创建嵌入

POST

https://api.baicaigpt.com/v1/embeddings

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。

创建表示输入文本的嵌入向量。

请求参数

Header 参数

Body 参数application/json

示例

{
  "model": "text-embedding-ada-002",
  "input": "The food was delicious and the waiter..."
}

请求示例代码

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://api.baicaigpt.com/v1/embeddings' \
--header 'Authorization: Bearer baicai-xxxxxxxx' \
--header 'Content-Type: application/json' \
--data-raw '{
  "model": "text-embedding-ada-002",
  "input": "The food was delicious and the waiter..."
}'

返回响应

🟢200成功

application/json

Body

示例

{
    "object": "list",
    "data": [
        {
            "object": "embedding",
            "index": 0,
            "embedding": [
                0.0023064255,
                -0.009327292,
                0.015797347,
                -0.0077780345,
                -0.0046922187,
                0.014857634,
                -0.009835245,
                -0.03827428,
                -0.006838321,
                -0.02869936,
                0.025283376,
                0.018121233,
                -0.0036064684,
                -0.025537351,
                0.041068025,
                -0.017791064,
                -0.018603789,
                0.014552861,
                0.0104638375,
                -0.015327491,
                -0.019378418,
                -0.0028842222
            ]
        }
    ],
    "model": "ada",
    "usage": {
        "prompt_tokens": 8,
        "total_tokens": 8
    }
}

修改于 2024-06-15 16:06:49

创建图像

白菜GPT配合LobeChat搭建免费私人ChatGPT保姆级教程。