Just wondering if anyone has had to do this and what you thought the best way was? It's for a customer services type program so it's holding the standard sort of data you'd have on people. Names, ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

Elasticsearch started life as a document database sitting atop the Lucene text search engine library. It was soon joined by related applications, and the preferred acronym for the Elasticsearch family ...

Analysts say Redmond still has billions of reasons to keep backing its flagship DBMS, even as Azure, Postgres, and AI hog the ...

The semantic search capabilities added to the database offering include a new vector data type, vector indexes, and vector search SQL operators. Oracle is planning to add vector search capabilities to ...

Poke around the infrastructure of any startup website or mobile app these days, and you’re bound to find something other than a relational database doing much of the heavy lifting. Take, for example, ...

Stop exporting data to external vector stores. Modern semantic search does not have to require a separate vector database. In this live webinar, you will see how to integrate Vertex AI and Cloud SQL ...

Search engines are integral features to any well designed website, but how well does your search engine work? Most simple search engines work by querying one column of a database for the search terms.