# Build a Private AI App Platform with Dify and Ollama

> Source: <https://dev.to/everylocalai/build-a-private-ai-app-platform-with-dify-and-ollama-1o8e>
> Published: 2026-06-14 21:25:33+00:00

Build custom AI apps - chatbots, RAG pipelines, and agents - entirely on your own hardware with Dify and Ollama. No monthly fees, no data leaving your network.

| Component | Role |
|---|---|
| Dify | Visual app builder, RAG engine, agent framework, API layer |
| Ollama | Serves local models via OpenAI-compatible API |
| Qwen3 14B | Default model - strong general chat, fits 12GB at Q4 |

```
docker run -d --gpus all -p 11434:11434 --name ollama \
  -v ollama:/root/.ollama \
  ollama/ollama
```

Pull your default model:

```
docker exec ollama ollama pull qwen3:14b
git clone https://github.com/langgenius/dify.git
cd dify/docker
cp .env.example .env
docker compose up -d
```

Studio > Create Application > Chatbot. Select your model, add a system prompt, publish. Your chatbot gets a public URL and API endpoint.

Knowledge > Create Knowledge. Upload documents, choose chunking strategy, create an app that uses this knowledge base. Now your chatbot answers from your documents.

Studio > Create Application > Agent. Add tools (web search, code interpreter), give it a goal, Dify orchestrates the tool calls.

| Local | Dify Cloud + OpenAI | |
|---|---|---|
| Monthly | $0 | $59-599 + API usage |
| Hardware | ~$300 once | $0 |
| Data privacy | Stays on your machine | Sent to cloud |
| AI calls | Unlimited, free | Per-token billing |

After about 5 months the GPU has paid for itself versus a mid-tier Dify Cloud plan.

Full guide with detailed troubleshooting and alternatives: [https://everylocalai.com/stack/dify-ollama-local-app-builder](https://everylocalai.com/stack/dify-ollama-local-app-builder)