相似度计算

开发中

POST

/v1/semantic_similarity

根据输入一条查询内容和一组内容，计算待查询内容和这组内容里每一条的相似度

请求参数

Header 参数

Body 参数application/json必填

示例

{
  "query":"你好",
  "text":["你好"],
  "model":"semantic_similarity_s1_v1"
}

请求示例代码

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://api.360.cn/v1/semantic_similarity' \
--header 'Authorization: Bearer {{YOUR_API_KEY}}' \
--header 'Content-Type: application/json' \
--data-raw '{
  "query":"你好",
  "text":["你好"],
  "model":"semantic_similarity_s1_v1"
}'

返回响应

🟢200成功

application/json

Body

示例

{
  "data": [
    {
      "index": 0,
      "input_text": "你好",
      "score": 2.494140625
    }
  ],
  "model": "semantic_similarity_s1_v1",
  "object": "",
  "usage": {
    "prompt_tokens": 2,
    "total_tokens": 2
  }
}

修改于 2026-01-30 08:17:04

模型详情

ErrorResponse