Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

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

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.

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

Neo4j ®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j's self-managed offering. Infinigraph enables Neo4j's ...

Building knowledge graphs from your data One key feature of Neo4j is the concept of the knowledge graph, linking unstructured information in nodes into a structured graph.

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.

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 ...