Neo4j Blog

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our content chief, Bryce Merkl Sasaki, highlighted an intro video on deploying the Neo4j graph database on Google Kubernetes Engine (GKE), which means more... read more

Managing digital assets and instance-level metadata is critical for many companies. For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library. Digital asset management (DAM) affects everything, from content availability to the analysis of... read more

Editor’s Note: This presentation was given by Max De Marzi at GraphConnect 2018 in New York City. Presentation Summary In this presentation, Max De Marzi shares how decision trees are used to make near real-time decisions using a graph database. In this case, he uses the unorthodox... read more

The idea of artificial intelligence (AI) has a long history. Loosely defined, AI is a solution or set of tools to solve problems in ways that mimic human intelligence. Usually its most practical goal is to make predictions – either classifying things (such as adding a label) or predicting a value... read more

This week Anurag Tandon shows us how to do graph exploration from the Bloom canvas, and Max De Marzi builds a procedure that computes parallel k-Hop counts. We also the release of a Scala Cypher DSL and a library that packages functionality for working with Neo4j and R. And Will Lyon and... read more

"Graphs have gone mainstream," said Dr. David Bader, School of Computational Science and Engineering Georgia Tech. When David Bader started working with graphs 25 years ago, it was a niche that required designing specific algorithms and even specific computers. Now the Neo4j graph database is... read more