Building Graph-Enhanced AI Agents with ADK, MCP, and Neo4j: A Practical Guide to Developing AI Agents, Smart Reasoning, and Modular Automation

Name: Building Graph-Enhanced AI Agents with ADK, MCP, and Neo4j: A Practical Guide to Developing AI Agents, Smart Reasoning, and Modular Automation
Brand: Independently Published
SKU: 9798289025890
Price: 1399.0 INR
Availability: InStock

by Nathan Steele

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ISBN13: 9798289025890
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: June 20, 2025
Pages: 162
Original Price: GBP 12.24
Language: English
Edition: N/A
Item Weight: 291 grams
BISAC Subject(s): Artificial Intelligence / General

About The Book

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
Setting Up Your Development Environment with ADK, MCP, and Neo4j
Building Modular, Tool-Enabled Agent Workflows
Integrating Neo4j as a Memory Layer for Intelligent Recall
Real-World Case Studies including Research Assistants, Investment Advisors, and Workflow Automation
Advanced Orchestration Techniques with Multi-Agent Systems
Persistent State Management and Long-Term Memory Storage
Monitoring, Scaling, and Deploying Agents in Production
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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