update

docs/OLLAMA_SETUP.md

@@ -248,3 +248,49 @@ docker-compose logs crawler | grep "Title translated"
 | 10 Articles | 90s | 25s | 3.6x |
 
 **Tip:** GPU acceleration is most beneficial when processing many articles in batch.
+
+
+---
+
+## Integration Complete
+
+### What's Included
+
+✅ Ollama service integrated into Docker Compose
+✅ Automatic model download (phi3:latest, 2.2GB)
+✅ GPU support with automatic detection
+✅ CPU fallback when GPU unavailable
+✅ Internal-only access (secure)
+✅ Persistent model storage
+
+### Quick Verification
+
+```bash
+# Check Ollama is running
+docker ps | grep ollama
+
+# Check model is downloaded
+docker-compose exec ollama ollama list
+
+# Test from inside network
+docker-compose exec crawler python -c "
+from ollama_client import OllamaClient
+from config import Config
+client = OllamaClient(Config.OLLAMA_BASE_URL, Config.OLLAMA_MODEL, Config.OLLAMA_ENABLED)
+print(client.translate_title('Guten Morgen'))
+"
+```
+
+### Performance
+
+**CPU Mode:**
+- Translation: ~1.5s per title
+- Summarization: ~8s per article
+- Suitable for <20 articles/day
+
+**GPU Mode:**
+- Translation: ~0.3s per title (5x faster)
+- Summarization: ~2s per article (4x faster)
+- Suitable for high-volume processing
+
+See [GPU_SETUP.md](GPU_SETUP.md) for GPU acceleration setup.