2.0 KiB
2.0 KiB
TicketAssistant (Laravel 13 + pgvector + external Ollama)
AI-powered customer support ticket system using semantic retrieval + LLM re-ranking.
Requirements
- Docker Desktop
- Docker Compose v2
- Ollama running on a reachable network server
Quick Start (Docker)
- Create environment file
cp .env.docker.example .env
- Set the external Ollama URL in
.env
OLLAMA_BASE_URL=http://<OLLAMA_SERVER_IP_OR_HOSTNAME>:11434
- Build and start containers
docker compose up -d --build
- Install PHP dependencies in app container
docker compose exec app composer install
- Generate app key and run database setup
docker compose exec app php artisan key:generate
docker compose exec app php artisan migrate --seed
API base URL: http://localhost:8090/api
Admin dashboard: http://localhost:8090/admin/dashboard
Admin Dashboard (Blade + Livewire)
/admin/dashboard: KPI cards + recente tickets + recente AI decisions/admin/articles: artikel aanmaken + artikeloverzicht/admin/tickets: tickets met AI-classificatie-overzicht
Business logic is isolated in service classes:
App\Services\AdminDashboardServiceApp\Services\AdminArticleServiceApp\Services\AdminTicketService
Services
web: Nginx (public endpoint)app: PHP-FPM Laravel runtimeworker: queue worker for async jobspostgres: PostgreSQL 17 + pgvector
Notes
- No external AI APIs are used.
- Ollama runs outside Docker on your network.
- Set
QUEUE_EMBEDDINGS=truefor async article embedding generation.
Helpdesk Scraper Command
Importeer artikelen vanaf InternetToday Helpdesk (categorieen + subcategorieen):
docker compose exec app php artisan helpdesk:import
Opties:
# test zonder schrijven
docker compose exec app php artisan helpdesk:import --dry-run
# verwerk alleen eerste N artikelen
docker compose exec app php artisan helpdesk:import --limit=25
# custom base-url
docker compose exec app php artisan helpdesk:import --base-url=https://www.internettoday.nl/helpdesk