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

Watch this webinar on using graph database technology in the manufacturing and automotive industries

Graphs in automotive & manufacturing: Unlock new value from your data [Video]

Learn from Fan Li's presentation on how to solve global challenges for DuPont using graph databases.

Healthcare

Collaborative technology intelligence platform

Learn why Emil Eifrem believes context is essential for AI standards – both ethical and technical

Machine learning

Toward AI standards: Why context is critical for artificial intelligence

Glad midsommar from Neo4j!

News

GraphCast: Glad midsommar!

Check out this webinar on graph algorithms’ impact on the landscape of intelligent applications.

Improving machine learning predictions using graph algorithms [Video]

Learn from Peng Sun's presentation on accelerating digital transformations with Neo4j.

Accelerating digital transformation at CA Technologies with Neo4j

Discover the benefits of GKE and Neo4j.

GraphQL

Google Kubernetes Engine and Neo4j: Ease, power and flexibility

This week in Neo4j – Women’s World Cup graph, Bloom sandbox, exploring shell companies with graph algorithms

Check out this 5-minute interview with Michael Wytock, CEO of Conshx.

Graph visualization

Avoiding database JOINs: 5-minute interview with Michael Wytock

Learn how Hadoop must adjust to connecting big data.

From collections to connections: Where Hadoop adoption goes from here

Watch Hilary Mason's presentation on the present and future of artificial intelligence and machine learning.

The present and future of AI and machine learning

Learn about Google Kubernetes and Neo4j.

Graph Data Science

Google Kubernetes Engine and Neo4j: Power your apps with graphs