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Open WebUI troubleshooting and lightweight production

Open WebUI is very convenient for using local models, but when you turn it into a daily tool you need to think about versions, volumes, backups, UI changes, Ollama connectivity, and recovery.

  • Avoid losing chats, users, or configuration from a bad update.
  • Diagnose Ollama connectivity and tool issues.
  • Set up a lightweight installation for small business or small team use.
Terminal
# View containers and logs
docker ps
docker logs -f open-webui

# Check Ollama from the host
curl http://localhost:11434/api/tags

# Check from a container on the same network
docker exec -it open-webui sh
curl http://host.docker.internal:11434/api/tags

Pre-update checklist

  • Note the current image version.
  • Back up the Open WebUI volume.
  • Read release notes if you rely on tools, auth, or RAG.
  • Test on a copy if more people use it.
  • Have a rollback plan.
Terminal
# Simple Docker volume backup
docker run --rm \
  -v open-webui:/data \
  -v "$PWD/backups":/backup \
  alpine tar czf /backup/open-webui-$(date +%Y%m%d).tgz -C /data .

Minimal lightweight production

  • Open WebUI with persistent volume.
  • Ollama running separately and monitored.
  • Qdrant with its own volume if you use RAG.
  • Reverse proxy with HTTPS if it goes beyond localhost.
  • Tested backups, not just configured.

Official sources

  • Open WebUI documentation
  • Ollama API
  • Qdrant documentation
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Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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