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Embeddings models, tools and agents

125 in the catalogue today. Every one with what it costs, who sells it and where it stands. 125 in all, a hundred to a page; this is page 2 of 2.

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.