Skip to main content
POST
/
v1
/
engines
/
{model}
/
embeddings
Gemini 嵌入(Embeddings)
curl --request POST \
  --url https://api.tkhub.ai/v1/v1/engines/{model}/embeddings \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "text-embedding-ada-002",
  "input": "<string>",
  "encoding_format": "float",
  "dimensions": 123
}
'
{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 123,
      "embedding": [
        123
      ]
    }
  ],
  "model": "<string>",
  "usage": {
    "prompt_tokens": 123,
    "total_tokens": 123
  }
}

Authorizations

Authorization
string
header
required

使用 Bearer Token 认证。 格式: Authorization: Bearer sk-xxxxxx

Path Parameters

model
string
required

模型/引擎 ID

Body

application/json
model
string
required
Example:

"text-embedding-ada-002"

input
required

要嵌入的文本

encoding_format
enum<string>
default:float
Available options:
float,
base64
dimensions
integer

输出向量维度

Response

200 - application/json

成功创建嵌入

object
string
Example:

"list"

data
object[]
model
string
usage
object