What the documents look like
Cross-border return refurbishment and resale handles reverse logistics and item condition. It sits on a different chain from overseas-warehouse first-leg replenishment, so the operating review and exception retrospective for this category cites return quality-inspection sheets, refurbishment records, scrap sheets and relisting checklists. These materials update daily or per batch, and a review must cite the version that matches the relevant batch and date. When inspection photos, return reports and warehouse records disagree on subject, object, status or valid scope, a citation can carry an unsupported conclusion into the retrospective.
Two industry facts shape this task. First, the primary data sources are the overseas-warehouse WMS, the TikTok return center, the Amazon return report and item quality-inspection photos; a review conclusion therefore has to trace back to one of these named sources rather than to a summary. Second, the three most time-consuming steps are grading the return, arranging refurbishment and packaging, and deciding scrap versus resale, so the citation step frequently has to separate a completed physical stage from a later commercial decision.
Constraints at the citation tracing step
Citation tracing and source verification require every review conclusion to return to the specific source text. The knowledge-base search node outputs cited content as an array, and its length can be zero; when no content is found, that output path still runs through. Retrieval only resolves content recall and does not perform authorization judgment. The minimum relevance value is a filter threshold and cannot serve as a permission or entity-isolation mechanism. Linked knowledge bases must share the same vector model; bases with different vector models cannot be linked together. During verification, check the identifier first, exclude non-conforming bases, and record the actual observation. Hybrid retrieval fuses multiple result paths through RRF, which is a process and has no separate switch. Re-ranking and image retrieval paths require the corresponding model capability and must be enabled by configuration; they do not execute on every request.
Hypothetical paper exercise sample: one batch of return quality-inspection material states "Return order R-2024-0311, item is a folding table, inspection conclusion is surface scratches, function normal, date 2024-03-11, status pending refurbishment assessment." The refurbishment record for the same batch states "R-2024-0311 outer carton replaced, completed 2024-03-12." A draft sentence awaiting judgment reads "This batch of folding tables has completed refurbishment and can be relisted directly." The materials show only that refurbishment was completed; they do not show relisting authorization or a relisting checklist record. The draft sentence lacks relisting grounds and is unsupported.
Configuration and implementation checks
| Configuration or check item | Use on this page | Relation to the sample |
|---|---|---|
| Linked knowledge bases | Select bases with the same vector model as the retrieval scope | Sample materials must sit inside the selected bases; bases with different vector models are excluded |
| Citation upper limit | Controls the number of tokens cited per search | Hypothetical starting point set to cover the full text of the three materials, compared against their actual length |
| Minimum relevance | Filters low-relevance results | Takes effect only in semantic retrieval or re-ranking; not used for permission filtering |
| Result re-ranking | Re-orders candidates a second time | Requires a re-ranking model enabled by configuration; otherwise it does not run |
| Cited content output | Receives citations as an array, which may be empty | Check on paper whether the downstream node continues when the input is [] |
| Question optimization | Completes references and expands the question before retrieval | May stay off when the sample question is already clear; enabling it adds latency |
Three common errors
- Treating a retrieval hit as authorization. In the sample, completed refurbishment does not equal approved relisting. If the review states "can be relisted," the input is the inspection and refurbishment records, the comparison object is relisting authorization material, and the observed result is a missing authorization field, which should be recorded as pending verification.
- Treating minimum relevance as an entity or permission filter. The input is a relevance value, the comparison object is a permission rule, and the observed result is that the two have different fields, so unauthorized records cannot be excluded on this basis.
- Linking knowledge bases with different vector models. The input is the vector model identifiers of two bases, the comparison object is the same-model requirement, and the observed result is exclusion when the identifiers differ. Cross-model retrieval is not executed to compare missed recalls.
How to verify the setup
- Check the draft sentence against the sample source text. The input is the source text of the inspection material and the refurbishment record, the comparison is the draft sentence "has completed refurbishment and can be relisted directly," and the observed result is that the materials do not state relisting authorization, so the sentence is judged unsupported.
- Check the downstream node with a paper input of []. The input is the cited content array [], the comparison is whether the downstream node continues executing, and the observed result is that the path runs through without error; the condition is met when the downstream has an explicit receiving design.
- Check the link between two bases with different vector model identifiers. The input is the model identifiers of the two bases, the comparison is whether they are identical, and the observed result is exclusion when they differ; record the actual observation without inferring runtime behavior.