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Merge pull request #1037 from qdrant/docs/qdrant_demo
Link to Qdrant Demo on Homepage
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# Documentation
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Qdrant is an AI-native vector dabatase and a semantic search engine. You can use it to extract meaningful information from unstructured data. **[Learn more about vector search](/documentation/overview/)** and how it works with AI.
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Qdrant is an AI-native vector dabatase and a semantic search engine. You can use it to extract meaningful information from unstructured data. Want to see how it works? [Clone this repo now](https://github.com/qdrant/qdrant_demo/) and build a search engine in five minutes.
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|[Local Quickstart](/documentation/quick-start/)|[Cloud Quickstart](/documentation/cloud/quickstart-cloud/)|
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## Ready to start developing?
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## Ready to start developing?
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***<p style="text-align: center;">Qdrant is open-source and can be self-hosted. However, the quickest way to get started is with our [free tier](https://qdrant.to/cloud) on Qdrant Cloud. It scales easily and provides an UI where you can interact with data.</p>***
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