Building Graph-Enhanced AI Agents with ADK, MCP, and Neo4j
Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
Series: Book 1 of 4 - Building Intelligent Agents: The Complete Framework Series
- Softcover
- New

Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
AbeBooks seller since June 11, 1999
Condition: New
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Add to basketItem description from seller
New Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9798289025890
- Title
- Building Graph-Enhanced AI Agents with ADK, MCP, and Neo4j
- Author
- Nathan Steele
- Publisher
- Amazon Digital Services LLC - Kdp
- Publication year
- 2025
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798289025890
- Item weight
- 290 grams
- Series
- Book 1 of 4: Building Intelligent Agents: The Complete Framework Series
Master the art of building intelligent, graph-enhanced AI agents with Building Graph-Enhanced AI Agents with ADK, MCP, and Neo4j. This comprehensive, practical guide empowers developers, data scientists, and AI enthusiasts to create sophisticated agents that leverage Google’s Agent Developer Kit (ADK), Model-Text Protocols (MCP), and Neo4j’s powerful graph database for smart reasoning and modular automation.
Designed for 2025 and beyond, this book navigates the latest advancements in AI orchestration and knowledge graph integration. You will learn to develop scalable, context-aware AI agents capable of complex decision-making, multi-agent coordination, and dynamic workflow automation. Practical examples and well-documented code walk you through setting up environments, crafting modular workflows, integrating graph memory for long-term state persistence, and deploying production-ready systems.
The book covers essential topics such as:
-
Foundations of Agentic AI and Graph Reasoning
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Setting Up Your Development Environment with ADK, MCP, and Neo4j
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Building Modular, Tool-Enabled Agent Workflows
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Integrating Neo4j as a Memory Layer for Intelligent Recall
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Real-World Case Studies including Research Assistants, Investment Advisors, and Workflow Automation
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Advanced Orchestration Techniques with Multi-Agent Systems
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Persistent State Management and Long-Term Memory Storage
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Monitoring, Scaling, and Deploying Agents in Production
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Custom Project Templates for Tailored AI Assistants
Nathan Steele, an expert in AI agent development and graph-based systems, brings clear, authoritative guidance rooted in the latest industry practices. This book reflects cutting-edge technology including Google Gemini, LangChain, AutoGen, and CrewAI, ensuring you stay ahead in the evolving AI landscape.
Whether you are a professional developer seeking to enhance your AI solutions or a researcher exploring intelligent agent architectures, this book equips you with actionable knowledge to build agents that learn, reason, and adapt using graph-enhanced memory and modular design.
Unlock the full potential of AI agents by mastering graph-enhanced architectures with ADK, MCP, and Neo4j. Elevate your projects with smart reasoning, modular automation, and real-world deployment insights—your definitive guide to the future of intelligent agents.
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PBShop.store UK
Fairford, GLOS, United Kingdom
AbeBooks seller since June 11, 1999
Shipping rates from United Kingdom to U.S.A.
| Item | 10 to 20 business days | 10 to 20 business days |
|---|---|---|
| First item | US$ 5.51 | US$ 5.51 |
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