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mistral_openapi_client/models/
embedding_response_data.rs

1/*
2 * Mistral AI API
3 *
4 * Our Chat Completion and Embeddings APIs specification. Create your account on [La Plateforme](https://console.mistral.ai) to get access and read the [docs](https://docs.mistral.ai) to learn how to use it.
5 *
6 * The version of the OpenAPI document: 1.0.0
7 * 
8 * Generated by: https://openapi-generator.tech
9 */
10
11use crate::models;
12use serde::{Deserialize, Serialize};
13
14#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
15pub struct EmbeddingResponseData {
16    #[serde(rename = "object", skip_serializing_if = "Option::is_none")]
17    pub object: Option<String>,
18    #[serde(rename = "embedding", skip_serializing_if = "Option::is_none")]
19    pub embedding: Option<Vec<f64>>,
20    #[serde(rename = "index", skip_serializing_if = "Option::is_none")]
21    pub index: Option<i32>,
22}
23
24impl EmbeddingResponseData {
25    pub fn new() -> EmbeddingResponseData {
26        EmbeddingResponseData {
27            object: None,
28            embedding: None,
29            index: None,
30        }
31    }
32}
33