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 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, ...

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI ...

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

/PRNewswire/ -- Neo4j®, a Graph Database and Analytics leader, announced a collaboration with Microsoft to deliver a unified data offering that addresses ...

Neo4j’s namesake database technology enables organizations to create a knowledge graph of information to better understand relationships across data and content.

Knowledge graphs are of particular interest and are typical use cases for Neo4j. When you store connected data in Neo4j and add context to it, it becomes much more valuable. For ex - take the case of ...

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

Graph technology is finding uses in all branches of science and technology and, courtesy of NASA, we can add rocket science to the list.