Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a difficult ...

How many tennis balls could you fit in all of the skyscrapers in New York City? How many gummy bears could you fit in an airplane? How long would it take to fill the Mariana Trench with peanut butter?

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...

The world of the data professionals and DBAs is swirling with threats and risks, and those dangers are on the rise. You’re probably accustomed to using longstanding database fea­tures to secure your ...

Regardless of industry, businesses today collect scores of data from their customers. While this data can be acquired both intentionally and unintentionally, knowing what to do with that information ...

Developers can now leverage real-time data using standard ANSI SQL, with new functionality including elastic storage separated from compute, strict-serializability, active replication and horizontal ...

Last year during the TCT meeting, I was waiting to present a project that our team performed to study the impact of mental health disorders on the outcomes of patients admitted for cardiac disease.