{"product_id":"neo4j-for-agentic-ai-systems-larry-hawley-9798267528474","title":"Neo4j for Agentic AI Systems: Integrating Knowledge Graph for Context-Aware AI","description":"\u003cb\u003e\u003cb\u003eNeo4j for Agentic AI Systems\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003e\u003ci\u003e\u003ci\u003eIntegrating Knowledge Graph for Context-Aware AI\u003c\/i\u003e\u003c\/i\u003e\u003cbr\u003eModern AI agents require more than vector databases and prompts. They need \u003cb\u003e\u003cb\u003estructured knowledge, persistent memory, and context-aware orchestration\u003c\/b\u003e\u003c\/b\u003e to function at scale. That's where Neo4j comes in.\u003cbr\u003eThis book shows developers, AI engineers, and data scientists how to combine \u003cb\u003e\u003cb\u003eagentic frameworks\u003c\/b\u003e\u003c\/b\u003e such as LangGraph, Claude Subagents, and AutoGen with \u003cb\u003e\u003cb\u003eNeo4j knowledge graphs\u003c\/b\u003e\u003c\/b\u003e 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.\u003cbr\u003e\u003cb\u003e\u003cb\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eModel \u003cb\u003e\u003cb\u003eagent states, roles, and tool usage\u003c\/b\u003e\u003c\/b\u003e as graph structures\u003cbr\u003eBuild \u003cb\u003e\u003cb\u003elong-term agent memory\u003c\/b\u003e\u003c\/b\u003e with Neo4j nodes and relationships\u003cbr\u003eImplement \u003cb\u003e\u003cb\u003eGraph RAG (retrieval-augmented generation)\u003c\/b\u003e\u003c\/b\u003e using hybrid search\u003cbr\u003eConnect Neo4j with \u003cb\u003e\u003cb\u003eLangGraph, LangChain, Claude, and AutoGen\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eDebug and monitor agent workflows using \u003cb\u003e\u003cb\u003egraph queries and visualization\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eApply \u003cb\u003e\u003cb\u003esecurity, governance, and compliance\u003c\/b\u003e\u003c\/b\u003e controls in production\u003cbr\u003e\u003cb\u003e\u003cb\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003cb\u003eDevelopers\u003c\/b\u003e\u003c\/b\u003e building intelligent assistants or orchestration pipelines\u003cbr\u003e\u003cb\u003e\u003cb\u003eAI engineers\u003c\/b\u003e\u003c\/b\u003e designing multi-agent systems with persistent state\u003cbr\u003e\u003cb\u003e\u003cb\u003eData scientists\u003c\/b\u003e\u003c\/b\u003e exploring graph-enhanced retrieval and hybrid memory\u003cbr\u003e\u003cb\u003e\u003cb\u003eResearchers\u003c\/b\u003e\u003c\/b\u003e working on explainability, governance, and emergent agent behavior\u003cbr\u003e\u003cb\u003e\u003cb\u003e\u003cb\u003eInside the Book\u003c\/b\u003e\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eFoundations of \u003cb\u003e\u003cb\u003eNeo4j for AI\u003c\/b\u003e\u003c\/b\u003e (graph data modeling, Cypher, schema design)\u003cbr\u003eStep-by-step integration with \u003cb\u003e\u003cb\u003eLangGraph, Claude Subagents, and AutoGen\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003cb\u003eCase studies\u003c\/b\u003e\u003c\/b\u003e: customer support assistants, research orchestrators, SRE debugging pipelines\u003cbr\u003eBest practices for \u003cb\u003e\u003cb\u003eobservability, fault tolerance, and scaling Neo4j-backed agents\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eIf you want to move beyond demos and build \u003cb\u003e\u003cb\u003econtext-aware agentic systems that work in the real world\u003c\/b\u003e\u003c\/b\u003e, this book gives you the tools and patterns to do it.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Larry Hawley\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798267528474\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/28\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 146\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.58lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.31d","brand":"Larry Hawley","offers":[{"title":"Paperback","offer_id":48742998802687,"sku":"9798267528474","price":17.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_30426bc3-8cc0-44b9-82a9-4c7ecc393369.jpg?v=1782449093","url":"https:\/\/www.whiterainbookhouse.com\/products\/neo4j-for-agentic-ai-systems-larry-hawley-9798267528474","provider":"WR Book House","version":"1.0","type":"link"}