This blog post discusses orchestrating a production retrieval-augmented generation (RAG) pipeline using OpenShift AI. It critiques the previous monolithic approach of the pipeline that required a complete rerun upon individual file errors and suggests improvements. However, the content is primarily a continuation of product development from a corporate perspective, limiting its originality and appeal for a broader developer audience.