What the documents look like
Warehouse picking, checking, and packing handles outbound orders, and it does not handle supplier arrivals. The data sources named for this category are WMS, the order system, the electronic waybill platform, and weighing equipment. Daily documents include wave picking lists, checking records, waybills, and packaging consumable sheets. Citation tracing for product questions has to work inside these documents.
The consequences of error in this category are wrong shipment, missing shipment, parcel damage, and after-sales compensation, so an answer about a product or a packaging choice must be traceable to a specific document. The three most time-consuming steps are generating waves, scan checking, and choosing packaging materials. A selection question about packaging therefore needs its citation to correspond to a consumable sheet or a checking record. The confidence level of the supplied brief is "roughly so," and fields that the brief does not provide stay unknown.
Constraints at the citation tracing step
Knowledge base search can select one or more knowledge bases that use the same vector model. The cited content is output as an array, and its length can be zero, which means the output path still runs even when nothing is retrieved. The minimum relevance setting is a filter threshold, and it takes effect only in semantic retrieval or when result reranking is used. It does not perform permission isolation or entity isolation. Retrieval by itself is not authorization, and a form collecting a value is not the same as business verification or a database write.
Hybrid retrieval merges multiple result paths through RRF, and RRF is a fusion process. Image retrieval needs an image input and the relevant model capability. Reranking needs a model and runs according to its setting. These optional paths do not mean that every request executes all of them.
Assumed paper exercise sample: the source material reads "Wave picking list W-0715-03, order number A-2201, item is a 500 ml transparent PET bottle, quantity 12, the picker has scanned, checking status is pending checking; packaging consumable sheet H-0715-01 records that this order uses a 5-layer corrugated carton, box type C-05, consumable issued quantity 1; the waybill platform records that the waybill for this order has been generated and not printed." The draft sentence to be judged is "This order has completed checking and can be handed over to the packing step." The subject of this draft is order A-2201, the object is the checking status, the stage is the wave of 15 July 2026, the effective scope is W-0715-03 and H-0715-01, and the authorization boundary is that the checker has not signed the checking record and the packing supervisor has not approved the handover.
Configuration and implementation checks
The table below stays around this sample and lists only settings that the official documents describe, or implementation checks. The assumed trial starting values are for this paper comparison only and are not defaults.
| Configuration item | Assumed trial starting value | Comparison and check method |
|---|---|---|
| Associated knowledge bases | Select two knowledge bases with the same vector model | Check the vector model identifier, exclude those with a different model, and do not run cross-model retrieval |
| Search mode | Hybrid retrieval | Compare against semantic retrieval and full-text retrieval on the same question |
| Citation limit | Assumed set to 2000 tokens | Compare with the actual length of the sample material and observe whether the citation covers the checking status |
| Minimum relevance | Assumed set to 0.3 | Compare with the 0-1 rerank score, used only to filter low-relevance results |
| Question optimization | Assumed off in this exercise | Compare with the elapsed time and cited content when it is on |
| Citation output | Array, length may be zero | Use the paper input [] to check whether this output path runs |
Three common errors
- Treating a retrieval result as authorization. The input is "checking status is pending checking" in the sample above, the comparison object is the draft sentence "has completed checking," and adopting that draft directly treats retrieved material as completed checking. The observable result is that the cited content contains a pending checking status and the draft sentence does not match the source text.
- Treating minimum relevance as a permission or entity filter. The input is the same question, the comparison object is the minimum relevance setting, and assuming that raising this value excludes unrelated business or unauthorized records confuses a filter threshold with an authorization boundary. The observable result is that the relevance score changes while the authorization state remains pending checking.
- Treating an optional path as something that runs every time. The input is a text-only question, the comparison object is the image retrieval and rerank settings, and assuming that every retrieval runs image retrieval or reranking ignores the image input and model capability conditions. The observable result is that image retrieval does not participate when no image is uploaded, and there is no rerank score when reranking is not enabled.
How to verify the setup
- Input the assumed sample source material and the draft sentence, compare the draft sentence "has completed checking" with the source text "checking status is pending checking," and observe whether the cited content shows pending checking and whether the draft sentence is judged unsupported. The expectation is unsupported; this page does not claim that a test was run.
- Input the paper citation array [], compare whether the downstream answer step continues to execute, and observe whether the workflow terminates with an error because of the empty array. The expectation is that the output path runs; whether an error occurs has to be based on actual observation.
- Input the same question to two knowledge bases with the same vector model, compare whether the cited content from the two bases can be merged, and observe whether the vector model identifiers match. If the identifiers differ, exclude that knowledge base and record that cross-model retrieval was not run. The expectation is to check identifiers only, without inferring missed recall or redundant results.