Struct Embeddings

pub struct Embeddings {
    pub data: Vec<Embedding>,
    pub model: String,
    pub usage: EmbeddingsUsage,
}

Fields

data: Vec<Embedding>

model: String

usage: EmbeddingsUsage

Implementations

impl Embeddings

pub async fn create( model: &str, input: Vec<&str>, user: &str, ) -> ApiResponseOrError<Self>

Creates an embedding vector representing the input text.

Arguments

• 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.
• input - Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.
• user - A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.

pub fn distances(&self) -> Vec<f64>

Trait Implementations

impl Clone for Embeddings

fn clone(&self) -> Embeddings

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<'de> Deserialize<'de> for Embeddings

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.