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Open WebUI deployment notes

Self-hosted AI interface often used with Ollama and local model workflows.

Deployment verdict

Open WebUI is most useful as the interface layer for local model experimentation, especially with Ollama. It should not be evaluated like a hosted chat product; it should be evaluated by how cleanly it exposes local models, provider configuration, user access, and everyday chat workflows on your own machine or server.

Before installing

  • Review the license: BSD-3-Clause.
  • Check whether Docker is supported: yes.
  • Check API key dependency: depends on model/provider.
  • Confirm supported models: Ollama, OpenAI-compatible.

Recommended deployment path

  1. Install or verify Ollama first, then deploy Open WebUI.
  2. Start with one small model and one known prompt set.
  3. Add users and shared settings only after the single-user workflow is stable.
  4. Document whether data stays local for the selected model route.

Common evaluation traps

  • Local UI does not guarantee every model route is local.
  • Weak hardware can make a good interface feel broken.
  • Plugins and extra connectors should be treated as a separate security review.

Acceptance test tasks

  1. Connect one Ollama model and one OpenAI-compatible endpoint.
  2. Run the same prompt set on both routes.
  3. Check user settings, saved chats, and model visibility before inviting a team.

Setup commands

git clone https://github.com/open-webui/open-webui.gitRead README and copy the example environment fileStart with Docker if the project provides compose files