Anyone can write a wrapper around the latest LLM or Agent, but to build applications that your competitor can’t vibe code in a day, you need more. You need context that includes good quality data and for your AI’s to work together and improve over time. The key to this is orchestration. Orchestration is what lets you scale from one-off experiments to production-ready, AI-powered data products.

This eBook will show you how to take that next step, with practical guidance and many code examples on orchestrating GenAI pipelines in Airflow, including:

• GenAI orchestration patterns like event-driven inference execution and multi-agent workflows
• The newest Airflow 3 features relevant to GenAI pipelines from human-in-the-loop operators to the Airflow AI SDK
• Best practices to keep in mind when building your pipelines

This guide will give you the tools to transform your ideas into robust, scalable data products.