init(input:model:encodingFormat:user:)
EmbeddingsQuery.swift:25init(input: Self.Input, model: Model, encodingFormat: Self.EncodingFormat? = nil, user: String? = nil)
init(input: Self.Input, model: Model, encodingFormat: Self.EncodingFormat? = nil, user: String? = nil)
s6OpenAI15EmbeddingsQueryV5input5model14encodingFormat4userA2C5InputO_SSAC08EncodingH0OSgSSSgtcfc
What are these?8WRJ4
import OpenAI
struct EmbeddingsQuery
enum Input
typealias Model = String
Defines all available OpenAI models supported by the library.
enum EncodingFormat
@frozen struct String
A Unicode string value that is a collection of characters.
init(from decoder: any Decoder) throws
let encodingFormat: Self.EncodingFormat?
The format to return the embeddings in. Can be either float or base64. https://pypi.org/project/pybase64/
let input: Self.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.
let model: 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. https://platform.openai.com/docs/api-reference/models/list https://platform.openai.com/docs/models/overview
let user: String?
A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids
enum CodingKeys