Vstdms (2024)

In the context of modern AI, "Vector" refers to embeddings—mathematical representations of unstructured data like text, images, or audio. Traditional databases are terrible at searching these efficiently. VSTDMS incorporates native vector search capabilities (similar to specialized vector databases) to allow for semantic searching.

Traditionally, companies have stored spatial data (GIS), temporal data (time-series logs), and vector data (embeddings for AI) in completely separate silos. A VSTDMS unifies these disparate elements into a single, queryable interface. It allows organizations to ask complex questions that span multiple dimensions, such as: vstdms