Creates an embedding vector from the input text.

post

https://ai.api.nvidia.com/v1/retrieval/snowflake/arctic-embed-l/embeddings

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Body Params

model

string

enum

ID of the embedding model.

Allowed:

input

required

Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings. The input must not exceed the max input tokens for the model (512 tokens) and cannot be an empty string.

input_type

string

enum

Defaults to passage

This model 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.

Allowed:

encoding_format

string

enum

Defaults to float

The format to return the embeddings in

Allowed:

truncate

string

enum

Defaults to NONE

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.

Allowed:

Responses

200Invocation is fulfilled

202Result is pending. Client should poll using the requestId.

422Validation failed, provided entity could not be processed.

500The invocation ended with an error.