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

Check out featured speakers to present at NODES 2020.

NODES

Top 10 speakers to look out for at NODES 2020

Learn how to fix your microservices architecture with graph analysis.

Fixing your microservices architecture using graph analysis

Connecting the molecules: 5-minute interview with Matthew Sellwood

See what community partners are looking forward to for NODES 2020.

NODES

How the global tech community is coming together for NODES 2020

Catch this week's GraphCast: FinCEN Files – How Banks Move Dirty Money around the World

GraphCast: FinCEN files – how banks move dirty money around the world

Learn how Elsevier employs Neo4j for COVID-19 research.

Elsevier boosts global COVID-19 research with Neo4j

Learn about chaos engineering with Neo4j.

NODES

Chaos engineering with Neo4j

ICIJ used Neo4j to analyze the FinCEN Files data, uncovering a vast network of money laundering.

Analyzing the FinCEN files with Neo4j

Predicting fraud: 5-minute interview with Marius Hartmann

Check out highlights of Chapter 1.

Graph Data Science

Introducing graph databases for Dummies

Discover how to build spatial search algorithms with Neo4j.

Building spatial search algorithms for Neo4j

Combating money laundering: Graph data visualizations