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POST
/
embeddings
JavaScript
import SambaNova from 'sambanova';

const client = new SambaNova({
  apiKey: process.env['SAMBANOVA_API_KEY'], // This is the default and can be omitted
});

const embeddingsResponse = await client.embeddings.create({
  input: ['text to embed number 1', 'text to embed number 2'],
  model: 'E5-Mistral-7B-Instruct',
});

console.log(embeddingsResponse.data);
{
  "data": [
    {
      "index": 0,
      "object": "embedding",
      "embedding": [
        0.024864232167601585,
        -0.01452154759317636,
        0.008880083449184895
      ]
    },
    {
      "index": 1,
      "object": "embedding",
      "embedding": [
        0.010919672437012196,
        0.0016351072117686272,
        0.008019134402275085
      ]
    }
  ],
  "model": "E5-Mistral-7B-Instruct",
  "object": "list",
  "usage": {
    "prompt_tokens": 716,
    "total_tokens": 716
  }
}

Authorizations

​
Authorization
string
header
required

SambaNova API key, sent as a bearer token in the Authorization header (Authorization: Bearer <key>). Default authentication scheme used by the SambaNova SDK across every OpenAI compatible endpoint.

Body

application/json

Texts to embed and parameters

embeddings request object

​
model
required

The model ID to use See available models

​
input
required

The string that will be turned into an embedding.

Response

Successful response

Embeddings response returned by the model

​
object
enum<string>
required

The object type, which is always "list".

Available options:
list
​
model
string
required

The name of the model used to generate the embedding.

​
usage
Usage · object
required

Usage metrics for the completion, embeddings,transcription or translation request

Examples:
{
  "completion_tokens": 260,
  "completion_tokens_after_first_per_sec": 422.79282728043336,
  "completion_tokens_after_first_per_sec_first_ten": 423.6108998455803,
  "completion_tokens_after_first_per_sec_graph": 423.6108998455803,
  "completion_tokens_per_sec": 314.53312043711406,
  "completion_tokens_details": { "reasoning_tokens": 55 },
  "end_time": 1776189309.02061,
  "is_last_response": true,
  "prompt_tokens": 90,
  "prompt_tokens_details": { "cached_tokens": 0 },
  "start_time": 1776189308.193988,
  "stop_reason": "stop",
  "time_to_first_token": 0.21402883529663086,
  "time_to_first_token_graph": 0.2102978229522705,
  "total_latency": 0.8266220092773438,
  "total_tokens": 350,
  "total_tokens_per_sec": 423.40996981919204
}
{ "prompt_tokens": 43, "total_tokens": 393 }
​
data
Embedding · object[]
required

The list of embeddings generated by the model.