文本向量化
POST
/v1/embeddings
Embedding
请求示例请求示例
Shell
JavaScript
Java
Swift
cURL
curl --location --request POST 'https://router.shengsuanyun.com/api/v1/embeddings' \
--header 'HTTP-Referer: https://www.postman.com' \
--header 'X-Title: Postman' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "ali/text-embedding-v3",
"input": [
"如何使用torchserve部署模型",
"怎么使用训练机器学习模型"
]
}'响应示例响应示例
200 - 请求成功
{
"id": "202504101500559418281XA86wFOO",
"provider": "Ali",
"model": "ali/text-embedding-v3",
"object": "list",
"created": 1744268455,
"data": [
{
"object": "embedding",
"index": 0,
"embedding": [
-0.01420350931584835,
-0.009542533196508884,
-0.046993378549814224,
0.0012923178728669882,
-0.03646302595734596,
...
]
},
{
"object": "embedding",
"index": 1,
"embedding": [
-0.06518170237541199,
-0.04570785164833069,
-0.06909951567649841,
-0.02899952046573162,
-0.07002135366201401,
...
]
}
],
"usage": {
"prompt_tokens": 13,
"total_tokens": 13
}
}请求参数
Header 参数
HTTP-Referer
string
可选
示例值:
https://www.postman.com
X-Title
string
可选
示例值:
Postman
Body 参数application/json
返回响应
修改 于 2025-04-17 07:54:33