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

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Fraud detection

7 reasons why effective compliance management is only possible with a graph-based solution

Graph-powered recommendations: Hybrid scoring and Graph Data Science

Learn about the three new Neo4j online training courses.

Announcing New Neo4j Online Training Courses!

Creative use of network science with Graph Commons

Learn about analytical subgraph overlays in Neo4j.

Analytical subgraph overlays in Neo4j

Graph-powered recommendations: A framework for faster development

Graph visualization

Unlimited possibilities: 5-minute interview with David Mohr

Learn how automotive and manufacturing industries use Neo4j for supply chain management and customer 360.

Graphs in automotive and manufacturing: Unlock new value from your data

Catch this week's GraphCast: Graphs4Good Community Effort to Fight COVID-19 with Knowledge Graph

GraphCast: Graphs4Good knowledge graph to fight COVID-19

Save your spot for NODES 2020, coming this October.

Neo4j Online Developer Expo & Summit is back!

Empower your data projects with Apache Zeppelin and Neo4j.

Cypher & GQL

Empower data projects with Apache Zeppelin & Neo4j

Graph-Powered Recommendations: Instantly Evaluating Relationships