As AI continues to transform how we build applications, the combination of graph databases and Large Language Models (LLMs) is unlocking powerful new possibilities. If you're a developer looking to go beyond traditional search and deliver intelligent, context-aware recommendations, Building Neo4j-Powered Applications with LLMs is a book you shouldn’t miss.
Why This Book Matters
Most AI resources today focus on vector databases or standalone LLM implementations. This book fills a crucial gap by showing how Neo4j’s graph-powered data modeling can complement LLM-driven reasoning to create more precise, connected, and explainable AI systems.
By the end, you’ll know how to:
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Build LLM-powered search systems that understand context and relationships.
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Design recommendation engines using graph algorithms and AI.
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Integrate Haystack for flexible retrieval pipelines.
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Use LangChain4j to bring LLMs into Java applications.
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Deploy scalable AI services with Spring AI.
Hands-On Learning
The book isn’t just theory—it’s packed with practical projects that guide you through:
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Setting up a knowledge graph as the backbone of your AI application.
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Combining LLMs with Neo4j to enable conversational search.
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Building real-time personalized recommendations.
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Optimizing your apps for production with Spring Boot.
Every chapter walks you through real-world scenarios, making it easy to follow along even if you're new to either Neo4j or LLM integrations.
Who Should Read It?
This book is perfect for:
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Backend developers eager to integrate AI into their services.
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Data engineers exploring graph-based retrieval systems.
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Java and Spring Boot developers looking to work with LLMs.
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AI enthusiasts curious about graph + LLM applications.
Final Verdict
Building Neo4j-Powered Applications with LLMs offers a clear, step-by-step roadmap to building smarter search tools, recommendation systems, and enterprise AI applications. Whether you’re experimenting with LLMs or deploying production-ready AI, this book will give you the edge you need.
๐ Get your copy today: Building Neo4j-Powered Applications with LLMs


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