𝗕𝘂𝗶𝗹𝗱 𝗔 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗔𝗜 𝗔𝗽𝗽 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗪𝗶𝘁𝗵 𝗗𝗶𝗳𝘆 𝗮𝗻𝗱 𝗢𝗹𝗹𝗮𝗺𝗮

𝗕𝘂𝗶𝗹𝗱 𝗔 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗔𝗜 𝗔𝗽𝗽 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗪𝗶𝘁𝗵 𝗗𝗶𝗳𝘆 𝗮𝗻𝗱 𝗢𝗹𝗹𝗮𝗺𝗮

You can build custom AI apps on your own hardware. Create chatbots, RAG pipelines, and agents without monthly fees. Your data stays on your network.

Requirements:

• GPU with 12GB+ VRAM (RTX 3060 12GB or better)
• Docker and Docker Compose 2.24.0+
• Time: 20 minutes

The Tech Stack:

• Dify: Visual app builder and agent framework.
• Ollama: Runs local models via API.
• Qwen3 14B: The model for general chat.

Setup Steps:

1. Run Ollama with Docker: docker run -d --gpus all -p 11434:11434 --name ollama -v ollama:/root/.ollama ollama/ollama

2. Pull your model: docker exec ollama ollama pull qwen3:14b

3. Install Dify: git clone https://github.com/langgenius/dify.git cd dify/docker cp .env.example .env docker compose up -d

4. Configure Dify:

• Open http://localhost/install.
• Go to Settings > Model Provider.
• Select Ollama.
• Model Name: qwen3:14b
• Base URL: http://host.docker.internal:11434 (Docker Desktop) or http://YOUR_IP:11434 (Linux)

What you can build:

• Chatbots: Create a chatbot with a system prompt and a public URL.
• Knowledge Bases: Upload documents to build RAG pipelines. Your chatbot answers using your files.
• Agents: Add tools like web search or code interpreters to give your AI goals.

Comparison:

Local Setup:

• Cost: $0 monthly.
• Hardware: One-time cost.
• Privacy: Data stays on your machine.
• AI calls: Unlimited and free.

Cloud Setup:

• Cost: $59 to $599 monthly plus API fees.
• Privacy: Data goes to the cloud.
• AI calls: You pay per token.

A new GPU pays for itself in 5 months compared to cloud plans.

Full guide: https://everylocalai.com/stack/dify-ollama-local-app-builder Source: https://dev.to/everylocalai/build-a-private-ai-app-platform-with-dify-and-ollama-1o8e

Optional learning community: https://t.me/GyaanSetuAi