Find answers to common questions or contact our support team.
Frequently Asked Questions
Getting Started
How do I create my first DAG?
Use the AI Assistant to describe your workflow in plain English, or use the Visual Builder to drag and drop tasks. Start with our Getting Started Guide.
Do I need to know Python?
No! The AI Assistant generates complete Python code from natural language descriptions. Basic Python knowledge is helpful but not required.
What's the difference between AI Assistant and Visual Builder?
AI Assistant converts natural language to DAGs automatically. Visual Builder provides a drag-and-drop interface. Both produce production-ready DAGs.
Features
How does the AI Assistant work?
Describe your workflow in plain English, and the AI creates a complete DAG with error handling, logging, and best practices.
Can I use custom operators?
Yes! You can add custom operators to your DAGs. The AI Assistant will suggest appropriate operators based on your environment.
How does GitHub integration work?
Connect your GitHub repository to automatically sync DAGs and deploy them to your Airflow instance.
Technical
What Airflow versions are supported?
DAGForge generates DAGs compatible with Airflow 2.0+ and follows current best practices.
How do I troubleshoot DAG failures?
Use the real-time validation feature to catch errors before deployment. For runtime issues, check Airflow logs and use debugging tools.
Can I import existing DAGs?
Yes! You can import existing Python DAGs into DAGForge for editing and enhancement.
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