Learning to control *when* and *how* to retrieve (not just what to retrieve) significantly improves multi-hop QA—showing that smart operation selection beats simply retrieving more documents.
DynaKRAG learns when and how to retrieve evidence for multi-hop question answering by treating retrieval as a control problem. Instead of following fixed pipelines, it dynamically chooses between operations like retrieving new documents, reformulating queries, or judging if enough evidence exists—based on what's currently known.