Embed Content

Generates text embeddings with a Gemini model in Google AI Studio.

POST

Body

Arguments

stringrequired

Required. Model endpoint token including suffix, for example gemini-embedding-001:embedContent.

objectrequired

Required content object to embed.

Uncommon arguments

string

Optional embedding task type.

string

Optional title used for retrieval document embeddings.

number

Optional reduced embedding dimension.

Field selectionChoose which fields should be included in the response. Learn more

string

Comma-separated response fields to include.

Try this request

Request

curl --request POST \
  --url "https://connect.mindcloud.co/v2/universal/apps/googleAIStudio/actions/embed-content/run" \
  --header "Authorization: Bearer $MINDCLOUD_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
  "arguments": {
    "model": "",
    "content": ""
  }
}'

{
  "success": true,
  "data": [
    {
      "embedding": {}
    }
  ],
  "meta": {}
}

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