Neo4j's Bryan Evans talks about the company's fraud detection strategy, based on a database of knowledge graphs, at AWS Financial Services Symposium.

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

An example knowledge graph exploration from Hetionet, an application created using Neo4j by UC San Francisco graduate student Daniel Himmelstein.

Neo4j Inc. and Microsoft Corp. announced a collaboration today to integrate graph database features into Microsoft’s Fabric and Azure OpenAI services, with an aim to help users uncover patterns ...

Join DTBA and graph experts Neo4j on Tuesday April 26th to discover why knowledge graphs are on the rise, how they work and what the most popular use cases are for enterprises.

Neo4j is the biggest, oldest, and most successful graph database company in the world. Its eponymous database is relied upon by thousands of organizations to store and expose data in a graph manner, ...

What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database ...

Knowledge graphs are well-suited to organizations with large data sets and where extracting knowledge often proves burdensome.

Today’s release introduces Neo4j Aura Professional as a tightly integrated graph database service via the Google Cloud Marketplace. As a self-service solution, Neo4j Aura Professional is designed for ...