ID of the embedding model.

NV-Embed-QA and E5 models operate in passage or query mode, and thus require the input_type parameter. passage is used when generating embeddings during indexing. query is used when generating embeddings during querying. It is very important to use the correct input_type. Failure to do so will result in large drops in retrieval accuracy. As an alternative, it is possible to add the -query or -passage suffix to the model parameter like NV-Embed-QA-query and not use the input_type field at all for OpenAI API compliance. Please note that the GTE model does not accept the input_type parameter since both the query and passage are processed in the same way.

The format to return the embeddings in.

Specifies how inputs longer than the maximum token length of the model are handled. Passing START discards the start of the input. END discards the end of the input. In both cases, input is discarded until the remaining input is exactly the maximum input token length for the model. If NONE is selected, when the input exceeds the maximum input token length an error will be returned.

Not implemented, but provided for API compliance. This field is ignored.