Propagate deletion through dependent stores
A source deletion can leave copies in indexes, caches, generated summaries and stored conversation context. Map those dependencies and define what removal means for each. Keep the process consistent with the system's data-handling obligations and retention policy. Do not assume that a broken source link proves the information can no longer be retrieved.
Worked example
Illustrative scenario; not a claim of measured client results.
For a withdrawn document, remove or deactivate its indexed segments and invalidate relevant cached answers. Test both the original title and questions that previously retrieved its contents. If a historical record must remain for an authorized purpose, separate that retention from ordinary answer access and make the boundary explicit.
Checks, limitations and next decisions
When removed material still appears, trace the source identifier through the retrieval and cache layers. Check whether another document contains the same content before concluding the deletion job failed. Record completion and any exceptions so operators can demonstrate what was removed from the active system. Avoid exposing deleted text in diagnostic logs while investigating the issue.
A practical starting point
Work through these checks in order. Use the results to decide what needs to change in your own workflow.
- Map every place derived document content is stored.
- Remove the document from retrieval and invalidate affected cached results.
- Test questions that previously depended on it.
A mistake to avoid
Do not promise immediate deletion without checking the full data path and applicable retention rules.
How to check progress
Record deletion completion across systems and test for residual retrieval.
Your action checklist
Use this checklist while reviewing your own setup. Checkmarks are temporary and stay in this open page.
For the wider decision process, read When retrieval is the right addition to an AI assistant.
Further reading
Official background resources for this topic. The workflow above is general guidance, not a guarantee of a particular result.
AI-assisted editorial content. Examples are illustrative, not client case studies. Read our editorial policy or report a correction.