Embeddings - openai.Embedding.create()

https://beta.openai.com/docs/api-reference/embeddings

 

Embeddings

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.

기계 학습 모델 및 알고리즘에서 쉽게 사용할 수 있는 주어진 입력의 벡터 표현을 가져옵니다.

 

Related guide: Embeddings

 

 

Create embeddings

POST https://api.openai.com/v1/embeddings

Creates an embedding vector representing the input text.

입력 텍스트를 표현하는 embedding 벡터를 만듭니다.

 

 

Request body

model

string

Required

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.

사용할 모델의 ID입니다. 모델 목록 API를 사용하여 사용 가능한 모든 모델을 보거나 모델 개요에서 설명을 볼 수 있습니다.

 

 

input

string or array

Required

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.

문자열 또는 토큰 배열로 인코딩된 임베딩을 가져올 입력 텍스트입니다. 단일 요청에서 여러 입력에 대한 임베딩을 가져오려면 문자열 배열 또는 토큰 배열 배열을 전달합니다. 각 입력은 길이가 8192 토큰을 초과할 수 없습니다.

 

user

string

Optional

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

OpenAI가 남용을 모니터링하고 탐지하는 데 도움이 될 수 있는 최종 사용자를 나타내는 고유 식별자입니다. 더 알아보기.