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

Machine learning

Achieve unrivaled speed and scalability with Neo4j

A comprehensive guide to Cypher map projection

Exploring the European natural gas network as a knowledge graph

Graphs for cybersecurity: Introduction

Women in Knowledge Graphs

Knowledge graph

Meet the women leading innovation in knowledge graphs

Knowledge graph

Neo4j under the hood: Application-database model mismatch

Bloom scene actions – A different way to interact with your graph

Developer

Neo4j DevTools “It’s finally spring here” release

Fraud detection: Finding the needle in a haystack with knowledge graphs

Demo: Building intelligent supply chain application with Neo4j

Cybersecurity: To graph or not to graph. That is the query.

Developer

Handling authentication and identity with Neo4j and Auth0