What occurs when attempting to insert a vector with an incorrect dimension into a VECTOR column with defined dimensions?

When trying to insert a vector with dimensions that do not match the defined dimensions of a VECTOR column, the appropriate outcome is that the insert operation fails, and an error message is generated. This behavior ensures that the integrity of the data model is maintained, as each VECTOR column has a specific dimensionality that must be adhered to.

Maintaining defined dimensions is crucial for effective vector operations, such as similarity searches or other analytic tasks. If vectors were allowed to be inserted with incorrect dimensions through padding, truncation, or other means, it would lead to inconsistent data, making subsequent operations unreliable and complicating data management. This strict validation process helps preserve the structure and integrity of the data stored within the database.