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.

At their most basic level, knowledge graphs are used to share information, as the basis for data management and governance and as a data fabric. Neo4j customer use cases tend to use knowledge ...

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 ...

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

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, ...