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.

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

How Graph Intelligence Drives Breakthroughs in Science and Society

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

Agentic AI

Best Tools for Context Engineering in Agentic AI Systems

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

Featured Voices

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

US government building

From Data Chaos to Clarity: How Connected Data Can Improve US Government Decision-Making

Breaking out of Data Jail: How Arcurve Better Serves Its Clients with Neo4j Graph Data Science

Neo4j Integrates Into Your Data Ecosystem with Connectors

Neo4j’s Emil Eifrem and FirstMark’s Matt Turck on the Graph Database Explosion

Overview of the Neo4j Graph Data Platform

Combating Money Laundering: Graph Data Visualizations

Master Data Management

Rethink Your Master Data: How Graphs and MDM Intersect

Learn everything you need to know about Neo4j for Graph Data Science.

Announcing Neo4j for Graph Data Science

Learn the definition of a graph (vs. a chart), including nodes, relationships, graph theory and more

Graph Databases for Beginners: Wait, What Do You Mean by “Graph”?

Meet Jason Cox and Jess Mason who run a meetup called Philly GraphDB to explore graph technologies.

Cypher & GQL

Cypher Philly: Civic Empowerment & Actionable Change Using Data-Driven Storytelling

Graph Data Science

What’s the ROI of a Graph Technology Investment?

GenAI
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2025: Year of AI and Scalability