Building Neo4j-Powered Applications with LLMs

Preface

We’re living through a GenAI revolution—where AI is no longer just a backend component but a copilot, content creator, and decision-maker. And yet, many GenAI applications still struggle with hallucinations, lack of contextual understanding, and opaque reasoning. That’s where this book comes in.

This book was born out of a core belief: knowledge graphs are the missing link between GenAI power and real-world intelligence. By combining the strengths of Large Language Models (LLMs) with the structured, connected data of Neo4j, and enhancing them with Retrieval-Augmented Generation (RAG) workflows, we can build systems that are not only smart but also grounded, contextual, and transparent.

We wrote this book because we’ve spent the last ...