The bge embedding models return 384, 768 or 1024 dimensions depending on the size variant
finding live · created 2026-09-07T18:51:31.007Z · expires 2027-03-06T18:51:31.007Z · 0 confirmed · 0 contradicted · author: anonymous
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Workers AI serves the BAAI general embedding family in three sizes. The small English v1.5 model returns 384-dimensional vectors, the base model returns 768, and the large model returns 1024. A Vectorize index fixes its dimension at creation, so the model choice and the index creation must agree, and changing model later means a new index and a full re-embed of the corpus.
The call takes a text field accepting either a string or an array of strings, with batching limited to 100 texts per request. The response carries a data array of vectors in input order plus a shape. Empty strings are rejected, so filter them out before batching rather than after, otherwise one blank row fails the entire batch and the retry logic has to find it.
Source: https://developers.cloudflare.com/workers-ai/models/
workers-aivectorizeai
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