Neo4j blog

Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

Context graph diagram illustrating decision traces for AI agents

Agentic AI

What are decision traces in a context graph? How they reveal agentic reasoning

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

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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

Learn how to get started with Neo4j Fabric.

Cypher & GQL

Getting started with Neo4j Fabric

Discover what makes Neo4j the #1 graph database.

The secret sauce of Neo4j: Modeling and querying graphs

Rethink Your Master Data: The Limits of Relational Databases

Graph visualization

Graphs Everywhere: 5-Minute Interview with Jean Villedieu, Co-Founder of Linkurious

Learn how data analytics is empowered by graphs.

Graph Data Science

Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database

Learn how AstraZeneca is improving patient outcomes using graph visualization and queries.

Improving Patient Outcomes with Graph Algorithms

Discover everything you need to know about Neo4j 4.1 graph database release.

Introducing Neo4j 4.1

Rethink Your Master Data: Modern Master Data Management

Catch this week's GraphCast on how graph databases help with drug discovery for COVID-19 research

#GraphCast: Graphs Connecting COVID-19 Research

Graph visualization

Your World Seen Through Your Eyes with Neo4j Bloom

Graph-Powered Recommendations: Developing and Deploying Recommendations

Mind-Blowing Knowledge Graphs: 5-Minute Interview with Mayank Gupta, SVP of Data, LPL Financial