# Run AI Chat Assistants Entirely Offline With Open WebUI ⭐

**URL:** <https://onehack.st/t/run-ai-chat-assistants-entirely-offline-with-open-webui/309144>\
**Category:** Tutorials & Methods\
**Tags:** tools, privacy, business, ai\
**Created:** [July 30, 2025, 7:40pm UTC](https://onehack.st/t/run-ai-chat-assistants-entirely-offline-with-open-webui/309144 "2025-07-30T19:40:00Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Aina](https://onehack.st/user_avatar/onehack.st/aina/32/167469_2.png) [@Aina](https://onehack.st/u/Aina)\
**Post date:** [July 30, 2025, 7:40pm UTC](https://onehack.st/t/run-ai-chat-assistants-entirely-offline-with-open-webui/309144/1 "2025-07-30T19:40:00Z")

</div>

Run AI Chat Assistants Entirely Offline with Open WebUI ⭐

**AI chat assistants** have become indispensable for everything from creative writing to coding help. However, their constant need for an internet connection and reliance on third-party servers can raise concerns around **privacy** , **security** , and **data control**. A powerful solution is now available: running your own fully offline **AI chatbot** using **Open WebUI** —a self-hosted interface that lets you interact with **LLMs (Large Language Models)** locally.

### 🔧 **Why Use Open WebUI?**

**Open WebUI** is an open-source platform designed to manage and interact with LLMs through a modern web interface. It offers:

- **Markdown & LaTeX support**
- **RAG (Retrieval Augmented Generation)**
- **Multimodal capabilities (text + image)**
- **Role-based access control**
- Integration with **SearXNG** for private web search

🔗 [Open WebUI Website](https://openwebui.com/)

* * *

### ⚙ **System Prerequisites**

You’ll need two key components:

1. **[Docker](https://www.docker.com/)** – For containerized setup.
2. **Ollama** – A model orchestration engine.  
➤ Set up guide: _Getting Started with Ollama_ (link from the article)

Check if Ollama is running:

```bash
curl http://localhost:11434/api/version

```

* * *

### 🖥 **System Requirements**

**Hardware**

- **CPU** : 4+ cores
- **RAM** : 8GB minimum, 16GB recommended
- **Storage** : ~10GB for base, 4–15GB per model
- **GPU** (optional): NVIDIA CUDA / AMD ROCm

**Software**

- Linux (Ubuntu 20.04+), macOS 12+, or Windows with WSL2
- Modern browser: Chrome, Firefox, Safari, Edge
- Latest Docker version

* * *

### 🚀 **Installation Command**

Launch Open WebUI using Docker:

```bash
docker run -d -p 3000:8080 \
--add-host=host.docker.internal:host-gateway \
-v open-webui:/app/backend/data \
--name open-webui --restart always \
ghcr.io/open-webui/open-webui:main

```

Access it at [http://localhost:3000](http://localhost:3000)  
Allow a few minutes if it doesn’t load immediately (initialization time).

* * *

### 🧾 **Create Admin Account**

After setup, register an account with your **name, email, and password**. This gives you access to the dashboard and model management.

* * *

### 🧠 **Model Selection**

Click **“Select a model”** \> search for your preferred LLM (e.g., `llama3.2`) \> click **“Pull from [Ollama.com](http://Ollama.com)”**.  
Alternatively, use this command:

```bash
ollama pull llama3.2

```

You can now choose the model in the dropdown.

* * *

### 📊 **Model Comparison**

| Model | Size | Best Use | Limitation |
| --- | --- | --- | --- |
| `llama3.2` | ~4GB | Text, coding, analysis | No image support, 2023 cutoff |
| `llama3.2-vision` | ~8GB | Multimodal, image input | More RAM needed, slower |

Choose based on:

- Hardware specs
- Use case (text vs image)
- Response speed
- Disk space

* * *

### 💬 **Chatting with the AI**

Once selected, start chatting! Sample queries:

- What is the capital of Indonesia?
- Who wrote _Lord of the Rings_?
- What’s the boiling point of water?

📌 Note: Models like `llama3.2` are trained on data up to 2023.

* * *

### 🧰 **Troubleshooting Tips**

**Docker won’t start?**

```bash
lsof -i :3000 # Check port
systemctl status docker
docker logs open-webui

```

**Ollama not connecting?**

```bash
curl http://localhost:11434/api/version
docker exec open-webui curl http://host.docker.internal:11434/api/version
systemctl restart ollama && docker restart open-webui

```

**Model download fails?**

```bash
df -h # Check disk
ollama pull modelname # Use CLI
rm -rf ~/.ollama/models/* # Clear cache

```

* * *

### 💡 **Advanced Features**

**🔎 Web Search with SearXNG**

```bash
docker run -d --name searxng -p 8080:8080 -v searxng-data:/etc/searxng searxng/searxng

```

Then go to Settings → Advanced → Enable Web Search → Enter `http://localhost:8080`.

**🔐 Role-based Access Control**

- **Admin** : Full access
- **Power User** : Model/RAG control
- **Basic User** : Chat-only access

**📚 RAG (Retrieval-Augmented Generation)**

- Upload documents (PDF, TXT, DOCX, etc.)
- Enable in settings:

```json
{
  "rag_enabled": true,
  "chunk_size": 500,
  "chunk_overlap": 50,
  "document_lang": "en"
}

```

* * *

### 🖼 **Multimodal Interaction (Image + Text)**

Use models like `llama3.2-vision` to send an image and ask questions about it.

📌 Example prompt:

> _What’s the primary focus of this picture?_  
> → Model identifies objects, colors, and context.

🔗 [Example image](https://openverse.org/image/a9e0bff3-3272-4c3a-bbd4-92e542e1f41a?q=bicycle&p=7)

* * *

### ✅ **Conclusion**

Open WebUI offers a **complete offline AI chat assistant** experience, fully customizable and secure. Ideal for developers, privacy-conscious users, or anyone wanting direct control over their LLMs. Whether you’re building a local assistant or experimenting with multimodal AI, this setup provides an exceptional foundation.

## ENJOY & HAPPY LEARNING! ❤