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Qdrant

vlatest

An open-source vector database designed for high-performance similarity search and storage of embeddings.

Deploy on Dokploy

Deploy Qdrant on Dokploy

  1. Install Dokploy on your server if you haven't already.
  2. In your Dokploy panel, open a project and click Create Service → Template.
  3. Search for Qdrant and click Create — Dokploy configures domains, environment variables, and volumes for you.

Alternatively, create a Compose service, go to Advanced → Import from Base64, and paste this payload:

base64
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

Configuration

The exact Docker Compose and template configuration this template deploys.

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