Creates a new vector index in a vector bucket.
The name of the vector bucket.
The name of the index to create.
The dimension of the vectors in this index.
The distance metric to use. Options: `cosine`, `euclidean`.
The data type of the vectors.
Optional metadata configuration for the index.
supabase.storage.vectors().from_("vectors-bucket").create_index(
index_name="my-index",
dimension=128,
distance_metric="cosine",
data_type="float32"
)