Neo4j Blog

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

An embedded database is a database used inside another company’s application, providing added value and functionality. It enhances the functionality of the “host” application, usually without the end user realizing they are engaging with the embedded database. In this blog series,... read more

Well, that’s a wrap! 2021 absolutely flew by, to say the least… Even in the endless wake of COVID and climate disasters, supply chain issues and political firestorms, the pace just did not relent in the graph database space. So we decided to take a look back at the last 12 months through... read more