Generative AI holds immense potential to transform businesses, bringing efficiency and scalability to use cases across sectors. The key to success lies in combining powerful Generative AI models with rich proprietary datasets and operational data streams, allowing modern organizations to build differentiated AI applications for their unique business needs.
This cookbook discusses the technical and architectural requirements for building enterprise applications powered with Generative AI and Apache Airflow®, and explores:
- Key challenges posed by orchestrating Generative AI applications in production
- Reliable and scalable ways to orchestrate data workflows to feed Generative AI models with up-to-date enterprise data
- The top six reference architectures to help get you started
Read on to learn how to get started deploying Generative AI applications into production with Apache Airflow®.
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