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Flowise with a Postgres record manager, a Redis cache, and a Qdrant vector store, for production RAG flows. This page describes the Levelrail template for Flowise (Postgres + Qdrant) (AI). It deploys the services below as one Docker Compose app on your own server. Project site: https://docs.flowiseai.com. Recommended memory: about 2048 MiB.

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Services, ports and volumes

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Environment variables

Passwords and keys marked as generated are created for you when the app is deployed and stored as secrets. Values are not shown here.

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Deploy Flowise (Postgres + Qdrant) with Levelrail

In the dashboard, open Apps, choose New app, then Browse templates, and select Flowise (Postgres + Qdrant). Review the Compose body and deploy. With the CLI:
See the service template catalog for how templates work, and Getting started if you have not installed Levelrail yet.

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More AI templates

All templates are listed in the self-host gallery.
Last modified on October 12, 2026