Neo4j Blog

By Sixing Huang, Derek Ding, Emil Pastor, Irwan Butar Butar, and Shiny Zhu Supported by Maruthi Prithivirajan, Joshua Yu, and Daniel Ng from Neo4j Big data, machine learning, cloud, and graph databases are transforming the healthcare industry. A vast amount of relation-rich medical data is... read more

This first real Twin4j of 2022 again covers a wide range of topics we think will be interesting to you. Are you wondering what's the most fun way to get your data in Neo4j? If you ask Samuel Longley, he will tell you ETL is the way to go and has started a blog series to prove his point.... read more

Last year's NODES event concluded with the enigmatic Jim Webber – Neo4j's Chief Scientist and CTO – interviewing a series of graph devotees, users, customers, and community members. Interviewees included a risk modeling scientist, a civic tech practitioner, and a software... read more

Whether you're already in full swing working on your first project in 2022 or are just getting started, we have a few reading recommendations from the Neo4j blog sphere of 2021. In this second round of highlights we go into the Pandora Papers, some Knowledge Graphs, and Graph Data... read more

In this blog post, we’re going to show you how to use two technologies together: Google Cloud Vertex AI, an ML development platform, and Neo4j, a graph database. Together, these technologies can be used to build and deploy graph-based machine learning models. The code underlying this blog... read more

Editor’s note: This presentation was given by Jim Webber at Connections: Knowledge Graphs for Transformation. As Neo4j's chief scientist, I have been working on a report on knowledge graphs, and one of the things that really captured my interest in writing this report was the notion of... read more