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

Learn how your Neo4j project could be recognized with a Graphie Award at GraphConnect 2020.

The Graphie Awards: What They Are & How to Win One at GraphConnect 2020

The future of the intelligent application: Why graph technology is key

Graph database

This week in Neo4j – Reducing visualization complexity, BloodHound 3.0, Gene Regulation Graph Database, Pokemon Day, 4.0 webinar, GraphTour Europe developer campfire talks

Relationships mean retention: The 5-minute interview with Realogy’s Neerav Vyas

Learn about performant queries on highly connected data.

Performant queries on highly connected, growing data

Graphs are everywhere, including Pokémon.

Pokégraph: Gotta Graph ‘Em All!

Learn about sharding the LBDC social network.

Sharding the LDBC Social Network

Watch this quick demo of migrating from Neo4j 3.5 to 4.0.

Cypher & GQL

GraphCast: Migrating from Neo4j 3.5 to 4.0

Learn about ontologies in Neo4j.

Ontologies in Neo4j: Semantics and knowledge graphs

Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware

Learn how to use Neo4j in business process modeling scenarios.

Part 1: Using Neo4j in Business Process Modeling Scenarios

Learn how Nordstorm used Neo4j to personlize recommendations.

Personalized product recommendations at Nordstrom