Public Attributes
TArray< FString >	Input

FString	Model

FString	Encoding_Format {"float"}

FOptionalInt	Dimensions

FOptionalString	User

Member Data Documentation

◆ Dimensions

FOptionalInt FEmbeddings::Dimensions

The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.

◆ Encoding_Format

FString FEmbeddings::Encoding_Format {"float"}

The format to return the embeddings in. Can be either float or base64.

◆ Input

TArray<FString> FEmbeddings::Input

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 or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for text-embedding-ada-002), cannot be an empty string, and any array must be 2048 dimensions or less

◆ Model

FString FEmbeddings::Model

ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

◆ User

FOptionalString FEmbeddings::User

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

The documentation for this struct was generated from the following file: