Azure OpenAI. The selected embedding model provider for this configuration.

Required. Key for your Azure OpenAI resource (from the Azure portal or your secret store). Stored keys must be protected.

Required. Name of the embedding deployment in Azure OpenAI (Azure AI Foundry / Studio). Must match a deployment that uses an embedding-capable model.

Required. Endpoint URL for the Azure OpenAI resource, typically https://<resource-name>.openai.azure.com/ (or the path your gateway uses).

Optional. Output embedding size when the deployed model supports configurable dimensions. Leave blank to use the deployment default.

Optional. Retries for failed requests. Default is often 3 when not set.

Optional. Request timeout in milliseconds. Default is often 60000 when not set.

When enabled, logs request details; embedding inputs may be sensitive—use short-term for troubleshooting only.

When enabled, logs response details; disable when finished debugging.

Mistral. The selected embedding model provider for this configuration.

Required. API key from the Mistral AI console (or your secret store). Stored keys must be protected.

Required. Mistral embedding model id (for example mistral-embed). Use the exact id your API version supports.

Optional. Overrides the default Mistral API base URL. Leave blank for the standard endpoint unless you use a proxy or custom gateway.

Optional. Retries for failed requests. Default is often 3 when not set.

Optional. Request timeout in milliseconds. Default is often 60000 when not set.

When enabled, logs request details; disable after debugging.

When enabled, logs response details; disable after debugging.