Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

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

Vector RAG vs. GraphRAG: Which retrieval do you need?

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

Independent study: GraphRAG makes AI agents 80% more truthful

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

How the Professional Services Team at Neo4j built an enterprise knowledge graph.

Discovering hidden skills with an enterprise knowledge graph

Learn about Spring Data Neo4j RX.

Spring Data Neo4j RX 1.0 is now available

Learn about graph-related projects for COVID-19 and how to get involved.

Graphs and the strategic response efforts to COVID-19

Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering

Check out this year's Graphs4Good GraphHack projects.

Check Out Some of This Year’s Graphs4Good GraphHack Projects

Financial fraud detection with Graph Data Science: Augment your approach

Catch this week's GraphCast: A brief explainer of the unlimited scalability features in Neo4j 4.0

News

GraphCast: Unlimited scalability with Neo4j 4.0

Learn everything you need to know about Neo4j for Graph Data Science.

Announcing Neo4j for Graph Data Science

Learn about Deep Tensor, a graph AI technologies solution.

Machine learning

Fujitsu Laboratories of America partners with Larus to provide enhanced graph AI technologies to Neo4j customers

Check out this 5-minute interview about Neo4j Bloom.

Graph visualization

See your graphs in Bloom: The 5-minute interview with Anurag Tandon, Neo4j

Detecting cryptocurrency fraud with Neo4j

Meet Keith Hare, Neo4j's newest team member.

Q+A with Keith Hare: Newest Neo4j team member, active in the database query standards process since 1988