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39 lines
2.4 KiB
Markdown
39 lines
2.4 KiB
Markdown
---
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title: Qdrant Cloud
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weight: 20
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---
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# About Qdrant Cloud
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Qdrant Cloud is our SaaS (software-as-a-service) solution, providing managed Qdrant instances on the cloud.
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We provide you with the same fast and reliable similarity search engine, but without the need to maintain your own infrastructure.
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Transitioning from on-premise to the cloud version of Qdrant does not require changing anything in the way you interact with the service. All you have to do is [create a Qdrant Cloud account](https://qdrant.to/cloud) and [provide a new API key]({{< ref "/documentation/cloud/authentication" >}}) to each request.
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The transition is even easier if you use the official client libraries. For example, the [Python Client](https://github.com/qdrant/qdrant-client) has the support of the API key already built-in, so you only need to provide it once, when the QdrantClient instance is created.
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### Cluster configuration
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Each instance comes pre-configured with the following tools, features and support services:
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- Automatically created with the latest available version of Qdrant.
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- Upgradeable to later versions of Qdrant as they are released.
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- Equipped with monitoring and logging to observe the health of each cluster.
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- Accessible through the Qdrant Cloud Console.
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- Vertically scalable.
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- Offered on AWS and GCP, with Azure currently in development.
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### Getting started with Qdrant Cloud
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To use Qdrant Cloud, you will need to create at least one cluster. There are two ways to start:
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1. [**Create a Free Tier cluster**]({{< ref "/documentation/cloud/quickstart-cloud" >}}) with 1 node and a default configuration (1GB RAM, 0.5 CPU and 4GB Disk). This option is perfect for prototyping and you don't need a credit card to join.
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2. [**Configure a custom cluster**]({{< ref "/documentation/cloud/create-cluster" >}}) with additional nodes and more resources. For this option, you will have to provide billing information.
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We recommend that you use the Free Tier cluster for testing purposes. The capacity should be enough to serve up to 1M vectors of 768dim. To calculate your needs, refer to [capacity planning]({{< ref "/documentation/cloud/capacity-sizing" >}}).
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### Support & Troubleshooting
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All Qdrant Cloud users are welcome to join our [Discord community](https://qdrant.to/discord). Our Support Engineers are available to help you anytime.
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Additionally, paid customers can also contact support via channels provided during cluster creation and/or on-boarding.
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