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The Neo4j AI Blueprint: Building Intelligent Applications with Graph Databases, Machine Learning, and Generative AI
Paperback
Publisher: Independently Published
Published: Jan 10 2026
Pages: 228
Weight: 0.89
Height: 0.48 Width: 7.00 Depth: 10.00
Language: English
The Neo4j AI Blueprint is a comprehensive, hands-on guide for developers who want to build modern AI applications using graph databases, machine learning, and generative AI. As AI systems become more complex, traditional data models fall short in capturing relationships, dependencies, and real-world context. This book shows how Neo4j solves that problem by making relationships first-class citizens in your AI architecture.
As the book progresses, you'll dive into advanced AI architectures, including knowledge graphs, vector search, Retrieval-Augmented Generation (RAG), and integrations with large language models. You'll learn how Neo4j acts as a structured memory layer for generative AI, grounding LLM responses in trusted, explainable data while reducing hallucinations.
Unlike many AI books that stop at experimentation, The Neo4j AI Blueprint takes you all the way to production. You'll learn how to scale Neo4j for AI workloads, optimize performance, secure and govern graph data, and design explainable AI systems that meet enterprise and regulatory expectations. Advanced chapters cover Graph Neural Networks, hybrid symbolic-neural reasoning, and future-ready graph AI patterns.
Written in a clear, developer-focused style, this book teaches through action. Every example is complete, correct, and designed to be applied immediately. Whether you are building recommendation systems, intelligent search, knowledge-driven AI, or real-time decision engines, this book provides the blueprint.
If you want to build AI systems that understand relationships-not just data-this book is for you
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