code/doc/Optimization.md

Performance Optimization

API Performance Issues

If you experience slow response times or endless loops:

1. Check System Resources

   # Monitor CPU and memory usage
   htop
   
   # Check GPU memory (if using GPU)
   nvidia-smi
   

2. Run Performance Tests

   # Test API performance
   python scripts/monitor_performance.py
   

3. Optimize Configuration

   # Reduce batch sizes for memory-constrained systems
   export EMBEDDING_BATCH_SIZE=32
   export MAX_CONTEXT_LENGTH=4096
   
   # Use CPU-only mode if GPU memory is insufficient
   export DEVICE=cpu
   

4. Common Performance Issues

   • Endless loops: Usually caused by LLM generation timeouts. Check your Ollama/Hugging Face connection.
   • Slow searches: Vector database may need optimization. Consider rebuilding with smaller chunks.
   • Memory issues: Reduce MAX_SEARCH_RESULTS and MAX_CONTEXT_LENGTH in config.

5. Timeout Settings

   • Embedding generation: 5 seconds
   • Vector search: 10 seconds
   • LLM generation: 30 seconds
   • Query routing: 5 seconds

Performance Monitoring

The system includes built-in performance monitoring:

# Monitor real-time performance
python scripts/monitor_performance.py

# Check API health
curl http://localhost:8000/api/v1/health

# Test specific endpoints
curl -X POST http://localhost:8000/api/v1/search \
  -H "Content-Type: application/json" \
  -d '{"query": "CVE-2021-44228", "top_k": 5}'