upload.py

import numpy as np
import json

fd = open('./startups.json')

# payload is now an iterator over startup data
payload = map(json.loads, fd)

# Here we load all vectors into memory, numpy array works as iterable for itself.
# Other option would be to use Mmap, if we don't want to load all data into RAM
vectors = np.load('./startup_vectors.npy')

# And the final step - data uploading
qdrant_client.upload_collection(
  collection_name='startups',
  vectors=vectors,
  payload=payload,
  ids=None,  # Vector ids will be assigned automatically
  batch_size=256  # How many vectors will be uploaded in a single request?
)