Retrieval-Augmented Generation (RAG) workloads are powerful—but deploying them can be complex. In this session, I’ll walk through how we built a golden path for AI chatbot deployment using Red Hat Developer Hub on OpenShift, GitOps workflows, and Argo CD. With a single template, we automate GitOps repository scaffolding, Argo CD manifests, and Helm chart deployments—integrating AI model inference, GPU support, and pipeline-ready structure from the start.

You’ll see how we combined DevOps best practices with developer experience tooling to make AI application onboarding faster, more consistent, and fully auditable.

Ideal for developers, admins, and DevOps engineers, this session shows how Red Hat Developer Hub can serve as the foundation for automating complex RAG deployments within a GitOps framework. Whether you’re supporting LLM projects or scaling internal platforms, you’ll leave with practical steps to go from zero to production-ready—confidently and repeatably.