With the individual components of a large-scale RAG system understood, the next step is to effectively deploy and manage them in a production setting. This chapter addresses the practical aspects of operationalizing your RAG solutions. You will learn to implement workflow orchestration using tools like Airflow or Kubeflow, and deploy RAG components as microservices managed by Kubernetes. We will also examine MLOps practices, including setting up CI/CD pipelines, comprehensive monitoring, and A/B testing frameworks. Finally, we'll discuss strategies for optimizing the operational costs of cloud-based RAG deployments.
5.1 Workflow Orchestration with Airflow or Kubeflow
5.2 Microservice Design Patterns for RAG Components
5.3 Containerization and Kubernetes for RAG Deployment
5.4 Advanced Monitoring Logging and Alerting for Distributed RAG
5.5 CI CD Pipelines for RAG Systems
5.6 A B Testing and Experimentation Frameworks for RAG
5.7 Cost Optimization Strategies for Cloud-Based RAG
5.8 Hands-on Practical: Deploying RAG on Kubernetes with Monitoring