Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

Move from fragmented data to connected intelligence, for better detection, deeper investigations, and defensible decisions.

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

Context graph diagram illustrating decision traces for AI agents

Agentic AI

What are decision traces in a context graph? How they reveal agentic reasoning

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

Approximate maximum k-cut with Neo4j Graph Data Science

AFNOR and the Innovation Lab

Graph Data Science

Stéphane Delysee: How AFNOR found success with Neo4j’s Innovation Lab

Q3 News Coverage

GenAI
News

Neo4j in the news – end of summer edition: Explainable AI, democratizing coding, and space junk

AuraDB

The journey to cloud: Implementing AuraDB at Boston Scientific

Cypher sleuthing: Dealing with dates, part 5 – APOC

GDS 1.7

What’s new with Graph Data Science: GDS 1.7 release

Kafka for Neo4j AuraDB is available now

Developer

Introducing the new GraphAcademy

Catch this week's GraphCast: 8 tips to help you decide if knowledge graph is right for you.

Knowledge graph

GraphCast: 8 tips to decide if knowledge graph is right for you

Developer

Java 17: Explore the newly-released Java version in a graph database!

News

Nominate your fave Graph superstar for a Graphie Award

Data Modeling

Put data modeling on the table