# Knowledge connectors

### Adding a New Connector

To add a new Knowledge Connector to your Waterflai workspace:

1. Navigate to the Knowledge page in your Waterflai dashboard.
2. Click the "Add Connector" button in the Connectors section.
3. In the connector selection modal, you'll see a grid of available connector types.
4. Use the search bar at the top to filter connectors if needed.
5. Click on the connector card you wish to add.
6. Fill out the connector-specific form with the required details (e.g., API keys, endpoints).
7. Click "Save" to create the new connector.

### Managing Existing Connectors

Once you've added connectors, you can manage them from the Connectors table:

#### Viewing Connectors

* The Connectors table displays all your connected data sources.
* Each row shows the connector's name and logo for easy identification.

#### Editing a Connector

To edit a connector's settings:

1. Click the three-dot menu at the end of the connector's row.
2. Select "Edit" from the dropdown menu.
3. Update the connector's details in the form that appears.
4. Click "Save" to apply your changes.

#### Deleting a Connector

To remove a connector:

1. Click the three-dot menu at the end of the connector's row.
2. Select "Delete" from the dropdown menu.
3. Confirm the deletion in the confirmation dialog.

> **Note:** Deleting a connector will remove access to its associated data. Ensure you're not using the connector in any active collections before deletion.

### Supported Connectors

Waterflai supports several types of connectors, including:

* ChromaDB
* Milvus
* Pinecone
* Qdrant
* Zilliz

Each connector type has its own specific configuration requirements. Be sure to have the necessary credentials and information ready when setting up a new connector.

### Best Practices

1. **Security**: Store API keys and sensitive information securely.
2. **Testing**: After adding a connector, test the connection by creating a sample collection.
3. **Monitoring**: Regularly check your connector status to ensure continued access to your data sources.
4. **Documentation**: Keep track of the purpose and contents of each connector for easier management.

By following these instructions, you'll be able to effectively set up and manage Knowledge Connectors in Waterflai, enabling your AI applications to access and utilize a wide range of data sources.


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