Open WebUI
Extensible, offline-capable web interface for LLM interactions
Open WebUI is a web-based, extensible AI interface that provides a unified GUI for interacting with local and cloud LLMs. It supports multiple LLM runners and OpenAI-compatible APIs, built-in RAG, artifact storage, and collaboration features.
Key Features
- Multi-runner support (Ollama and OpenAI-compatible endpoints) and built-in inference integrations for flexible model selection
- Local Retrieval-Augmented Generation (RAG) with support for multiple vector databases and content extractors
- Image generation and editing integrations with local and remote engines; prompt-based editing workflows
- Granular role-based access control (RBAC), user groups, and enterprise provisioning (SCIM, LDAP/AD, SSO integrations)
- Persistent artifact/key-value storage for journals, leaderboards, and shared session data
- Progressive Web App (PWA) experience, responsive UI, and multi-device support
- Native Python function-calling tools (BYOF) and a web-based code editor for tool/workspace development
- Docker/Kubernetes deployment options, prebuilt image tags for CPU/GPU and Ollama bundles
- Production observability with OpenTelemetry traces, metrics and Redis-backed session management
Use Cases
- Teams wanting a central, auditable chat interface to query multiple LLMs and manage permissions
- Knowledge workers and developers using local RAG pipelines to query private document collections securely
- Experimentation and model comparison workflows combining multiple models, image tools, and custom functions
Limitations and Considerations
- Advanced features (model inference, heavy image generation) require external runners or GPU resources; performance depends on the chosen backend
- Some enterprise integrations and optional storage backends require additional configuration and credentials
- Desktop app is experimental; recommended production deployment paths are Docker, Docker Compose or Kubernetes
Open WebUI is positioned as a flexible interface layer for LLM workflows, emphasizing provider-agnostic integration, RAG, and enterprise features. It is suited for teams that need a full-featured, customizable web UI for local and cloud model workflows.
Categories:
Tags:
Tech Stack:
Similar Services
AnythingLLM
All-in-one AI chat app with RAG, agents, and multi-model support
AnythingLLM is an all-in-one desktop and Docker app for chatting with documents using RAG, running AI agents, and connecting to local or hosted LLMs and vector databases.
LibreChat
Self-hosted multi-provider AI chat UI with agents and tools
LibreChat is a self-hosted AI chat platform that supports multiple LLM providers, custom endpoints, agents/tools, file and image chat, conversation search, and presets.
Khoj
Open-source personal AI for chat, semantic search and agents
Self-hostable personal AI 'second brain' for chat, semantic search, custom agents, automations and integration with local or cloud LLMs.
Netron
Visualizer for neural network and machine learning models
Netron is a model graph viewer for inspecting neural network and ML formats such as ONNX, TensorFlow Lite, PyTorch, Keras, Core ML, and more.
Perplexica
Privacy-focused AI answering engine with web search and citations
Self-hosted AI answering engine that combines web search with local or hosted LLMs to generate cited answers, with search history and file uploads.
Activepieces
AI-first no-code workflow automation with extensible integrations
Open-source automation builder for creating workflows with webhooks, HTTP steps, code actions, and an extensible TypeScript-based integration framework with AI features.
