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 ...

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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

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 ...

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 ...

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 ...

Many Web applications exist to provide access to copious amounts of data stored in a relational database, but what’s the easiest way to enable users to search through that data and find what they need ...