries and visualizationApply security, governance, and compliance controls in productionWho This Book Is ForDevelopers building intelligent assistants or orchestration pipelinesAI engineers designing multi-agent systems with persistent stateData scientists exploring graph-enhanced retrieval and hybrid memoryResearchers working on explainability, governance, and emergent agent behaviorInside the BookFoundations of Neo4j for AI (graph data modeling, Cypher, schema design)Step-by-step integration with LangGraph, Claude Subagents, and AutoGenCase studies: customer support assistants, research orchestrators, SRE debugging pipelinesBest practices for observability, fault tolerance, and scaling Neo4j-backed agentsIf you want to move beyond demos and build context-aware agentic systems that work in the real world, this book gives you the tools and patterns to do it. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Neo4j for Agentic AI SystemsIntegrating Knowledge Graph for Context-Aware AIModern AI agents require more than vector databases and prompts. They need structured knowledge, persistent memory, and context-aware orchestration to function at scale. That's where Neo4j comes in.This book shows developers, AI engineers, and data scientists how to combine agentic frameworks such as LangGraph, Claude Subagents, and AutoGen with Neo4j knowledge graphs to build real-world, production-ready systems. By the end, you'll know how to model agent lifecycles, design graph-based memory, and orchestrate workflows that are transparent, explainable, and scalable.What You Will LearnModel agent states, roles, and tool usage as graph structuresBuild long-term agent memory with Neo4j nodes and relationshipsImplement Graph RAG (retrieval-augmented generation) using hybrid searchConnect Neo4j with LangGraph, LangChain, Claude, and AutoGenDebug and monitor agent workflows using graph queries and visualizationApply security, governance, and compliance controls in productionWho This Book Is ForDevelopers building intelligent assistants or orchestration pipelinesAI engineers designing multi-agent systems with persistent stateData scientists exploring graph-enhanced retrieval and hybrid memoryResearchers working on explainability, governance, and emergent agent behaviorInside the BookFoundations of Neo4j for AI (graph data modeling, Cypher, schema design)Step-by-step integration with LangGraph, Claude Subagents, and AutoGenCase studies: customer support assistants, research orchestrators, SRE debugging pipelinesBest practices for observability, fault tolerance, and scaling Neo4j-backed agentsIf you want to move beyond demos and build context-aware agentic systems that work in the real world, this book gives you the tools and patterns to do it. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…