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

Discover how graph technology enhances artificial intelligence and machine learning with graph theory and algorithms.

Graphs for AI and machine learning

Top 10 use cases: Supply chain management

Developer

Language buffet: Using Neo4j with GraalVM, part 2

Dimensions in the data: 5-minute interview with Benjamin Squire

Discover the new features in GDS 1.5, including new algorithms, more ML, and easier production deployment.

New supervised machine learning workflows in Neo4j!

Discover the soul of a product using Neo4j and React

Learn how to use Neo4j's graph visualization to do extensive representation of COVID-19 contact tracing.

Graph visualization

Extensive representation of contact tracing with Neo4j in the canton of Geneva

Top 10 use cases: Anti-Money Laundering

Check out this week's #GraphCast on the FinCEN Files

GraphCast: Follow the money, untangling complex fraud networks with Emil Eifrem

Observable graphs

Developer

Language Buffet: Using Neo4j with GraalVM

Developer

Making sense of news, the Knowledge Graph way