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Using Neo4j and Spring AI to build intelligent music applications.

Knowledge Graph of Drugs Data for Swiss Healthcare System

Harmonizing AI and Graphs: Building Intelligent Music Applications with Neo4j and Spring AI

Supply Chain Risk Predictions with Neo4j Graph Data Technology

Knowledge graph approach to drugs data within the Swiss healthcare system.

Revolutionizing Platform Engineering with AI Agents and GraphRAG

Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. This book offers practical and concise recipes on how and when to successfully leverage Neo4j into architectures. Authors Christophe Willemsen and Luanne Misquitta walk you through typical Neo4j implementation strategies from proof of concept to iterative improvements and, finally, to production readiness and beyond. By the end of this book, you should understand how to: Make practical decisions in the proof of concept stage to maximize value Revisit and revise your decisions when transitioning to production Configure and implement observability features for in-production data graphs Integrate graph databases into existing enterprise architectures