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Models

BGE-M3 (Embeddings)

bge-m3 🇨🇭 Switzerland

BGE-M3 embeddings: turns a text into a vector of 1,024 numbers to search by meaning rather than by words, in more than 100 languages, also mixed. Input tokens only.

At a glance

PublisherBAAI
ArchitectureEmbeddings, 568 million parameters, vectors of 1,024 numbers
LicenceMIT
Runs in🇨🇭 Switzerland
StatusLoaded: the first request answers without a start-up wait. Live state on Status.
PriceCHF 0.02 input · CHF 0.00 output, per million tokens, excluding VAT. All prices

Use it

Turns text into vectors: see Embeddings and rerank.

Limits

  • A request goes only to the zones your key allows; if the model has no machine there now, a 503 names the zones. It is never sent elsewhere.

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