Run Ollama Open Webui on Novita AI

GitHub List: Novita AI Templates Catalogue

Introducing Ollama Open WebUI

What is Ollama Open WebUI

Ollama Open WebUI, now known as Open WebUI, is an extensible self-hosted interface that is feature-rich and user-friendly. It supports running various large language models (LLM) programs, including Ollama and APIs compatible with OpenAI, making it easy for users to customize based on workflow.

What are the functions of Ollama Open WebUI

• Mixture of Agents

• Run Code

• Visualize Data

• Artifacts

• Google Translate

• Context Clip Filter

To view more functions, you can look at the Open WebUI Functions.

Why Choose Ollama Open WebUI

• Effortless Setup: Install with ease using Docker or Kubernetes, ensuring a hassle-free experience with support for both Ollama and CUDA-tagged images.

• Ollama/OpenAI API Integration: Seamlessly integrate OpenAI-compatible APIs for diverse conversation experiences. Customize API URLs to connect with various platforms like LMStudio, GroqCloud, Mistral, and OpenRouter.

• Advanced Pipelines and Plugin Support: Integrate custom logic and Python libraries through the Pipelines Plugin Framework, enabling functionalities like function calling, usage monitoring, live translation, and more.

• Responsive and Mobile-Friendly: Enjoy a consistent experience across desktops, laptops, and mobile devices, with added convenience from a Progressive Web App (PWA) for offline access.

• Rich Content Support: Enhance interactions with full Markdown and LaTeX support, as well as integrated voice and video call features for dynamic communication.

• Model Builder and Customization: Easily create and manage Ollama models, customize chat elements, and integrate community-driven models through the Web UI.

• Native Python and Local RAG Integration: Leverage native Python function calling, a built-in code editor, and Retrieval Augmented Generation (RAG) for document-based interactions in your chat.

• Web Search and Browsing: Integrate web searches and browsing directly into your chat, enriching conversations with real-time web content.

• Image Generation: Incorporate dynamic visual content with seamless image generation using local and external APIs.

• Multi-Model Conversations: Engage with multiple AI models simultaneously, harnessing their unique strengths for richer responses.

• Security and Access Control: Benefit from Role-Based Access Control (RBAC) to secure access, with permissions reserved for authorized users.

• Multilingual and Global Reach: Use Open WebUI in your preferred language with robust multilingual support, and contribute to expanding its language offerings.

• Continuous Improvement: Open WebUI is actively maintained with regular updates, new features, and community-driven enhancements.

Who will Use Ollama Open WebUI

• Developers: Developers who wish to run and test large language models in a local environment.

• Tech Enthusiasts: Individuals interested in AI and machine learning, looking to explore and customize LLM.

• Enterprise Users: Companies that need to deploy AI solutions in a secure local environment.

• Researchers: Academic professionals engaged in AI research, requiring experimentation with multiple models.

How to Use Ollama Open WebUI: Simple Guide

Installing Open WebUI with Bundled Ollama Support

This installation method uses a single container image that bundles Open WebUI with Ollama, allowing for a streamlined setup via a single command. Choose the appropriate command based on your hardware setup:

With GPU Support: Utilize GPU resources by running the following command:

1docker run -d -p 3000:8080 --gpus=all -v ollama:/root/.ollama -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:ollama

Tips for Enhancing Ollama Open WebUI

• If you wish to utilize Open WebUI with Ollama included or CUDA acceleration, it's recommended to utilize Open WebUI's official images tagged with either :cuda or :ollama.

• When using Docker to install Open WebUI, make sure to include the -v open-webui:/app/backend/data in your Docker command.

For further info, you can check Ollama Open WebUI Documentation.

Run Ollama Open Webui on Novita AI: Convenient Choice

Running Ollama Open WebUI on Novita AI is the optimal choice for developers and researchers looking for a seamless, powerful AI environment. Novita AI offers unmatched infrastructure, ensuring that your AI models run efficiently and securely. With Novita AI's robust performance, scalable resources, and streamlined deployment process, you can focus on what matters most—innovating and advancing your AI projects.

