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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

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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

Learn more about native user database security and access control in Neo4j Enterprise Edition

Native user security & access control in Neo4j Enterprise [Security Series, Part 2]

Learn all about the latest 1.2 release of the Neo4j drivers

Public service announcement: Neo4j drivers 1.2 release

April is APOC Awareness Month – Publish and be rewarded

The APOC spring release

If you're reading this about Neo4j, then you've been fooled. Happy April Fools' Day 2017!

Emil Eifrem

We’re finally upgrading our product name, and it’s exactly what you think

Catch this week’s 5-Minute Interview with Peter Walker, Project Manager at Cisco

Graph database

The 5-minute interview: Peter Walker, project manager at Cisco

Watch Anders Ekström and Kent Lovestjärnaan's presentation optimizing business performance through digitalization

Digitalization & optimizing business performance at Hästens

Learn how to implement and managed role-based access control in Neo4j Enterprise Edition

Role-based access control in Neo4j Enterprise Edition [Security Series, Part 1]

Catch this week’s 5-Minute Interview with Clark Richey, CTO and Co-Founder at Factgem

Developer

The 5-minute interview: Clark Richey, CTO & co-founder of FactGem

Check out how jQAssistant obtains software analytics on connected software repositories

Pushing the evolution of software analytics with graph technology

Watch Tilo Walter's presentation on how to harness graphs to build new business connections

The impact of graph-powered business leader social networks

Find out how Kale Yazilim successfully integrated its legacy data into the Neo4j graph database

Graph-specialized ETL: Taking citizens into the graph and keeping it up to date