Open WebUI

Product Description

Open WebUI is a versatile and extensible self-hosted AI platform designed to operate fully offline. It supports various language model runners like Ollama and OpenAI-compatible APIs, features a built-in inference engine for Retrieval Augmented Generation (RAG), and offers a seamless user experience across devices. Open WebUI combines advanced security, ease of use, and powerful AI deployment capabilities to enhance productivity and accessibility for both individual developers and enterprise solutions. With its extensive plugin support and continuous updates, Open WebUI ensures users stay ahead in the AI technology curve.

Features

• Effortless Installation: Set up quickly using Docker, Kubernetes, or Python pip for flexible deployment options.
• Ollama and OpenAI Integration: Leverage OpenAI-compatible APIs and Ollama models for dynamic, responsive interactions.
• Granular Permissions and Role-Based Access Control (RBAC): Secure your platform with customizable roles and permissions for users.
• Responsive Design with PWA Support: Enjoy a smooth experience across desktops, laptops, and mobile devices with offline access capabilities.
• Markdown and LaTeX Support: Enhance chat interactions with enriched content formatting options.
• Voice and Video Call Features: Seamlessly integrate communication tools into your AI interactions.
• Local RAG Integration: Incorporate document-based queries and retrieval for advanced conversational AI capabilities.
• Web Search Integration: Use multiple search providers like Google, DuckDuckGo, and Brave Search for direct query injection.
• Image Generation Tools: Generate images with AUTOMATIC1111, ComfyUI, or OpenAI's DALL-E for visual enhancement.
• Concurrent Model Conversations: Interact with multiple language models simultaneously for diverse outputs.
• Native Python Function Support: Build custom functionalities with native Python code integration.
• Pipelines Plugin Framework: Extend Open WebUI’s capabilities with custom plugins for tasks like translation, usage monitoring, and more.
• Multilingual Support: Experience seamless language options with internationalization (i18n).
• Continuous Updates: Benefit from ongoing improvements, new features, and bug fixes.

Technology Stack

• Containerization Tools: Docker and Kubernetes for scalable, portable deployments.
• Programming Language: Python for extensibility and developer-friendly customization.
• API Support: Ollama and OpenAI-compatible APIs for flexible model integration.
• Web App Framework: Progressive Web App (PWA) for native-like user experience.
• Text and Rendering Tools: Markdown, LaTeX, and RAG engines for content richness.
• Image Generation Frameworks: AUTOMATIC1111, ComfyUI, and OpenAI DALL-E for creative outputs.
• Search and Query: Integration with search providers for enhanced conversational context.

Requirements

• Python 3.11 for pip installation.
• Docker or Kubernetes for containerized deployment.
• Optional: Nvidia CUDA toolkit for GPU acceleration.