Designing Knowledge Graphs with Neo4j: A Practical Guide to Modeling, Building, and Scaling Intelligent Graph Systems

Designing Knowledge Graphs with Neo4j is a practical, hands-on guide for developers, architects, and data professionals who want to build intelligent, scalable systems using connected data.Knowledge graphs are becoming a foundational technology for modern applications—powering recommendations, search, fraud detection, analytics, and AI-driven systems. This book teaches you how to design, model, build, and operate production-ready knowledge graphs using Neo4j, the world’s leading graph database.
Starting from core graph theory and Neo4j fundamentals, you’ll learn how to think in graphs, design effective data models, and query connected data using Cypher. As you progress, the book dives into advanced topics such as performance optimization, graph algorithms, machine learning integration, and generative AI use cases—always with practical, runnable examples.
You’ll also gain critical production skills, including security, governance, testing, scaling, and long-term maintenance, ensuring your knowledge graphs remain reliable and future-proof. Real-world case studies demonstrate how organizations apply Neo4j to solve complex business problems across industries.
By the end of this book, you will be able to confidently design and deploy knowledge graph systems that transform complex relationships into actionable intelligence.
What you’ll learn:
• Graph theory and knowledge graph fundamentals
• Designing scalable graph data models in Neo4j
• Querying and optimizing graphs with Cypher
• Enriching graphs with algorithms, ML, and AI
• Securing, scaling, and operating Neo4j in production
• Real-world knowledge graph applications and future trends
Whether you’re building intelligent applications, modern data platforms, or AI-powered systems, Designing Knowledge Graphs with Neo4j gives you the practical skills and architectural insight to succeed.