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# Tera V2
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AI Document Intelligence powered by local Ollama (qwen3.5:0.8b)
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## Requirements
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- Ollama installed (https://ollama.com)
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- qwen3.5:0.8b model: `ollama pull qwen3.5:0.8b`
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- Node.js (for backend only)
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## Quick Start
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### 1. Start Ollama (Terminal 1)
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```bash
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ollama run qwen3.5:0.8b
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```
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### 2. Start Backend (Terminal 2)
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```bash
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npm install
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npm start
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```
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### 3. Open Frontend
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Double-click `tera-docs.html` in your browser
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## Configuration
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Edit `.env` to change model or port:
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```env
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OLLAMA_URL=http://localhost:11434
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MODEL=qwen3.5:0.8b
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PORT=5000
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```
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## Features
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- Chat with documents
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- File upload (PDF, TXT, images)
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- Audio generation
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- Dark mode
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- 100% local - no API keys
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## Cloud Deployment
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For cloud deployment without local Node.js, use included Docker files:
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- `Dockerfile` - Container definition
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- `start.sh` - Startup script
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Deploy to Hugging Face Spaces, RunPod, or any Docker host.
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## License
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MIT + Qwen License (see LICENSE file)
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Tera V2 is a rebranded deployment of Qwen3.5 for document intelligence tasks.
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