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 ...

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 ...

For example, the most popular relational database platforms are incorporating vector data types, specialized functions to process vector data, and indexing for vector data through inverted file (IVF) ...

There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave ...

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities. This wouldn’t be a Google announcement ...

The software also supports vector storage and search capability. Developers can use Azure OpenAI embedding application program interfaces to create embeddings and store them in the Neo4j database.