Welcome to your comprehensive guide for installing and setting up Open WebUI, an extensible and feature-rich self-hosted UI for seamless interaction with LLMs. Whether you’re a seasoned developer or a curious newbie, this article will help you navigate through the deployment process. Let’s get started!

What is Open WebUI?

Open WebUI is a self-hosted WebUI designed for offline operation. It’s flexible and supports a variety of LLM runners, including Ollama and OpenAI-compatible APIs, opening doors to countless possibilities for your conversations and interactions.

Key Features of Open WebUI

• Effortless Setup: Install easily using Docker or Kubernetes.
• API Integration: Effortless connection to OpenAI-compatible APIs.
• Custom Logic Support: Integrate custom Python libraries with Pipelines Plugin Framework.
• Responsive Design: Optimized for all devices.
• Hands-Free Communication: Integrated voice and video call features.
• Multi-Model Support: Engage multiple models for optimal responses.

How to Install Open WebUI

Follow these simple steps to install Open WebUI using Docker.

Quick Start with Docker

Warning: Ensure you use the -v open-webui:appbackenddata in your Docker command to prevent data loss.

Installation Steps

Choose the right command based on your setup:

• If Ollama is on your computer:

  bash
  docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway \
  -v open-webui:appbackenddata --name open-web-ui --restart always \
  ghcr.io/open-webui/open-webui:main
  

• If Ollama is on a different server:

  bash
  docker run -d -p 3000:8080 -e OLLAMA_BASE_URL=https://example.com \
  -v open-webui:appbackenddata --name open-web-ui --restart always \
  ghcr.io/open-webui/open-webui:main
  

• For Nvidia GPU Support:

  bash
  docker run -d -p 3000:8080 --gpus all --add-host=host.docker.internal:host-gateway \
  -v open-webui:appbackenddata --name open-web-ui --restart always \
  ghcr.io/open-webui/open-webui:cuda
  

Troubleshooting

Experiencing issues? Here are some troubleshooting tips:

• Server Connection Error: If you’re unable to connect, it may be due to the Docker container not reaching the Ollama server. Use the --network=host flag in your docker command and access it at http://localhost:8080.
• Updating Installation: To keep your installation up-to-date, use Watchtower to automate updates.
• If issues persist, feel free to reach out for more help within the vibrant community on our Discord or consult the Open WebUI Documentation.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

Open WebUI opens up exciting possibilities for interacting with large language models. From effortless setup to sophisticated features, you now have everything you need to get started. At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

What’s Next?

For more comprehensive guidance and exciting features, don’t forget to check out the Open WebUI Documentation. Happy exploring!