Create embeddings
Embed up to 96 texts with the same self-hosted model that indexes memories, so your own vector features live in the exact representation Conare retrieves with.
- Stateless: nothing is stored, and no
endUserIdis involved. - Vectors are unit-normalized and returned in input order; each input is at most 8,192 characters. Metered as embed tokens (~4 characters per token).
modelis a pin, not a selector: the endpoint serves exactly one model (named in every response), and any other name is a400(model_not_served). Pin it whenever vectors must stay compatible with an existing index.
Authorizations
A scoped Integration key, prefixed cint_. Send as
Authorization: Bearer cint_... on every request. Server-side only.
Legacy personal cmem_... keys remain accepted during migration;
team/org-scoped cmem_... keys are not valid on this API.
Body
Texts to embed, each at most 8192 characters.
1 - 96 elements1 - 8192Optional pin on the expected embedding model. The endpoint serves exactly one model; naming any other is a 400 (model_not_served), never a silent substitution.
1Response
One vector per input, in input order.