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

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?

Welcome, GraphAware

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

Knowledge graph

Webinar spotlight: Knowledge graphs are hot!

Neo4j’s Emil Eifrem and FirstMark’s Matt Turck on the graph database explosion

The future of AI: Machine learning and knowledge graphs

Under The Hood

Pop open the top of graph technology with Neo4j under the hood

Graphie winner for supply chain excellence: 5-minute interview with OrbitMI

Cypher & GQL

GraphGist revue: Mapping the results of women’s alpine ski races

Graph embeddings: AI that learns from your data to solve problems

You want some join context? Neo4j has you covered

Exploring fraud detection with Neo4j & Graph Data Science – Part 4

Exploring fraud detection with Neo4j & Graph Data Science – Part 3

Exploring fraud detection with Neo4j & Graph Data Science – Part 2

Exploring fraud detection with Neo4j & Graph Data Science – Part 1