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

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most recent

News

Neo4j in the news – winter edition: Neo4j growth, big data, and cybercrime

Graph layout done in 2D with Gephi.

Graph visualization

When graph meets big data: Obstacles and opportunities for visualization

Congratulations to Cerved and LARUS for winning the Digital 360 award for their Graph4You project

Congrats to Cerved and LARUS for winning the Big Data Analytics Award from Digital360

Watch or Read Steven Noel’s Presentation on How Graph Databases Can Protect against Cyber Attacks

Building a big data architecture for cyber attack graphs

Emil Eifrem

The Key to Understanding Big Data Lies with the Graph

Graph database

GraphConnect Europe: Managing connected big data in art with Neo4j

Graph database

GraphConnect Europe: Monitoring using ‘Big Data’ tooling

Developer

Using Apache Spark and Neo4j for big data graph analytics

Discover rich, graph-powered insights in your BigQuery data

Behind the scenes of creating the world’s biggest graph database

Learn about graph visualization for Neo4j using KeyLines

5 ways to tackle big graph data with KeyLines and Neo4j

Learn all about the new Spring Data Neo4j 5.0 release and the Object Graph Mapping (OGM) 3.0 release

News

A big step forward: Spring Data Neo4j 5.0 release