POST
/
embeddings
curl --request POST \
  --url https://api.fireworks.ai/inference/v1/embeddings \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "input": "The quick brown fox jumped over the lazy dog",
  "model": "nomic-ai/nomic-embed-text-v1.5",
  "dimensions": 2
}'
{
  "data": [
    {
      "index": 123,
      "embedding": [
        123
      ],
      "object": "embedding"
    }
  ],
  "model": "<string>",
  "object": "list",
  "usage": {
    "prompt_tokens": 123,
    "total_tokens": 123
  }
}

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
​
input
default:
required

Input text to embed, encoded as a string. To embed multiple inputs in a single request, pass an array of strings. The input must not exceed the max input tokens for the model (8192 tokens for nomic-ai/nomic-embed-text-v1.5), cannot be an empty string, and any array must be 2048 dimensions or less.

Example:

"The quick brown fox jumped over the lazy dog"

​
model
required
Example:

"nomic-ai/nomic-embed-text-v1.5"

​
dimensions
integer

The number of dimensions the resulting output embeddings should have. Only supported in nomic-ai/nomic-embed-text-v1.5 and later models.

Required range: x >= 1

Response

200 - application/json
OK
​
data
object[]
required

The list of embeddings generated by the model.

Represents an embedding vector returned by embedding endpoint.

​
model
string
required

The name of the model used to generate the embedding.

​
object
enum<string>
required

The object type, which is always "list".

Available options:
list
​
usage
object
required

The usage information for the request.

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