Vector Databases Explained for Non-Engineers

A vector database stores information as numerical representations of meaning, called embeddings, rather than as exact keywords.

This lets a search for "cancel my order" also match a document that says "how to end a subscription," even though the wording is completely different, because the two phrases are close in meaning.

Most of the AI search and chatbot projects we build rely on a vector database behind the scenes, and choosing one with the right balance of speed, cost and scale is one of the first technical decisions we make.