Neo4j Blog

Neo4j and Microsoft Azure are excited to bring you the most powerful, scalable, and secure graph data science technology with Neo4j AuraDS Enterprise, now available on Microsoft Azure in the Early Access Program. With this new partnership, data scientists can easily gain insights from their... read more

In this week's newsletter, check out "Full Stack GraphQL With Next.js, Neo4j AuraDB And Vercel," which serves as an additional chapter of sorts to William Lyon's book Full Stack GraphQL Applications on using GraphQL, React.js, and Neo4j. Also, try a quick tutorial on a new feature in Bloom to... read more

"Because of how we approach data in our platform and look at it from a developer-friendly way – and thinking of the data just as JavaScript objects – the traversal of graphs seemed like a natural pick for us. That's why we chose to go with Neo4j," says Arthur Zverko, Software Team Lead at... read more

AWS and Neo4j are offering scalable and intelligent tools to help data scientists quickly gain insights from their data. By adding graph algorithms and embeddings to ML pipelines, data scientists can now explore billions of data points in seconds, identify hidden connections, and generate... read more

This week's newsletter features a few articles on GPT (version intentionally omitted), reflecting its increasing use with knowledge graphs. "An Ensemble Chatbot for Healthcare," by Neo4j Ninja Sixing Huang and Hong Wang, describes how crowdsourcing chatbots can produce more accurate results. In... read more

Welcome to this week's roundup! Read on for info about upcoming free trainings, as well as several good articles. Try "What is Graph Data Science?" for a good point of departure to integrate graph data science techniques into your data science team. Another suggestion is "Ingesting Big Data into... read more