What is RAG engineering and how is it different from ML engineering?

RAG engineering builds retrieval-augmented generation systems that ground large language models in a curated knowledge base. The work is closer to information retrieval and search than to traditional ML training. RAG engineers tune embeddings, chunking, retrieval ranking, and the prompt construction that turns retrieved chunks into context.