Azure Embedding

Embed data using Azure's API.

Configure via UI

1. Select Azure Embedding from the Embedding Model dropdown.
2. Enter your Azure API key, deployment name, endpoint name and API version.

Configure via API / Client

Python Client

pipeline = {
  'name': 'test-pipeline',
  'transform_config': {...},
  'embedding_config': {
      'type': 'AZURE_EMBEDDING',
      'component': {
          'deployment_name': '<YOUR_DEPLOYMENT_NAME>', # editable
          'api_key': '<YOUR_AZUREOPENAI_API_KEY>', # editable
          'azure_endpoint': '<YOUR AZURE_ENDPOINT>', # editable
          'api_version': '<YOUR AZURE_API_VERSION>', # editable
      },
  }
  'data_sink_id': data_sink.id
}

pipeline = client.pipelines.upsert_pipeline(request=pipeline)

TypeScript Client

const pipeline = {
    'name': 'test-pipeline',
    'transform_config': {...},
    'embedding_config': {
        'type': 'AZURE_EMBEDDING',
        'component': {
            'deployment_name': '<YOUR_DEPLOYMENT_NAME>', # editable
            'api_key': '<YOUR_AZUREOPENAI_API_KEY>', # editable
            'azure_endpoint': '<YOUR AZURE_ENDPOINT>', # editable
            'api_version': '<YOUR AZURE_API_VERSION>', # editable
        },
    }
  'dataSinkId': data_sink.id
}

await client.pipelines.upsertPipeline({
projectId: projectId,
body: pipeline
})