open-webuiUser-friendly AI Interface (Supports Ollama, OpenAI API, ...)

open-webui

Open WebUI is an extensible, self-hosted AI platform that operates entirely offline and supports various LLM runners like Ollama and OpenAI-compatible APIs. It provides a user-friendly interface for deploying and managing language models with built-in RAG capabilities and a powerful inference engine.

Key Features

• Seamless Integration: Connect Ollama and OpenAI-compatible APIs including LMStudio, GroqCloud, Mistral, and OpenRouter for versatile conversations
• Local RAG: Retrieve Augmented Generation with 9 vector databases and multiple content extraction engines for document-based queries
• Voice & Video Calls: Hands-free communication with multiple Speech-to-Text and Text-to-Speech providers integrated
• Model Builder: Create custom Ollama models and characters directly through the web interface
• Web Search Integration: 15+ search providers for injecting real-time information into conversations
• Image Generation: Create and edit images using DALL-E, Gemini, ComfyUI, and other engines
• Role-Based Access Control: Granular permissions and user groups for secure multi-user environments
• Progressive Web App: Native app-like experience on mobile with offline localhost access
• Python Function Tools: Built-in code editor for adding custom Python functions to enhance LLM capabilities

Use Cases

• Private AI Deployment: Run AI models completely offline without external API dependencies
• Enterprise Knowledge Management: Use RAG with web search to build intelligent systems that retrieve and reason over corporate documents
• Custom AI Assistants: Build specialized chatbots and agents with custom characters and functions tailored to specific domains
• Multi-Model Collaboration: Leverage different models simultaneously for comparative analysis and optimal responses
• Document Intelligence: Extract insights from documents, PDFs, and web content through integrated RAG pipelines

Who Is It For

Open WebUI is designed for organizations, developers, and power users who want to deploy AI models privately without cloud dependencies. It's ideal for teams requiring customizable interfaces, granular access control, and the ability to integrate multiple LLM sources while maintaining complete data sovereignty.