Neo4j Blog

From Data to Intelligence: Why Every Enterprise Needs an AI Knowledge Layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

4 min read
Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How Graph Intelligence Drives Breakthroughs in Science and Society

5 min read
iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Best Tools for Context Engineering in Agentic AI Systems

12 min read

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

9 min read

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most Recent

Neo4j Named a 2025 Gartner® Peer Insights™ Customers’ Choice for Cloud Database Management Systems

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Diagram of the enterprise graphs: Employee, Network & Security, Supplier, Product, Process, Transaction, Customer

Model Your Data Like Your Business for Better Insights

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Text2Cypher Across Languages: Evaluating Foundational Models Beyond English

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Welcome Mark Woodhams, Neo4j's Chief Revenue Officer

Welcoming Our New CRO, Mark Woodhams

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Cypher Conditional Queries

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Cypher Versioning

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Agentic AI With Java and Neo4j

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Improve GenAI Challenges on AWS with Graph Technology

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Explore the Neo4j Data Modeling MCP Server

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Neo4j Certification: What’s the Value?

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Knowledge graphs & LLMs for multi-hop question answering.

How to Improve Multi-Hop Reasoning With Knowledge Graphs and LLMs

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Cypher: The Neo4j Query Language Decoded for Beginners

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