A vector embedding search is an advanced way of finding information by comparing the "meaning" of your search with the meaning of items in a database. 
Instead of matching exact words, it uses artificial intelligence to turn text into mathematical vectors that represent their content and context. 
The search then finds items whose vectors are most similar to your query, often finding relevant results even if they use different words or phrasing.

— Try using sentences, phrases, or even paragraphs in the Lex Cygnus Search App today. Now available on the App Store and Google Play.