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 ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

SQL Server 2025 gives developers new ways to work with text, JSON, real-time data changes and AI-ready vector data. Microsoft MVP Leonard Lobel explains why he considers it the most significant SQL ...

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.

Oracle is releasing the latest version of Oracle Trusted Answer Search to help close the gap between enterprise applications that already contain the right reports, workflows, and pages and the ...

March 2026 TIOBE Index stays largely steady, with SQL and R swapping spots, as Paul Jansen explains why the index still relies on search engine hits. March doesn’t bring a dramatic reshuffle at the ...