Input
EmbeddingsQuery.swift:37enum Input
enum Input
import OpenAI
struct EmbeddingsQuery
case string(String)
case stringList([String])
case intList([Int])
case intMatrix([[Int]])
init(from decoder: any Decoder) throws
init(input: Self.Input, model: Model, encodingFormat: Self.EncodingFormat? = nil, user: String? = nil)
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
enum EncodingFormat
protocol Decodable
A type that can decode itself from an external representation.
protocol Encodable
A type that can encode itself to an external representation.
protocol Equatable
A type that can be compared for value equality.
init(from decoder: any Decoder) throws
init(intList: [Int])
init(intMatrix: [[Int]])
init(string: String)
init(stringList: [String])
func encode(to encoder: Encoder) throws
static func != (lhs: Self, rhs: Self) -> Bool
Returns a Boolean value indicating whether two values are not equal.