Vector search finds items by closeness in meaning, and a vector database stores those representations and returns similar results fast.
How to use the term
What to read alongside
This term is worth reading together with the neighbouring concepts in its section and the Gravity AI launch scenarios it belongs to.
Glossary section
The architecture patterns behind search by meaning, answers grounded in store data and the quality of the top results in the list.
What it is
Vector search finds items by closeness in meaning, and a vector database stores those representations and returns similar results fast.
Example in ecommerce
That is how open-ended queries such as "a gift for a man who runs in winter" still surface products and catalog fragments.
Business impact
Delivers more relevant results for complex, unstructured queries, especially across a large assortment.
We will show which scenario to start with, how to tie it to metrics and where measurable results come fastest.