Azure OpenAI Embedding Models

To use an embedding model hosted on Azure OpenAI, specify the azure path in the from field and the following parameters from the Azure OpenAI Model Deployment page:

Param	Description	Default
`azure_api_key`	The Azure OpenAI API key from the models deployment page.	-
`azure_api_version`	The API version used for the Azure OpenAI service.	-
`azure_deployment_name`	The name of the model deployment.	Model name
`endpoint`	The Azure OpenAI resource endpoint, e.g., `https://resource-name.openai.azure.com`.	-
`azure_entra_token`	The Azure Entra token for authentication.	-

Only one of azure_api_key or azure_entra_token can be provided for model configuration.

Example:

embeddings:
  - name: embeddings-model
    from: azure:text-embedding-3-small
    params:
      endpoint: ${ secrets:SPICE_AZURE_AI_ENDPOINT }
      azure_deployment_name: text-embedding-3-small
      azure_api_version: 2023-05-15
      azure_api_key: ${ secrets:SPICE_AZURE_API_KEY }

Refer to the Azure OpenAI Service models for more details on available models and configurations.

Follow the Azure OpenAI Models Cookbook Recipe to try Azure OpenAI models for vector-based search and chat functionalities with structured (taxi trips) and unstructured (GitHub files) data.