refactor(search): remove NLP/smart-search feature entirely (#772)

## Summary

- Removes the NLP/smart-search feature completely — the feature was too unreliable and slow; users get better results with the regular search filters
- Deletes the entire backend `search/` package (NlSearchController, NlQueryParserService, NlpClient, NlSearchRateLimiter — 14 classes + 6 test classes)
- Deletes the `nlp-service/` Python microservice (FastAPI, rapidfuzz, DB-backed person matching)
- Removes all frontend NL search components: SmartModeToggle, SmartSearchStatus, InterpretationChipRow, DisambiguationPicker, chip-types, theme-chip-removal
- Strips smart-mode logic from SearchFilterBar and documents/+page.svelte
- Removes `SMART_SEARCH_UNAVAILABLE` / `SMART_SEARCH_RATE_LIMITED` error codes from backend, frontend types, and all three i18n files (de/en/es)
- Removes `nlp-service` container and `APP_NLP_BASE_URL` from both docker-compose files
- Removes Ollama/NLP Prometheus scrape job and Grafana dashboard
- Deletes ADRs 028 (×2), 034, 035

## Test plan

- [ ] Backend compiles: `cd backend && ./mvnw compile -q` → BUILD SUCCESS
- [ ] Frontend server tests pass: `cd frontend && npm run test -- --project=server`
- [ ] No NLP/smart-search references remain in source: `grep -r "SmartSearch\|NlSearch\|nlp-service\|SMART_SEARCH" backend/src frontend/src`
- [ ] `docker compose config` validates both compose files
- [ ] Search page loads, filter bar works, no smart-mode toggle visible

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Marcel <marcel@familienarchiv>
Reviewed-on: #772

docker-compose.yml

@@ -141,75 +141,6 @@ services:
     security_opt:
       - no-new-privileges:true
 
-  # --- Ollama: Model init (one-shot pull) ---
-  # Pulls qwen2.5:7b-instruct-q4_K_M (~4.7 GB) into the ollama_models volume on first start.
-  # On subsequent starts (model already in volume), exits quickly without re-downloading.
-  # Not started in CI — CI uses explicit service selection
-  # (docker-compose.ci.yml: db minio create-buckets)
-  ollama-model-init:
-    image: ollama/ollama:0.30.6
-    restart: "no"
-    networks:
-      - archiv-net
-    volumes:
-      - ollama_models:/root/.ollama
-    mem_limit: 2g
-    read_only: true
-    tmpfs:
-      - /tmp:size=512m
-    cap_drop:
-      - ALL
-    security_opt:
-      - no-new-privileges:true
-    # The image ENTRYPOINT is `ollama`, so override it to a shell; the image has
-    # no curl, so readiness is probed with `ollama list` instead of a curl loop.
-    # The pull is guarded by a `grep` on the cached model list so an already-cached
-    # model exits clean without a registry round-trip (offline-safe re-up).
-    entrypoint: ["/bin/sh", "-c"]
-    command:
-      - "ollama serve & until ollama list >/dev/null 2>&1; do sleep 1; done && (ollama list | grep -q 'qwen2.5:7b-instruct-q4_K_M' || ollama pull qwen2.5:7b-instruct-q4_K_M)"
-
-  # --- Ollama: LLM inference server ---
-  # Serves the pre-pulled model for NL search inference.
-  # Not started in CI — CI uses explicit service selection
-  # (docker-compose.ci.yml: db minio create-buckets)
-  ollama:
-    image: ollama/ollama:0.30.6
-    container_name: archive-ollama
-    restart: unless-stopped
-    expose:
-      - "11434"
-    networks:
-      - archiv-net
-    volumes:
-      - ollama_models:/root/.ollama
-    environment:
-      OLLAMA_API_KEY: "${OLLAMA_API_KEY}"
-      # Pin the model in memory (no idle unload) so queries never pay a cold-load
-      # penalty that exceeds the backend read timeout → NL search 503 after idle.
-      OLLAMA_KEEP_ALIVE: "-1"
-    cpus: "${OLLAMA_CPU_LIMIT:-4.0}"
-    mem_limit: "${OLLAMA_MEM_LIMIT:-8g}"
-    memswap_limit: "${OLLAMA_MEM_LIMIT:-8g}"
-    read_only: true
-    tmpfs:
-      - /tmp:size=512m
-    cap_drop:
-      - ALL
-    security_opt:
-      - no-new-privileges:true
-    healthcheck:
-      # `ollama list` hits the local API and exits non-zero if the server is
-      # down — used instead of curl, which the image does not ship.
-      test: ["CMD", "ollama", "list"]
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 60s  # model weights are pre-loaded by ollama-model-init; service only needs to bind port
-    depends_on:
-      ollama-model-init:
-        condition: service_completed_successfully
-
   # --- Backend: Spring Boot ---
   backend:
     build:
@@ -253,8 +184,6 @@ services:
       SPRING_MAIL_PROPERTIES_MAIL_SMTP_STARTTLS_ENABLE: ${MAIL_STARTTLS_ENABLE:-false}
       APP_OCR_BASE_URL: http://ocr-service:8000
       APP_OCR_TRAINING_TOKEN: "${OCR_TRAINING_TOKEN:-}"
-      APP_OLLAMA_BASE_URL: "${APP_OLLAMA_BASE_URL:-http://ollama:11434}"
-      APP_OLLAMA_API_KEY: "${OLLAMA_API_KEY}"
       SENTRY_DSN: ${SENTRY_DSN:-}
       SENTRY_TRACES_SAMPLE_RATE: ${SENTRY_TRACES_SAMPLE_RATE:-1.0}
       # Observability: send traces to Tempo inside archiv-net (OTLP gRPC port 4317)
@@ -318,4 +247,3 @@ volumes:
   frontend_node_modules:
   ocr_models:
   ocr_cache:
-  ollama_models: