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

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

Using this relationships-first approach, applications built with Neo4j tackle connected data challenges such as analytics and artificial intelligence, fraud detection, real-time recommendations and ...

NASA has been using graph database technology from Neo4j to help with cataloguing and making sense of the mountain of engineering knowledge data that space agency has collected over the last 60 years.

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

The project created a knowledge graph from the relevant documents using Neo4j’s Knowledge Graph Builder, with an LLM used to query its contents. “That can be done in a matter of minutes,” he ...