Specify a custom distance function for the database:

By default, EuclideanDistance is used:

Only vectors can be stored in the database; specify a FeatureExtractor that can extract image features:

Search for the closest image to a given one:

Specify a custom location to store the database:

Retrieve the location:

By default, the database is stored in a local object:

Store the vector database in a file:

Retrieve the location:

Recreate the database from the file reference:

The database's automatic location is determined by its name:

With default OverwriteTargetAutomatic, a new database name is generated to avoid collisions:

Use OverwriteTargetFalse to perform a strict check:

OverwriteTargetFalse will also prevent reusing the same database name in a different location:

Create a file:

By default, existing files are not overwritten:

Use OverwriteTargetTrue to overwrite the existing file:

Create a database at a specific location:

When generating a database with the same name in a new location, the name will always be updated:

Delete the original database to free the name:

Now the name is available again:

Specify a custom working precision for the distance computation:

By default, the precision is inferred from the input data:

Specify a precision for an empty database:

Newly added vectors are clipped and/or rounded to fit into the given precision: