Conditionally licensed embeddings models

14 in the catalogue today. Every one with what it costs, who sells it and where it stands.

Models that turn text into a vector so it can be searched by meaning rather than by words. They are cheap — usually cents per million tokens, and often priced for input only, since nothing comes back but numbers. Two things decide the choice: the dimension of the vector, which sets what your database will cost to hold, and whether the model was trained for your language. Changing model later means re-embedding everything you have.

Weights you can download, under a licence that asks for something in return: an acceptable-use policy, a naming requirement, a revenue ceiling above which you must ask, a restriction on training other models. The Llama and Gemma families are the familiar cases. Read the actual licence before you build on one of these — the condition is usually easy to meet and occasionally fatal, and which it is depends on your product rather than on the model.

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Conditionally licensed models Embeddings models