The strongest point here is that erasure has to follow the data lineage, not just the original record. In a RAG system, the database row is only one representation; chunks, embeddings, caches, generated answers, logs, staged work, and even older index generations can all become independent persistence points.

One production detail I’d emphasize is treating the source revision as a fencing mechanism, not just metadata. In production RAG work at IT Path Solutions, this is the kind of boundary that prevents an already-running ingestion job from republishing an obsolete revision after deletion has started. Provenance tells you what to remove; controlled publication tells you it cannot quietly come back.

That distinction also makes verification much stronger: “the delete call succeeded” is an execution result, while “no covered revision can still be served or republished” is the actual system invariant.