drop_vectorizer()

Remove a vectorizer and clean up associated resources

Remove a vectorizer that you created previously and clean up the associated resources. This provides a controlled way to delete a vectorizer when it’s no longer needed or when you want to reconfigure it from scratch.

You use this function to:

• Remove a specific vectorizer configuration from the system
• Clean up associated database objects and scheduled jobs
• Safely undo the creation of a vectorizer

What gets dropped

By default, drop_vectorizer removes:

• Scheduled job associated with the vectorizer (if one exists)
• Trigger from the source table used to queue changes
• Trigger function that backed the source table trigger
• Queue table used to manage updates to be processed
• Vectorizer row from the ai.vectorizer table

By default, drop_vectorizer does NOT remove:

• Target table containing the embeddings
• View joining the target and source tables

This allows you to keep generated embeddings and the view even after dropping the vectorizer, useful when you want to stop automatic updates but still use existing embeddings.

Samples

Drop by name (recommended)

SELECT ai.drop_vectorizer('public_blog_embeddings');

Drop by ID

SELECT ai.drop_vectorizer(1);

Drop everything including embeddings

Drop the vectorizer and also remove the target table and view:

SELECT ai.drop_vectorizer('public_blog_embeddings', drop_all => true);

Arguments

You can call drop_vectorizer in two ways:

By name (recommended)

Name	Type	Default	Required	Description
name	text	-	✔	The name of the vectorizer to drop
drop_all	bool	false	✖	Set to true to also drop the target table and view

By ID

Name	Type	Default	Required	Description
vectorizer_id	int	-	✔	The identifier of the vectorizer to drop
drop_all	bool	false	✖	Set to true to also drop the target table and view

Returns

This function does not return a value, but it performs several cleanup operations.

Best practices

• Before dropping a vectorizer, ensure you will not need the automatic embedding updates it provides
• After dropping a vectorizer, manually clean up the target table and view if they’re no longer needed
• Reference vectorizers by name (recommended) rather than ID for better readability

Related functions

• create_vectorizer(): create a new vectorizer
• disable_vectorizer_schedule(): temporarily pause without dropping