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Learn to automate Retrieval-Augmented Generation (RAG) workload deployments using Red Hat Developer Hub, OpenShift, and GitOps workflows in this 37-minute conference talk. Discover how to build a golden path for AI chatbot deployment that combines DevOps best practices with developer experience tooling to streamline complex AI application onboarding. Explore the implementation of automated GitOps repository scaffolding, Argo CD manifests, and Helm chart deployments through a single template system that integrates AI model inference, GPU support, and pipeline-ready infrastructure from the start. Master the techniques for creating faster, more consistent, and fully auditable AI application deployments using Red Hat Developer Hub as the foundation for automating RAG deployments within a GitOps framework. Gain practical insights for scaling internal platforms and supporting LLM projects, with actionable steps to achieve production-ready deployments confidently and repeatably, making this session valuable for developers, administrators, and DevOps engineers working with AI workloads.
