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

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

Graph database vendor Neo4j announced today new capabilities for vector search within its graph database. Neo4j’s namesake database technology enables organizations to create a knowledge graph ...

Neo4j brings complex graph algorithms to Snowflake natively, enabling customers to create knowledge graphs and generate vectors based on structured, unstructured, and relationship data. Neo4j offers ...

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

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.

Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that ...

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, explained the basics of knowledge graphs and how they leverage natural-language processing to automate the ...

Neo4j is the most popular graph database, said Matt Aslett, a research director for data management and analytics at 451 Research.