Isbn: 9798289025890 - building graph-enhanced ai agents with adk, mcp, and neo4j: a practical guide to developing ai agents, smart reasoning, and modular automation: 1 (7 risultati)

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: new. Paperback. 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 ReasoningSetting Up Your Development Environment with ADK, MCP, and Neo4jBuilding Modular, Tool-Enabled Agent WorkflowsIntegrating Neo4j as a Memory Layer for Intelligent RecallReal-World Case Studies including Research Assistants, Investment Advisors, and Workflow AutomationAdvanced Orchestration Techniques with Multi-Agent SystemsPersistent State Management and Long-Term Memory StorageMonitoring, Scaling, and Deploying Agents in ProductionCustom Project Templates for Tailored AI AssistantsNathan 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New. Print on Demand.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. 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 ReasoningSetting Up Your Development Environment with ADK, MCP, and Neo4jBuilding Modular, Tool-Enabled Agent WorkflowsIntegrating Neo4j as a Memory Layer for Intelligent RecallReal-World Case Studies including Research Assistants, Investment Advisors, and Workflow AutomationAdvanced Orchestration Techniques with Multi-Agent SystemsPersistent State Management and Long-Term Memory StorageMonitoring, Scaling, and Deploying Agents in ProductionCustom Project Templates for Tailored AI AssistantsNathan 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…