Perform sparse embedding inference on the service Generally available; Added in 8.11.0

POST /_inference/sparse_embedding/{inference_id}
Api key auth Basic auth Bearer auth

Path parameters

Query parameters

  • timeout string

    Specifies the amount of time to wait for the inference request to complete.

    Values are -1 or 0.

application/json

Body

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • sparse_embedding array[object] Required
      Hide sparse_embedding attribute Show sparse_embedding attribute object
      • embedding object Required

        Sparse Embedding tokens are represented as a dictionary of string to double.

        Hide embedding attribute Show embedding attribute object
        • * number Additional properties
POST /_inference/sparse_embedding/{inference_id} 
POST _inference/sparse_embedding/my-elser-model
{
  "input": "The sky above the port was the color of television tuned to a dead channel."
}
resp = client.inference.sparse_embedding(
    inference_id="my-elser-model",
    input="The sky above the port was the color of television tuned to a dead channel.",
)
const response = await client.inference.sparseEmbedding({
  inference_id: "my-elser-model",
  input:
    "The sky above the port was the color of television tuned to a dead channel.",
});
response = client.inference.sparse_embedding(
  inference_id: "my-elser-model",
  body: {
    "input": "The sky above the port was the color of television tuned to a dead channel."
  }
)
$resp = $client->inference()->sparseEmbedding([
    "inference_id" => "my-elser-model",
    "body" => [
        "input" => "The sky above the port was the color of television tuned to a dead channel.",
    ],
]);
curl -X POST -H "Authorization: ApiKey $ELASTIC_API_KEY" -H "Content-Type: application/json" -d '{"input":"The sky above the port was the color of television tuned to a dead channel."}' "$ELASTICSEARCH_URL/_inference/sparse_embedding/my-elser-model"
Request example
Run `POST _inference/sparse_embedding/my-elser-model` to perform sparse embedding on the example sentence. 
{
  "input": "The sky above the port was the color of television tuned to a dead channel."
}
Response examples (200)
An abbreviated response from `POST _inference/sparse_embedding/my-elser-model`. 
{
  "sparse_embedding": [
    {
      "port": 2.1259406,
      "sky": 1.7073475,
      "color": 1.6922266,
      "dead": 1.6247464,
      "television": 1.3525393,
      "above": 1.2425821,
      "tuned": 1.1440028,
      "colors": 1.1218185,
      "tv": 1.0111054,
      "ports": 1.0067928,
      "poem": 1.0042328,
      "channel": 0.99471164,
      "tune": 0.96235967,
      "scene": 0.9020516
    }
  ]
}