“A vector database organizes and stores vectors - numerical representations of words or phrases generated by LLMs - in a structured way,” explained Mark Nijmeijer, senior director of ...

The rise of generative AI and large language models (LLMs) has added even more fuel to this data explosion, directing our focus toward a groundbreaking technology: vector databases. As a vital ...

In an enterprise application, this hybrid capability of storing both vectors and tabular data provides developers with a flexibility that is not available in pure vector databases. While pure ...

MariaDB has recently released MariaDB Community Server 11.8 as generally available, its yearly long-term support (LTS) ...

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 ...

But what if there was a way to bridge this gap and make computers “understand” data more like humans do? Enter vector databases, a new solution designed to handle unstructured data in a way ...

But behind the headlines, 2022 brought an even more important development in AI: the rise of the vector database. While their impacts are less immediately obvious, the adoption of vector databases ...

server can significantly enhance how you manage and retrieve data. By using OpenAI’s file store and vector database capabilities, you can efficiently store conversations, files, and other ...

Today, PlanetScale, the well-funded MySQL database company founded by the co-creators of the Vitess open source project, announced that it is forking MySQL in order to add vector support — in ...

Learn More Data platform vendor DataStax is entering the vector database space, announcing the general availability of vector search in its flagship Astra DB cloud database. DataStax is one of the ...