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David Myriel
128939f229
- improved landing page for Cloud - edited, proofread and fixed most content - mentioned the addition of gcp - added some visuals
1.7 KiB
1.7 KiB
title, weight, aliases
| title | weight | aliases | |
|---|---|---|---|
| Quickstart | 10 |
|
Quickstart
This page shows you how to use the Qdrant Cloud Console to create a free tier cluster and then connect to it with Qdrant Client.
Step 1: Create a Free Tier cluster
- Start in the Overview section of the Dashboard.
- Under Set a Cluster Up enter a Cluster name.
- Click Create Free Tier and then Continue.
- Under Get an API Key, select the cluster and click Get API Key.
- Save the API key, as you won't be able to request it again. Click Continue.
- Save the code snippet provided to access your cluster. Click Complete to finish setup.
Step 2: Test cluster access
After creation, you will receive a code snippet to access your cluster. Your generated request should look very similar to this one:
curl \
-X GET https://xyz-example.eu-central.aws.cloud.qdrant.io:6333 \
--header 'api-key: <paste-your-api-key-here>'
Open Terminal and run the request. You should get a response that looks like this:
{"title":"qdrant - vector search engine","version":"1.4.1"}
Note: The API key needs to be present in the request header every time you make a request via Rest or gRPC interface.
Step 3: Authenticate via Python client
Now that you have created your first cluster and key, you might want to access Qdrant Cloud from within your application. Our official Qdrant clients for Python, Go, and Rust all support the API key parameter.
from qdrant_client import QdrantClient
qdrant_client = QdrantClient(
"xyz-example.eu-central.aws.staging-cloud.qdrant.io",
prefer_grpc=True,
api_key="<paste-your-api-key-here>",
)