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

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

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 ...

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

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.

Developers can implement Azure Data Factory to ingest data from OneLake into Neo4j, extract data from Synapse Data Warehouse using the Neo4j data warehouse connector, run Graph Data Science algorithms ...

Eifrem and Neo4j’s story and insights are interesting because through them we can trace what is shaping up to be a foundational technology stack for the 2020s and beyond: graphs.

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

Enterprises that want to use powerful graph algorithms to discover relationships hidden in their data now have an easier path to get there thanks to the new data science library unveiled today by ...

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