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Self-hosted, provider-agnostic web interface for chatting with any local or cloud LLM — with built-in document RAG.

Task: Chatting & AssistingUse case: Self hosted ai interface to connect run and manage any ai model locally or in thModels: ollama, openai, anthropic

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Community tutorials

Summarized from 3 community tutorials · July 2026

What you need

Access: Free tier
Credit card: Required to start
API key: Bring your own
Runs on: Web app · Self-hosted · CLI
You’ll need: VPS or home server (Docker)
Docker installed
OpenAI/Anthropic/etc API key
Terminal/SSH access
Skill level: Some setup — keys, settings, or a connected account
Setup time: about 5 minutes

Worth knowing: Self-hosting means you manage your own server, and connecting premium cloud models (e.g. GPT-4.5) via your own API key bills per token — costs can climb fast for heavy use.

Summarized from 3 community tutorials · July 2026

Highlights

Self-hosted multi-model chat hubOne web interface to chat with local models (Llama, Mistral, DeepSeek via Ollama) and cloud models (GPT, Claude, Gemini, Grok) side by side.
Per-user/group access controlsAdmin creates accounts and groups (e.g. kids, employees), restricts which models/tools each group can access, and can set per-key spending budgets.
Chat history oversightAdmins can open any managed user's chat log to review exactly what was asked and answered.
Document and web-page Q&AUpload a PDF/resume or attach a URL (e.g. a Wikipedia page) and ask questions answered specifically from that content.
Vision and coding modelsSwitch models mid-conversation to analyze an uploaded photo or generate/explain code, with per-response token-speed stats shown.

Summarized from 3 community tutorials · July 2026