Glossary

What is Embeddings?

Embeddings are vectors that capture meaning, so similar text gets similar numbers.

Definition

Embeddings are numerical vectors that represent the meaning of text, so that passages with similar meaning have similar vectors.

How they are used

Each passage and each question is turned into an embedding; the closest passages are retrieved as candidates for an answer.

Multilingual embeddings

Multilingual embedding models, such as BGE-M3, let a question in one language find passages written in another.

See vector database.

Start with two weeks of evidence, not a sales call.

A fixed-price discovery sprint, credited against whatever comes next. Or write to sales@deepvox.ai.

Book a discovery sprint