Vector databases unlock the insights buried in complex data including documents, videos, images, audio files, workflows, and system-generated alerts. Here’s how.

This has brought new competition between specialty vector databases and general ... • To handle broad use cases—general purpose databases can store rich data types (JSON, text, numeric ...

As artificial intelligence reshapes marketing technology, vector search has emerged as a critical capability for 2025 data strategies. For marketing leaders, understanding how this technology ...

Vector databases, on the other hand, store and process data in the form of vector embeddings, which convert text, documents, images, and other data into numerical representations that capture the ...

A Vector DB stores and manages unstructured data — text, images, audio, etc. — as vector embeddings (numerical format). These embeddings capture the semantic relationships between the data points.

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 leading ...

A vector is a numerical value that represents key features of unstructured data such as text, images or audio. The closer two vectors are to each other in space, the more likely the data they ...

Monte Carlo Data’s observability-centric updates, particularly support for popular vector databases, come at a time when enterprises are going all in on generative AI.

Briefly, in nearest centroid classification, the vector centroids (also called means or averages) in the training data are computed for each of the classes to predict. To classify a data item, the ...