Neo4j Blog

All great things come in pairs: Peanut butter and jelly (or jam, for our international readers) Fish and chips Gin and tonic Simon and Garfunkel And the list goes on... Well, for some time now, Neo4j Bloom has been a great companion to Neo4j Graph Data Science. For example,... read more

I was 11 years old when Harvey Milk gave his famous “Hope” speech on the steps of San Francisco City Hall on Gay Pride Day 1978. I became aware of Milk five months later when he was assassinated – along with San Francisco mayor George Moscone – by Dan White. That was probably the... read more

Back in January, we previewed Neo4j AuraDS and Google Cloud Vertex AI’s partnership and demonstrated how you can build and deploy graph-based machine learning models. AuraDS is graph data science as a service now running as a managed service on top of GCP.   With the Neo4j Graph... read more

A tremendous amount of database science is devoted to the fine art of “normalization” – making your data easier for their databases to digest. Time to ask yourself: Who does normalization actually serve? Graph computing solves problems. It solves them by modeling those problems using... read more

We would like to officially invite you to our GraphSummit Series! It kicks off in Paris this summer, with stops in London, Sydney, and lots of places in between, before wrapping up in Copenhagen this fall. Needless to say we’re really happy to be back on the road across Europe and... read more

In January, we previewed Neo4j’s and Google Cloud Vertex AI’s partnership in a blog about how you can use graphs for smarter AI when using Neo4j AuraDS to generate graph embeddings. That blog post garnered a lot of attention from data scientists looking to amplify their machine... read more