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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

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

Why public sector AI needs a workforce knowledge layer

Using agents to secure satellites’ supply chain systems

Using agents to secure satellites’ supply chain systems

Bolster your cybersecurity by visualizing attack graphs with Neo4j & G.V()

Unleashing the power of schema: What’s new in the Neo4j GraphRAG package for Python

Government

The most powerful fraud prevention tool for federal agencies: Graph technology

Graphs for cybersecurity: Knowledge Graph as digital twin

Graphs for cybersecurity: Cybersecurity policy and strategy

Graph algorithms for cybersecurity: A picture is worth 1,000 rows

Security

Graphs for cybersecurity: Cyberthreats, vulnerabilities, and risk

Graphs for cybersecurity: Introduction

Discover Neo4j AuraDB Free – Week 24: NYTimes article knowledge graph

News

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