向量-批量创建嵌入

主站接口

https://api.kwwai.top/v1

POST

/embeddings

最后修改时间：2025-06-21 07:53:46

获取给定输入的矢量表示，机器学习模型和算法可以轻松使用该表示。

请求参数

Authorization

在 Header 添加参数

Authorization

，其值为在 Bearer 之后拼接 Token

示例：

Authorization: Bearer ********************

Header 参数

Authorization

string

可选

示例值:

Bearer {{YOUR_API_KEY}}

Body 参数text/plain

示例

示例值:{ "input": [ "The food was delicious", "The waiter was friendly" ], "model": "text-embedding-3-large", "encoding_format": "float" }

示例代码

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://api.kwwai.top/v1/embeddings' \
--header 'Authorization: Bearer sk-s2SfI00pQXDYMXHWQclaK8Epf27Jb1vQch1zqKgEMUTBNTWf' \
--header 'Content-Type: text/plain' \
--data-raw '{
    "input": [
        "The food was delicious",
        "The waiter was friendly"
    ],
    "model": "text-embedding-3-large",
    "encoding_format": "float"
}'

返回响应

🟢200Create embeddings

application/json

Body

object

string

必需

data

array [object {3}]

必需

object

string

可选

embedding

array[number]

可选

index

integer

可选

model

string

必需

usage

object

必需

prompt_tokens

integer

必需

total_tokens

integer

必需

示例

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "embedding": [
        0.0023064255,
        -0.009327292,
        .... (1536 floats total for ada-002)
        -0.0028842222
      ],
      "index": 0
    }
  ],
  "model": "text-embedding-3-large",
  "usage": {
    "prompt_tokens": 8,
    "total_tokens": 8
  }
}

修改于 2025-06-21 07:53:46

向量-创建文本嵌入

文本生成