> ## Documentation Index > Fetch the complete documentation index at: https://docs.getcollate.io/llms.txt > Use this file to discover all available pages before exploring further. # ML Model Connectors > Explore supported ML model metadata connectors including MLflow, SageMaker, and VertexAI. # ML Model Services This is the supported list of connectors for ML Model Services:

PROD

If you have a request for a new connector, don't hesitate to reach out in [Slack](https://slack.open-metadata.org/) or open a [feature request](https://github.com/open-metadata/OpenMetadata/issues/new/choose) in our GitHub repo. ## Configure Metadata Agent and Schedule Ingestion The **Metadata Agent** extracts ML models, features, and other structural metadata from your source and keeps your Collate catalog in sync. It powers discovery, lineage, and governance across your data assets. When you click **Create & Deploy**, Collate automatically deploys a Metadata Agent for this service and triggers the first ingestion run. View its status and run history from the **Agents** tab on the service detail page. To configure the additional Metadata Agent and schedule ingestion, follow these steps: 1. In the left navigation, click **Connections** and select your service. 2. Click the **Agents** tab. 3. Click **Add Agent** and select **Metadata** from the dropdown. Add Metadata Agent

For some services, the dropdown is not available and clicking **Add Agent** takes you directly to the agent configuration page. 4. On the **Configure Ingestion** page, do the following and click **Next**. * **Name this Ingestion**: Enter a unique recognizable name for this ingestion pipeline.

* **Agent Setup**: Configure the core parameters for this agent. The following fields are available: | Field | Default | Description | | ---------------------- | ------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Db Service Prefixes | — | List of database service name prefixes used to resolve lineage between ML models and database assets. Accepted formats: `DBService`, `DBService.Database`, `DBService.Database.Schema`, `DBService.Database.Schema.Table`. | | Mark Deleted ML Models | On | Soft-delete ML models in Collate when they are removed from the source. Associated entities like lineage are also deleted. | Agent Setup

* **Filter Patterns**: Apply include or exclude rules to scope which ML models this agent ingests. These follow the same filter options described in **Step 5**.

* **Scope & Behaviour**: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs: | Toggle | Default | Description | | ----------------- | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Enable Debug Log | Off | Sets the ingestion log level to DEBUG. Useful for troubleshooting. | | Override Metadata | Off | When on, source values overwrite existing descriptions, tags, owners, and display names in Collate. When off, Collate only updates fields that have no existing value. | | Override Lineage | Off | When on, existing lineage is replaced with newly extracted lineage on each run. | Scope & Behaviour

5. On the **Schedule Interval** page, set when the agent runs: * **Schedule**: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression. * **On-Demand**: No automatic schedule; trigger the agent manually when needed.

6. Click **Add** to deploy the agent.