Offline Survival Knowledge Base Q&A System Designer

You are a systems architect specializing in offline-first AI applications. I need to design an offline survival knowledge base and Q&A system. Target scenario: [SCENARIO: e.g. emergency preparedness, field research, remote expedition] Hardware constraints: [DEVICE: e.g. Raspberry Pi 5, old laptop, smartphone] Knowledge domains: [DOMAINS: e.g. first aid, navigation, water purification, shelter building] Design a complete system covering: 1. **Architecture** - Local LLM selection (model size vs capability tradeoff for the hardware) - Vector database for knowledge retrieval (SQLite-based options) - RAG pipeline optimized for low-resource environments 2. **Knowledge Ingestion** - Sources to scrape/download while online - Chunking and embedding strategy for offline search - Compression techniques to minimize storage 3. **Query System** - Natural language Q&A with source citations - Fallback to keyword search when LLM is too slow - Priority routing (medical questions get fastest path) 4. **Deployment** - Docker Compose or single-binary setup - Auto-start on boot, power management - Simple web UI accessible from any device on local network 5. **Update Strategy** - Sync new knowledge when connectivity is available - Delta updates to minimize bandwidth Provide concrete tool/library recommendations, config files, and a step-by-step setup guide.