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

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

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's graph database can be used to create knowledge graphs, which capture and connect explicit relationships between entities, enabling AI systems to reason, infer, and retrieve relevant ...

Neo4j Inc. and Microsoft Corp. announced a collaboration today to integrate graph database features into Microsoft’s Fabric and Azure OpenAI services, with an aim to help users uncover patterns ...

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 ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

New techniques make graph databases a powerful tool for grounding large language models in private data.

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