# Perform dense embedding inference on the service

**POST /_inference/embedding/{inference_id}**




## Servers
- http://api.example.com: http://api.example.com ()


## Authentication methods
- Api key auth
- Basic auth
- Bearer auth


## Parameters

### Path parameters
- **inference_id** (string)
  The inference Id

### Query parameters
- **timeout** (string)
  Specifies the amount of time to wait for the inference request to complete.

### Body: application/json (object)

- **input** (string | array[string] | object | array[object])
  Inference input.
  Either a string, an array of strings, a `content` object, or an array of `content` objects.

  string example:
  ```
  "input": "Some text"
  ```
  string array example:
  ```
  "input": ["Some text", "Some more text"]
  ```
  `content` object example:
  ```
  "input": {
      "content": {
        "type": "image",
        "format": "base64",
        "value": "data:image/jpeg;base64,..."
      }
    }
  ```
  `content` object array example:
  ```
  "input": [
    {
      "content": {
        "type": "text",
        "format": "text",
        "value": "Some text to generate an embedding"
      }
    },
    {
      "content": {
        "type": "image",
        "format": "base64",
        "value": "data:image/jpeg;base64,..."
      }
    }
  ]
  ```
- **input_type** (string)
  The input data type for the embedding model. Possible values include:
  * `SEARCH`
  * `INGEST`
  * `CLASSIFICATION`
  * `CLUSTERING`

  Not all models support all values. Unsupported values will trigger a validation exception.
  Accepted values depend on the configured inference service, refer to the relevant service-specific documentation for more info.

  > info
  > The `input_type` parameter specified on the root level of the request body will take precedence over the `input_type` parameter specified in `task_settings`.
- **task_settings** (object)
  Task settings for the individual inference request. These settings are specific to the <task_type> you specified and override the task settings specified when initializing the service.


## Responses
### 200


#### Body: application/json (object)
- **embeddings_bytes** (array[object])

- **embeddings_bits** (array[object])

- **embeddings** (array[object])



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