Benefits of Running Ollama Open WebUI on Novita AI

When you choose to run Ollama Open WebUI on Novita AI, you unlock a host of benefits designed to enhance your development experience:

• Seamless Integration: Novita AI makes it easy to deploy and manage Ollama Open WebUI, ensuring a smooth setup process.

• Scalable Resources: Scale your projects effortlessly with Novita AI’s flexible infrastructure, designed to handle everything from small-scale tests to large, complex AI models.

• High Performance: Benefit from high-speed processing and minimal latency, crucial for real-time AI interactions and intensive model training sessions.

• Advanced Security: With Novita AI’s robust security protocols, your models and data remain safe, allowing you to focus on development without worrying about vulnerabilities.

• Comprehensive Support: Novita AI provides extensive documentation and responsive support, ensuring that any issues are quickly resolved, and your development process remains uninterrupted. We also provide community support at the Novita AI discord community.

How to Run Ollama Open WebUI on Novita AI

Getting started with Ollama Open WebUI on Novita AI is straightforward. Sign up or log in with your Google/Github account. Then follow user-friendly instructions on the page. Start running Ollama Open WebUI on Novita AI today and experience the convenience and power that this integration offers.

License

MIT License

View on GitHub

Source site: https://github.com/open-webui/open-webui

FAQs

Why am I asked to sign up? Where are my data being sent to?

We require you to sign up to become the admin user for enhanced security. This ensures that if the Open WebUI is ever exposed to external access, your data remains secure. It's important to note that everything is kept local. We do not collect your data. When you sign up, all information stays within your server and never leaves your device. Your privacy and security are our top priorities, ensuring that your data remains under your control at all times.

Why can't my Docker container connect to services on the host using localhost?

Inside a Docker container, localhost refers to the container itself, not the host machine. This distinction is crucial for networking. To establish a connection from your container to services running on the host, you should use the DNS name host.docker.internal instead of localhost. This DNS name is specially recognized by Docker to facilitate such connections, effectively treating the host as a reachable entity from within the container, thus bypassing the usual localhost scope limitation.

How do I make my host's services accessible to Docker containers?

To make services running on the host accessible to Docker containers, configure these services to listen on all network interfaces, using the IP address 0.0.0.0, instead of 127.0.0.1 which is limited to localhost only. This configuration allows the services to accept connections from any IP address, including Docker containers. It's important to be aware of the security implications of this setup, especially when operating in environments with potential external access. Implementing appropriate security measures, such as firewalls and authentication, can help mitigate risks.

Why isn't my Open WebUI updating? I've re-pulled/restarted the container, and nothing changed.

Updating Open WebUI requires more than just pulling the new Docker image. Here’s why your updates might not be showing and how to ensure they do:

1. Updating the Docker Image: The command docker pull ghcr.io/open-webui/open-webui:main updates the Docker image but not the running container or its data.

2. Persistent Data in Docker Volumes: Docker volumes store data independently of container lifecycles, preserving your data (like chat histories) through updates.

3. Applying the Update: Ensure your update takes effect by removing the existing container (which doesn't delete the volume) and creating a new one with the updated image and existing volume attached.

Is GPU support available in Docker?

GPU support in Docker is available but varies depending on the platform. Officially, GPU support is provided in Docker for Windows and Docker Engine on Linux. Other platforms, such as Docker Desktop for Linux and MacOS, do not currently offer GPU support. This limitation is important to consider for applications requiring GPU acceleration. For the best experience and to utilize GPU capabilities, we recommend using Docker on platforms that officially support GPU integration.

Join the Novita AI Developer Collaborative Project

We invite developers and AI enthusiasts to join our exciting new collaborative project on GitHub. Novita AI is committed to fostering innovation and pushing the boundaries of AI development. This project is an opportunity for you to collaborate with like-minded developers, contribute to cutting-edge AI tools, and be part of a community that values creativity and technical excellence.

Get in Touch:

• Email: support@novita.ai

• Discord: novita.ai

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