Jiniu AIJiniu AI
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Embeddings

Native Gemini format

Create embeddings with the specified engine or model

POST
/v1/engines/{model}/embeddings

Path Parameters

model*string

Model / engine ID

Request Body

application/json

model*string

Model name; must match the identifier in the model catalog exactly

input*string|

Text to embed

encoding_format?string

Embedding encoding format: float or base64

Default"float"
Value in"float" | "base64"
dimensions?integer

Output embedding dimensions

Response Body

application/json

curl -X POST "https://jiniu.ai/v1/engines/string/embeddings" \  -H "Content-Type: application/json" \  -d '{    "model": "text-embedding-ada-002",    "input": "string"  }'
{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [
        0
      ]
    }
  ],
  "model": "string",
  "usage": {
    "prompt_tokens": 0,
    "total_tokens": 0
  }
}