NEO4J FOR AI AND KNOWLEDGE GRAPHS: BUILD SEMANTIC SEARCH, RECOMMENDATION & RAG SYSTEMS WITH GRAPH DATA, CYPHER, AND LLMS - Softcover
Synopsis
Unlock the hidden intelligence in your data — and teach your AI to reason instead of just react.
In Neo4j for AI and Knowledge Graphs, tech innovator Robertto Tech takes you on a practical, engineering-focused journey through the world of graph databases, semantic search, and retrieval-augmented generation (RAG). Whether you’re an AI engineer, data scientist, or system architect, this book shows you exactly how to combine Neo4j’s graph power with modern large language models (LLMs) to build smarter, more context-aware applications.
From modeling entities and relationships with Cypher, to building hybrid graph-and-vector pipelines that feed real-time intelligence into GPT-based agents, every chapter blends deep technical knowledge with hands-on examples. You’ll learn how to design data structures that reflect real-world meaning, integrate embeddings for semantic search, and deploy AI-driven recommendation systems that actually understand connections — not just keywords.
Inside you’ll discover how to:
✅ Model complex relationships with Neo4j and Cypher
✅ Connect graph data to LLMs for RAG and knowledge retrieval
✅ Build semantic search and recommendation engines
✅ Use embeddings and vector search inside Neo4j
✅ Apply Graph Data Science (GDS) algorithms to enrich AI reasoning
✅ Deploy full AI-graph applications using Python and LangChain
If you’ve ever wondered how AI can truly “understand” knowledge, this is your roadmap.
Packed with practical projects, clean architecture patterns, and scalable workflows, Neo4j for AI and Knowledge Graphs bridges the gap between data engineering and intelligent reasoning systems.
💡 Build systems that think in context — and make your AI applications truly intelligent.
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Paperback. Condition: new. Paperback. Unlock the hidden intelligence in your data - and teach your AI to reason instead of just react.In Neo4j for AI and Knowledge Graphs, tech innovator Robertto Tech takes you on a practical, engineering-focused journey through the world of graph databases, semantic search, and retrieval-augmented generation (RAG). Whether you're an AI engineer, data scientist, or system architect, this book shows you exactly how to combine Neo4j's graph power with modern large language models (LLMs) to build smarter, more context-aware applications.From modeling entities and relationships with Cypher, to building hybrid graph-and-vector pipelines that feed real-time intelligence into GPT-based agents, every chapter blends deep technical knowledge with hands-on examples. You'll learn how to design data structures that reflect real-world meaning, integrate embeddings for semantic search, and deploy AI-driven recommendation systems that actually understand connections - not just keywords.Inside you'll discover how to: Model complex relationships with Neo4j and Cypher Connect graph data to LLMs for RAG and knowledge retrieval Build semantic search and recommendation engines Use embeddings and vector search inside Neo4j Apply Graph Data Science (GDS) algorithms to enrich AI reasoning Deploy full AI-graph applications using Python and LangChainIf you've ever wondered how AI can truly "understand" knowledge, this is your roadmap.Packed with practical projects, clean architecture patterns, and scalable workflows, Neo4j for AI and Knowledge Graphs bridges the gap between data engineering and intelligent reasoning systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798271422454
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NEO4J FOR AI AND KNOWLEDGE GRAPHS: BUILD SEMANTIC SEARCH, RECOMMENDATION & RAG SYSTEMS WITH GRAPH DATA, CYPHER, AND LLMS (Agentic AI & Retrieval Systems Series)
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Paperback. Condition: new. Paperback. Unlock the hidden intelligence in your data - and teach your AI to reason instead of just react.In Neo4j for AI and Knowledge Graphs, tech innovator Robertto Tech takes you on a practical, engineering-focused journey through the world of graph databases, semantic search, and retrieval-augmented generation (RAG). Whether you're an AI engineer, data scientist, or system architect, this book shows you exactly how to combine Neo4j's graph power with modern large language models (LLMs) to build smarter, more context-aware applications.From modeling entities and relationships with Cypher, to building hybrid graph-and-vector pipelines that feed real-time intelligence into GPT-based agents, every chapter blends deep technical knowledge with hands-on examples. You'll learn how to design data structures that reflect real-world meaning, integrate embeddings for semantic search, and deploy AI-driven recommendation systems that actually understand connections - not just keywords.Inside you'll discover how to: Model complex relationships with Neo4j and Cypher Connect graph data to LLMs for RAG and knowledge retrieval Build semantic search and recommendation engines Use embeddings and vector search inside Neo4j Apply Graph Data Science (GDS) algorithms to enrich AI reasoning Deploy full AI-graph applications using Python and LangChainIf you've ever wondered how AI can truly "understand" knowledge, this is your roadmap.Packed with practical projects, clean architecture patterns, and scalable workflows, Neo4j for AI and Knowledge Graphs bridges the gap between data engineering and intelligent reasoning systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798271422454
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