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

Explore the best Neo4j webinars from 2020, covering graph topics like AI, fraud detection and more.

The top 7 Neo4j webinars of 2020

Learn how to make very large updates in Neo4j.

Best practices to make (very) large updates in Neo4j

Get 10 project tips to drive your graph data science project to its production.

Graph Data Science

10 tips for a successful graph data science project

Graph data platforms: A brief introduction

Graph Data Science

Capgemini’s UK Graph Guild: 5-minute interview with Calum Chalmers

Graph algorithms for community detection & recommendations

Achieving a positive effect on payments, Transaction Monitoring and OPEX simultaneously is impossible without graph technology.

Financial services: The next evolutionary step is graph technology

Peformance tuning and troubleshooting the Neo4j BI Connector

Graph Data Science

The Neo4j BI Connector: Performance

Catch this week's GraphCast: a chat with Emil Eifrem about the future of graph database technology.

GraphCast: The Emil update

Learn more about graph data science.

Evolving your application of GDS technology

Learn more about how the GRANDstack makes handling complex data easy.

How the GRANDstack makes handling complex data easy

Check out the winners of this year's Neo4j Graphies.

Announcing the 2020 Neo4j Graphie Award winners