What the documents look like
Regional dealer stock replenishment runs as a daily rolling order stream, not a seasonal concentrated ordering event. Replenishment requests, inventory turnover sheets, outbound notes, and payment collection plans keep accumulating and update by week or by month. Handover between brand channel managers, sales back-office staff, and dealer warehouses depends on every material being traceable to its original source. Whether the quantity on a replenishment request matches the inventory turnover sheet, whether an outbound note corresponds to a specific request, and whether a payment collection plan has moved beyond the planning stage all shape how authority and responsibility are divided at handover. Data sources include the dealer ERP, the brand ordering system, warehouse inventory, and sales receipts. Different sources mean the same field may exist in several versions, and citation tracing exists to make version and origin checkable. Retrieval itself does not perform authorization decisions.
Constraints at the citation tracing step
The knowledge base search node first checks the selected knowledge bases and material versions. Only knowledge bases sharing the same vector model can be associated together. Search output is an array of citations whose length may be zero, and an empty array does not mean the workflow terminated with an error. Citation content must be passed to the answering step, where each answer is checked against the cited original text. The citation limit is expressed in tokens and controls how much content one search may cite. The minimum relevance value is a 0-1 filter threshold that takes effect only under semantic retrieval or when result re-ranking is enabled. Semantic recall and relevance scores do not constitute permission filtering or entity isolation, and retrieval results cannot serve as authorization evidence. Hybrid retrieval merges multiple result paths through RRF, re-ranking requires a model and must be enabled by configuration, and image retrieval requires image input and model capability. These optional paths do not mean every request executes all of them. Knowledge bases with different vector models cannot be associated together; the check first verifies identifiers and excludes non-matching ones, records what is actually observed, and does not infer runtime outcomes.
Configuration and implementation checks
Hypothetical drill sample: material text one reads "March 2025 East China replenishment request, applicant entity Dealer A, requested quantity 120 units, request status pending review by the brand channel manager." Material text two reads "March 2025 East China inventory turnover sheet, entity Dealer A, closing inventory 45 units, data source dealer ERP, version date 10 March 2025." The draft sentence to be judged reads "Dealer A's March replenishment request has been approved and outbound can be arranged." This draft sentence treats a pending review as approved, which converts an incomplete status into a completed one.
| Configuration item | Hypothetical trial starting point | Check method and reason |
|---|---|---|
| Associated knowledge bases | Select the stock replenishment knowledge base | Verify selected bases and material versions; only the same vector model can be associated together |
| Search mode | Hybrid retrieval | Semantic and full-text paths run together and merge through RRF, suited to mixed identifier and natural-language queries |
| Citation limit | Hypothetical starting value 800 tokens | A trial value used to observe citation trimming, compared against returned result length |
| Minimum relevance | Hypothetical starting value 0.3 | A trial value effective only under semantic retrieval or re-ranking, compared against returned entries |
| Question optimization | Enabled based on actual effect | For multi-turn follow-ups, check the completion result; for short questions, compare elapsed time |
| Citation handoff | Output array passed to the answering step | Check answers against cited original text; treat an empty array as zero length |
Three common errors
- Writing a pending review status as approved. The draft sentence states "has been approved and outbound can be arranged," while the material text records the status as pending review by the brand channel manager. The same entity, same period, and same field carry mutually exclusive values, so the draft is judged contradictory to the original.
- Treating a retrieval result as an authorization credential. Finding a replenishment request or outbound note only shows the material exists. It does not show that approval, outbound, or payment collection has been executed. Authorization status requires a separate system implementation or manual verification.
- Forcing knowledge bases with different vector models into a shared association. The check first verifies identifiers and excludes non-matching ones. It does not run a cross-model retrieval to compare missed recalls, and it records only what is actually observed.
How to verify the setup
- Enter the material texts above together with the draft sentence, and compare the status field in the draft against the original value "pending review by the brand channel manager." If the draft contains "has been approved," it is judged contradictory to the original, and the expected result is failure.
- Enter the explicit paper input
[]and check whether the downstream answering step handles it as a zero-length citation. If an error termination appears, that conflicts with the documented behavior that an empty array still passes through, and the expected result is normal handoff. - Enter two knowledge base identifiers that use different vector models, and compare whether the identifiers match. If they do not match, exclude the shared association and record the actual observation without inferring missed recall or redundancy. The expected result is exclusion with a record kept.