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update quickstart links
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@@ -9,7 +9,7 @@ Qdrant is an AI-native vector dabatase and a semantic search engine. You can use
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|[Local Quickstart](/documentation/quick-start/)|[Cloud Quickstart](/documentation/cloud/quickstart-cloud/)|
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|[Cloud Quickstart](/documentation/quickstart-cloud/)|[Local Quickstart](/documentation/quick-start/)|
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## Ready to start developing?
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@@ -1,12 +1,10 @@
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---
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title: Cloud Quickstart
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title: Setup Free Tier
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weight: 10
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aliases:
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- ../cloud-quick-start
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- cloud-quick-start
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---
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# Cloud Quickstart
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# How to Setup and Connect to Qdrant Cloud on Free Tier
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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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## Create a Free Tier cluster
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@@ -1,9 +1,13 @@
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---
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title: Visual Quickstart
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title: Cloud Quickstart
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weight: 3
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aliases:
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- quickstart-cloud
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- ../cloud-quick-start
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- cloud-quick-start
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- cloud-quickstart
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---
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# Visual Quickstart
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# How to Get Started With Qdrant Cloud
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<p align="center"><iframe width="560" height="315" src="https://www.youtube.com/embed/g6uJhjAoNMg?si=EZ3OtmEdKKHIOgFy" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></p>
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<p style="text-align: center;">You can try vector search on Qdrant Cloud in three steps.
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---
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title: Docker Quickstart
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title: Local Quickstart
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weight: 4
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aliases:
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- quick_start
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- quick-start
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- quickstart
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---
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# Docker Quickstart
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# How to Get Started with Qdrant Locally
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In this short example, you will use the Python Client to create a Collection, load data into it and run a basic search query.
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