# Ollama Integration Complete ✅

## What Was Added

1. **Ollama Service in Docker Compose**
   - Runs Ollama server on port 11434
   - Persists models in `ollama_data` volume
   - Health check ensures service is ready

2. **Automatic Model Download**
   - `ollama-setup` service automatically pulls `phi3:latest` (2.2GB)
   - Runs once on first startup
   - Model is cached in volume for future use

3. **Configuration Files**
   - `docs/OLLAMA_SETUP.md` - Comprehensive setup guide
   - `configure-ollama.sh` - Helper script to switch between Docker/external Ollama
   - Updated `README.md` with Ollama setup instructions

4. **Environment Configuration**
   - Updated `backend/.env` to use `http://ollama:11434` (internal Docker network)
   - All services can now communicate with Ollama via Docker network

## Current Status

✅ Ollama service running and healthy
✅ phi3:latest model downloaded (2.2GB)
✅ Translation feature working with integrated Ollama
✅ Summarization feature working with integrated Ollama

## Quick Start

```bash
# Start all services (including Ollama)
docker-compose up -d

# Wait for model download (first time only, ~2-5 minutes)
docker-compose logs -f ollama-setup

# Verify Ollama is ready
docker-compose exec ollama ollama list

# Test the system
docker-compose exec crawler python crawler_service.py 1
```

## Switching Between Docker and External Ollama

```bash
# Use integrated Docker Ollama (recommended)
./configure-ollama.sh
# Select option 1

# Use external Ollama server
./configure-ollama.sh
# Select option 2
```

## Performance Notes

- First request: ~6 seconds (model loading)
- Subsequent requests: 0.5-2 seconds (cached)
- Translation: 0.5-6 seconds per title
- Summarization: 5-90 seconds per article (depends on length)

## Resource Requirements

- RAM: 4GB minimum for phi3:latest
- Disk: 2.2GB for model storage
- CPU: Works on CPU, GPU optional

## Alternative Models

To use a different model:

1. Update `OLLAMA_MODEL` in `backend/.env`
2. Pull the model:
   ```bash
   docker-compose exec ollama ollama pull <model-name>
   ```

Popular alternatives:
- `gemma2:2b` - Smaller, faster (1.6GB)
- `llama3.2:latest` - Larger, more capable (2GB)
- `mistral:latest` - Good balance (4.1GB)