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

How knowledge graphs have transformed the supply chain industry during COVID

Bloom 2.0

Introducing Neo4j Bloom 2.0 – the fastest path to graph data visualization

Integrating graph data visualizations into no-code workflows with Bloom 2.0

Neo4j as an embedded database: Understanding embedding and graph databases

Graph Data Science

Evolving an enterprise with graph technology

Digging into the ICIJ Pandora Papers dataset with Neo4j

NODES

Jim Webber with Matthias Sieber: Teaching Neo4j to make the world a better place

Developer

How to build a Neo4j application with Node.js

Neo4j 4.4

Neo4j 4.4 – The fastest path to graph database productivity, generally available

News

The results are in: Here are this year’s Graphie award winners

Graph Data Science

What’s the ROI of a graph technology investment?

Discover AuraDB Free: Week 14 – consumer complaints database