embeddings

Generate embeddings for text input

Generate vector embeddings from input text.

This endpoint converts text into high-dimensional vector representations that capture semantic meaning. These embeddings preserve semantic relationships between texts and can be used for various machine learning tasks.

Notes:

  • Empty strings or arrays are not accepted
  • Results include index numbers for mapping back to original inputs
  • All embeddings are generated as query vectors. If the embeddings have two modes (e.g., query and document), this endpoint only returns query vectors.
post/v1/embeddings

Request body

modelstring

Model identifier or alias.

Response

Successfully generated embeddings

object'list'

The type of object returned

model'private-gpt'

The model used to generate embeddings

Changes