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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

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

Using Neo4j Fabric for scalable fraud detection on graphs

PwC Canada Graphie Award Winner

Graphie pioneer in AML, fraud, and cybersecurity: 5-minute interview with PwC Canada

Jim Webber with Dr. Edgar Osuna: Using graphs to take down fraudsters

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]

Learn How First-Party Bank Fraud Detection Can Be Improved with Graph Database Technology

Improving first-party bank fraud detection with graph databases

Learn How the ICIJ Used Neo4j and Linkurious to Unravel the Swiss Leaks Story and Expose HSBC Fraud

How the ICIJ unraveled HSBC fraud using Neo4j & Linkurious

Explore All of the Great Articles & Videos Created by the Neo4j Community in the Month of September

Graph database

From the Neo4j community: September 2015

Developer

What 40 AI Agents Revealed About the Future of Graph Intelligence

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

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