When a Gradient AI Platform Knowledge Base is created the deployment of the database can run for several minutes. Currently users must write loops to poll for the deployment state, roughly.

from gradient import Gradient

client = Gradient()
while True:
  knowledge_base = client.knowledge_bases.retrieve(
      "uuid",
  )
  if knowledge_base.database_status != "ONLINE"
    continue

This should of course handle failed states for errors and such