Create Contextualized Embeddings

Creates contextualized 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

array of arrayrequired

Nested array of document chunks. Each inner array represents one document.

stringrequired

Contextualized embedding model to use.

Uncommon arguments

number

Optional output embedding dimensions.

Try this request

Request

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

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

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