About

RAG/LLM supported online migration counseling service & improved Integreat search engine. It integrates as a chat service into the Integreat App and presents requests in a Zammad to counselors. The solution aims to be privacy friendly by not using any third party LLM services.

Start Project

1. Install a virtual environment and activate it

   python3 -m venv .venv
   source .venv/bin/activate
   

2. Install all dependencies

   pip install .
   

3. Run the server:

   cd integreat_chat
   python3 manage.py migrate
   python3 manage.py runserver
   

Configuration

Back End

• Deploy as normal Django application. No database is needed.

Zammad Integration

To integrate Zammad, the following configuration has to be set:

• Webhook to https://integreat-cms.example.com/api/v3/webhook/zammad/?token=$REGION_TOKEN
• Trigger for webhook:
  • Conditions: Action is updated, Subject contains not "automatically generated message"
  • Execute: webhook configured above
• Auto response for new tickets in each language, exmple is EN
  • Conditions: State is new, Action is updated, Subject contains not "automatically generated message", Title contains [EN]
  • Execute: Email, visibility public, Recipient Customer, Subject "automatically generated message", add a message fitting the needs