Neo4j: The Definitive Guide

Preface

Graph databases power mission-critical applications across thousands of enterprises, enabling everything from recommendation engines and fraud detection to supply-chain optimization and knowledge graphs. Neo4j, as a pioneer in this space and now a leading graph platform, plays a pivotal role in this evolution. Organizations are increasingly turning to graph-based solutions to extract deeper insights from their connected data. Yet the journey from concept to production remains challenging for many teams venturing into the world of graphs.

Whether you’re looking to improve the performance of Cypher queries, model your graph to support diverse use cases, or comply with enterprise security requirements, this book is your companion on the road to production readiness. Within these pages, you’ll find a curated collection of practical, concise lessons designed to help you solve real-world challenges with Neo4j. They’re grounded in field-tested strategies from successful Neo4j deployments around the world.

Furthermore, with the explosion of generative AI driving even greater adoption of knowledge graphs, the need for practical implementation guidance has never been greater. From quick proof-of-concept implementations to full-scale production systems, we’ll be your guides, keeping you on the path to success. Along the way, we’ll explore common pitfalls, discuss the trade-offs behind different approaches, and help you build robust solutions that meet the demands of modern enterprise ...