Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Context graphs: Why AI agents need three types of memory

What is AI-ready data? How a knowledge layer gets you there

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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

Check out this week's GraphCast with Current.

GraphCast: Current leverages Neo4j for a modern banking approach

Watch this webinar on graphs in banking, featuring use cases on fraud detection, IAM and MDM.

Graphs in banking: Integration with AI & machine learning [Video]

Developer

What 40 AI Agents Revealed About the Future of Graph Intelligence

Introducing Neo4j Virtual Graph: Graph reasoning on the data you already have

APRA just put the financial sector on notice over AI. Government agencies need to take notes.

APRA just put the financial sector on notice over AI. Government agencies need to take notes.

Architecting graph-based agentic system: When a regulator asks “Why was this loan approved?”

Architecting graph-based agentic system: When a regulator asks “Why was this loan approved?”

Expensive AI models may sound smart, but without context, they don’t actually understand your business. It’s Ferris Bueller’s Ferrari with nowhere to drive. All engine. No roads.

The context gap: Why your smart-sounding AI struggles to reason

Beyond the lakehouse: Why your Microsoft Fabric strategy needs Neo4j graph intelligence

Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect fraud faster with a transaction graph

Fighting financial fraud with graph technology

Fighting financial fraud with graph technology

Cypher and the cipher manuscript

Graph analytics applications and use cases