mirror of
https://github.com/qdrant/landing_page.git
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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
51 lines
1.7 KiB
Markdown
51 lines
1.7 KiB
Markdown
---
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title: Quickstart
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weight: 10
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aliases:
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- ../cloud-quick-start
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---
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# Quickstart
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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.
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## Step 1: Create a Free Tier cluster
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1. Start in the **Overview** section of the Dashboard.
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2. Under **Set a Cluster Up** enter a **Cluster name**.
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3. Click **Create Free Tier** and then **Continue**.
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4. Under **Get an API Key**, select the cluster and click **Get API Key**.
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5. Save the API key, as you won't be able to request it again. Click **Continue**.
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6. Save the code snippet provided to access your cluster. Click **Complete** to finish setup.
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## Step 2: Test cluster access
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After creation, you will receive a code snippet to access your cluster. Your generated request should look very similar to this one:
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```bash
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curl \
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-X GET https://xyz-example.eu-central.aws.cloud.qdrant.io:6333 \
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--header 'api-key: <paste-your-api-key-here>'
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```
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Open Terminal and run the request. You should get a response that looks like this:
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```bash
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{"title":"qdrant - vector search engine","version":"1.4.1"}
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```
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> **Note:** The API key needs to be present in the request header every time you make a request via Rest or gRPC interface.
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## Step 3: Authenticate via Python client
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Now that you have created your first cluster and key, you might want to access Qdrant Cloud from within your application.
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Our official Qdrant clients for Python, Go, and Rust all support the API key parameter.
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```python
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from qdrant_client import QdrantClient
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qdrant_client = QdrantClient(
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"xyz-example.eu-central.aws.staging-cloud.qdrant.io",
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prefer_grpc=True,
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api_key="<paste-your-api-key-here>",
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)
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``` |