Are you ready to build smarter AI systems that truly understand complex data and context? Knowledge Graphs for AI Agents: A Developer's Guide to Semantic AI Systems equips you with the tools and insights needed to create powerful knowledge graphs that drive intelligent agent behavior. This book offers a clear, practical roadmap for designing, constructing, and deploying knowledge graphs tailored for AI agents. From mastering fundamental graph concepts to advanced semantic modeling, graph querying, and integrating with ...
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Are you ready to build smarter AI systems that truly understand complex data and context? Knowledge Graphs for AI Agents: A Developer's Guide to Semantic AI Systems equips you with the tools and insights needed to create powerful knowledge graphs that drive intelligent agent behavior. This book offers a clear, practical roadmap for designing, constructing, and deploying knowledge graphs tailored for AI agents. From mastering fundamental graph concepts to advanced semantic modeling, graph querying, and integrating with large language models, you'll learn how to make AI agents reason, learn, and act with contextual awareness. Explore real-world applications in healthcare, finance, and IoT that demonstrate how knowledge graphs transform industries. What makes this guide stand out? Fundamentals of Knowledge Graphs: Understand nodes, edges, ontologies, and semantic relationships. AI Agent Models and Architectures: Explore agent design patterns and communication protocols. Semantic Data Modeling: Learn ontology engineering and handling ambiguity. Graph Construction Pipelines: Master entity recognition, data integration, and quality assurance. Graph Storage and Querying: Compare databases, optimize indexing, and write efficient queries with SPARQL, Cypher, and Gremlin. Reasoning and Inference: Apply logic, rule-based engines, and probabilistic reasoning. Integration with AI Agents: Architect knowledge graph-backed agents and real-time update patterns. Leveraging Large Language Models: Combine structured knowledge with generative AI. Multi-Agent Systems: Enable knowledge sharing and coordinated decision-making. Maintenance and Ethics: Manage graph evolution, security, privacy, and ethical AI. Deployment and Applications: Learn cloud deployment, monitoring, and future research trends. Are you ready to enhance your AI development skills and build next-level semantic systems? This book provides clear explanations, actionable examples, and industry insights that empower you to create scalable, intelligent AI agents using knowledge graphs. Grab your copy today and start transforming data into intelligent action.
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Add this copy of Knowledge Graphs for AI Agents: A Developer's Guide to to cart. £19.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
