Create embeddings (OpenAI-compatible)

POST

/oai/v1/embeddings

const url = 'https://dashboard.quantcdn.io/oai/v1/embeddings';
const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: '{"model":"amazon.titan-embed-text-v2:0","input":"example"}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

curl --request POST \
  --url https://dashboard.quantcdn.io/oai/v1/embeddings \
  --header 'Content-Type: application/json' \
  --data '{ "model": "amazon.titan-embed-text-v2:0", "input": "example" }'

Drop-in replacement for OpenAI’s POST /v1/embeddings. Accepts a single string or an array of strings in input and returns a list of embedding objects.

Authorizations

bearerAuth

Request Body^required

application/json

object

model

required

string

Example

amazon.titan-embed-text-v2:0

input

required

A string or array of strings to embed

Responses

200

A list of embedding objects

application/json

object

object

string

data

Array<object>

object

object

string

index

integer

embedding

Array<number>

model

string

usage

object

prompt_tokens

integer

total_tokens

integer

Example

{
  "object": "list",
  "data": [
    {
      "object": "embedding"
    }
  ]
}

401

Missing or invalid API key

403

Token not scoped to an organisation, or org lacks AI access

Create embeddings (OpenAI-compatible)

Authorizations

Request Bodyrequired

Example

Responses

200

Example

401

403

Request Body^required