Isbn: 9798251082418 - neo4j for ai engineers: build knowledge graphs, power rag systems, and scale intelligent applications with graph databases (4 resultados)

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Paperback. Condición: new. Paperback. Artificial Intelligence is evolving rapidly, but traditional databases often struggle to represent the complex relationships that power intelligent systems.Graph databases solve this challenge by placing relationships at the center of data modeling.In Neo4j for AI Engineers, you will learn how to design and build powerful knowledge graphs that unlock deeper insights, support smarter AI applications, and improve Retrieval-Augmented Generation (RAG) systems. Whether you are developing recommendation engines, AI-powered search systems, or intelligent applications, Neo4j provides the relationship-driven foundation required for modern AI architectures.This practical guide walks you step-by-step through the concepts, tools, and design strategies used by AI engineers to build scalable graph-powered systems.Rather than focusing only on theory, the book emphasizes real-world implementation, helping you progress from graph database fundamentals to production-ready AI infrastructure.What You Will LearnHow graph databases work and why they outperform relational models for AI applicationsHow to design and build knowledge graphs for intelligent systemsHow to use the Cypher query language to explore complex data relationshipsHow to build graph-powered Retrieval-Augmented Generation (RAG) pipelinesHow to integrate Neo4j with AI frameworks and machine learning workflowsHow to apply graph algorithms to uncover patterns and insightsHow to design recommendation systems and intelligent search using graph technologyHow to optimize Neo4j for performance, scalability, and production environmentsWho This Book Is ForThis book is designed for: AI EngineersMachine Learning EngineersBackend DevelopersData EngineersSoftware Engineers building AI-powered systemsIf you already work with Python, APIs, machine learning frameworks, or data pipelines, this book will show you how to leverage the power of relationship-driven data using graph databases.Why Neo4j Matters for Modern AIAs AI systems grow more sophisticated, understanding the relationships between data points becomes increasingly important.Graph databases enable: More accurate AI context retrievalMore effective recommendation systemsSmarter semantic searchRicher knowledge representationOrganizations across industries including finance, healthcare, cybersecurity, and e-commerce use graph technology to power advanced data-driven systems.Build the Next Generation of Intelligent SystemsBy the end of this book, you will understand how to design, build, and scale graph-powered AI systems using Neo4j. You will gain practical knowledge at the intersection of AI engineering, data architecture, and knowledge graphs. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Artificial Intelligence is evolving rapidly, but traditional databases often struggle to represent the complex relationships that power intelligent systems.Graph databases solve this challenge by placing relationships at the center of data modeling.In Neo4j for AI Engineers, you will learn how to design and build powerful knowledge graphs that unlock deeper insights, support smarter AI applications, and improve Retrieval-Augmented Generation (RAG) systems. Whether you are developing recommendation engines, AI-powered search systems, or intelligent applications, Neo4j provides the relationship-driven foundation required for modern AI architectures.This practical guide walks you step-by-step through the concepts, tools, and design strategies used by AI engineers to build scalable graph-powered systems.Rather than focusing only on theory, the book emphasizes real-world implementation, helping you progress from graph database fundamentals to production-ready AI infrastructure.What You Will LearnHow graph databases work and why they outperform relational models for AI applicationsHow to design and build knowledge graphs for intelligent systemsHow to use the Cypher query language to explore complex data relationshipsHow to build graph-powered Retrieval-Augmented Generation (RAG) pipelinesHow to integrate Neo4j with AI frameworks and machine learning workflowsHow to apply graph algorithms to uncover patterns and insightsHow to design recommendation systems and intelligent search using graph technologyHow to optimize Neo4j for performance, scalability, and production environmentsWho This Book Is ForThis book is designed for: AI EngineersMachine Learning EngineersBackend DevelopersData EngineersSoftware Engineers building AI-powered systemsIf you already work with Python, APIs, machine learning frameworks, or data pipelines, this book will show you how to leverage the power of relationship-driven data using graph databases.Why Neo4j Matters for Modern AIAs AI systems grow more sophisticated, understanding the relationships between data points becomes increasingly important.Graph databases enable: More accurate AI context retrievalMore effective recommendation systemsSmarter semantic searchRicher knowledge representationOrganizations across industries including finance, healthcare, cybersecurity, and e-commerce use graph technology to power advanced data-driven systems.Build the Next Generation of Intelligent SystemsBy the end of this book, you will understand how to design, build, and scale graph-powered AI systems using Neo4j. You will gain practical knowledge at the intersection of AI engineering, data architecture, and knowledge graphs. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…