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

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Lean Graph Data Models Drive Fast Innovation: A Fireside Chat with David Fox, Senior Software Engineer at Adobe

Learn about Neo4j Bloom, a data visualization tool

Graph visualization

Neo4j Is in Bloom Everywhere This Spring

Learn how Previa is using Neo4j to reimagine health care.

How Previa is reimagining healthcare

Financial Fraud Detection with Graph Data Science: Identifying First-Party Fraud

Catch this week's GraphCast: Getting Started with Arrows

#GraphCast: Getting Started with Arrows

How the Professional Services Team at Neo4j built an enterprise knowledge graph.

Discovering hidden skills with an enterprise knowledge graph

Learn about Spring Data Neo4j RX.

Spring Data Neo4j RX 1.0 is now available

Learn about graph-related projects for COVID-19 and how to get involved.

Graphs and the strategic response efforts to COVID-19

Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering

Check out this year's Graphs4Good GraphHack projects.

Check Out Some of This Year’s Graphs4Good GraphHack Projects

Financial fraud detection with Graph Data Science: Augment your approach

Catch this week's GraphCast: A brief explainer of the unlimited scalability features in Neo4j 4.0

News

GraphCast: Unlimited scalability with Neo4j 4.0