Resilience by Design: Protecting Enterprise RAG on Red Hat OpenShift AI
Veeam, Thursday, November 5th, 2026
A new Red Hat AI QuickStart shows how Veeam Kasten protects and recovers a RAG application on OpenShift AI as a coordinated system.
Red Hat AI QuickStarts are deployable examples for evaluating AI use cases on the Red Hat AI platform, and a new one, Protect Enterprise RAG Knowledge with Veeam Kasten on OpenShift, focuses on resilience for RAG applications.
The example RAG app on OpenShift AI includes Llama Stack, PostgreSQL with pgvector, object storage, data pipelines, model-serving services and Kubernetes resources.
Veeam says backing up components in isolation can leave embeddings disconnected from source documents or force re-running ingestion, so Kasten protects the application state needed to recover the environment coherently.
Through Kanister it performs logical backups of the pgvector database, which also supports migration, cloning and testing.