landing_page/qdrant-landing/content/documentation/headless/snippets/cloud-inference/simple/python.md

from qdrant_client import QdrantClient
from qdrant_client.models import PointStruct, Document

client = QdrantClient(
    url="https://xyz-example.qdrant.io:6333",
    api_key="<paste-your-api-key-here>",
    # IMPORTANT
    # If not enabled, inference will be performed locally
    cloud_inference=True,
)

points = [
    PointStruct(
        id=1,
        payload={"topic": "cooking", "type": "dessert"},
        vector=Document(
            text="Recipe for baking chocolate chip cookies",
            model="<the-model-to-use>"
        )
    )
]

client.upsert(collection_name="<your-collection>", points=points)

result = client.query_points(
    collection_name="<your-collection>",
    query=Document(
        text="How to bake cookies?",
        model="<the-model-to-use>"
    )
)

print(result)