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

Learn when using entity-based SEO strategies can give you an edge – and how to implement them without wasting effort.

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 ...

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

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 ...

Whereas the knowledge in the graph database is contained in the connections between labeled nodes, the knowledge in the LLM is contained in the human-generated text. So while graphs and LLMs may be ...

Lyft's "Amundsen" metadata system is an example of how knowledge graphs are spreading throughout companies with grass-roots projects. It's all part of winning hearts and minds, in the view of ...

Graph technology is finding uses in all branches of science and technology and, courtesy of NASA, we can add rocket science to the list.

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

It’s been two years since Neo4j launched the first release of Graph Data Science (GDS), the company’s first foray into graph data science. GDS was basically a plugin for Neo4j’s property graph ...