Create Embeddings

Creates embeddings from text in Perplexity.

POST

Query

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

string

Comma-separated response fields to include.

Body

Arguments

stringrequired

Input text to embed. Perplexity also accepts arrays of strings; this action currently models the common single-input path.

stringrequired

Embedding model to use.

Uncommon arguments

number

Optional output embedding dimensions.

string

Output encoding format, for example base64_int8 or base64_binary.

Try this request

Request

curl --request POST \
  --url "https://connect.mindcloud.co/v1/universal/perplexity/latest/actions/create-embeddings" \
  --header "Authorization: Bearer $MINDCLOUD_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
  "connectionId": "$CONNECTION_ID",
  "input": "",
  "model": ""
}'

{
  "success": true,
  "data": [
    {
      "data[]": {
        "embedding": "string",
        "index": 1,
        "object": "string"
      },
      "model": "string",
      "object": "string",
      "usage": {
        "prompt_tokens": 1,
        "total_tokens": 1
      }
    }
  ],
  "meta": {}
}

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