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 ...

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, ...

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.

Well, something to consider is partial text searches. I assume if they type something that shows up in one rows name column and another rows address column you want to return both reults, right? This ...

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 ...

Redgate Software is further developing its SQL Search tool to integrate with Microsoft SQL Operations Studio. SQL Search is a popular tool Redgate developed and the version for SQL Server Management ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

At Microsoft's Ignite digital event this week, the company is announcing the private preview of SQL Server 2022, the next version of its three-decades-old relational database management system (RDBMS) ...