Neo4j Blog

Predictive systems, like recommendation systems, have become an extremely important source of new revenue growth and have proven to improve user stickiness. Because of their direct impact on top-line revenue through the organic use of enterprise data, recommendation systems are being... read more

We’re happy to share recent improvements to the Neo4j Graph Algorithms library. These updates include optimizations at several layers, improved configuration and usability, as well as specific feature requests. A big "thank you" to those who provided suggestions on how to better serve... read more

This week we preview the Knowledge Graph talks at the NODES 2019 conference and we learn how to do sentiment analysis with Neo4j and GCP NLP. Stefan Dreverman continues his series on building questionnaires using Neo4j, Max De Marzi builds a property graph, and there’s a paper... read more

"I got a fairly big data set, around 2 gigabytes, and I created the same kind of relationships in SQL Server and in Neo4j. When I got the results back, that was a wow moment,” said Dee Pandian, Deputy Director of CyForce at Jacobs Engineering. In this week's five-minute interview... read more

Neo4j is a global company with a global community. One of the biggest benefits of this, is that we have a community that’s diverse in cultures, native languages, and beliefs, whom all share a common love for graphs and connected data. While it's amazing to have people from all around the... read more

Editor’s Note: This presentation was given by Amy Hodler at GraphTour San Francisco in May 2019. Presentation Summary In an everlasting race to achieve technological advancement, many companies are looking at artificial intelligence (AI) and machine learning (ML) as the next big step toward... read more