- Document integration steps
- Test retrieval performance under load
- Create interface.py in AquaponicAISystem
- Add /api/knowledge/query endpoint
- Update dashboard with "Get Info" buttons
- Test end-to-end: sensor → query → display
- "Ask AI" button (optional LLM)
- Query caching for common questions
- Historical query logging
- User feedback on answer quality
- Consider running Ollama on Mac for speed
- Explore WebSocket for streaming LLM responses
- Add query analytics dashboard