Open WebUI Tutorial: Self-Hosted AI Workspace and Chat Interface

June 15, 2026 ยท View on GitHub

Learn how to run and operate open-webui/open-webui as a self-hosted AI interface with model routing, RAG workflows, multi-user controls, and production deployment patterns.

GitHub Repo License Docs

Why This Track Matters

Open WebUI is one of the largest self-hosted AI interface projects and commonly sits between users and multiple model backends.

This track focuses on:

  • deploying a reliable self-hosted AI interface
  • connecting and managing multiple model providers
  • implementing knowledge and RAG workflows
  • operating secure multi-user environments in production

Current Snapshot (auto-updated)

  • repository: open-webui/open-webui
  • stars: about 142k
  • GitHub release reference: v0.9.6 (checked 2026-06-15; release metadata on GitHub)

Mental Model

flowchart LR
    A[User Interface] --> B[Open WebUI Core]
    B --> C[Model Routing Layer]
    C --> D[LLM Backends]
    B --> E[RAG and Knowledge Layer]
    B --> F[Auth and User Controls]
    E --> G[Enhanced Responses]

Chapter Guide

ChapterKey QuestionOutcome
01 - Getting StartedHow do I install and run Open WebUI quickly?Working local or container baseline
02 - Model ManagementHow do I connect and manage backend models?Stable model routing setup
03 - Interface CustomizationHow do I tailor UX for teams or products?Custom UI and prompt surfaces
04 - Advanced Chat FeaturesHow do advanced chat/tool features work?More capable interaction workflows
05 - Data and KnowledgeHow do I implement RAG and document ingestion?Knowledge-aware chat experiences
06 - User ManagementHow do I run multi-user securely?Role and access governance
07 - IntegrationsHow do I integrate external services and APIs?Broader platform connectivity
08 - Production DeploymentHow do I deploy and operate at scale?Production operations baseline

What You Will Learn

  • how to deploy and manage Open WebUI in self-hosted environments
  • how to connect multiple LLM backends and route requests effectively
  • how to add RAG and knowledge workflows
  • how to run secure multi-user AI interfaces in production

Source References

Start with Chapter 1: Getting Started.

Full Chapter Map

  1. Chapter 1: Getting Started with Open WebUI
  2. Chapter 2: Model Management & Backend Configuration
  3. Chapter 3: Interface Customization & Personalization
  4. Chapter 4: Advanced Chat Features & Multi-Modal Conversations
  5. Chapter 5: Data, Knowledge Bases & RAG Implementation
  6. Chapter 6: User Management, Authentication & Access Control
  7. Chapter 7: API Integrations, Webhooks & External Service Connections
  8. Chapter 8: Production Deployment, Scaling & Enterprise Configuration

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