What the documents look like
Chain-store closure settlement handles exit and asset recovery, the opposite direction from head-office site selection and store opening. The main data sources are POS inventory, the fixed-asset system, lease contracts and financial ledgers. The daily documents are closure approvals, inventory clearance forms, lease termination agreements and asset count sheets. Updates are irregular, per store.
Product material and selection Q&A has to locate specific entries inside these materials: the model of one piece of equipment, the clearance status of one batch of stock, the signature stage of one lease termination agreement. Material length varies widely. An inventory clearance form may run only a few lines, while a lease termination agreement may contain many pages of clauses. The vector model and index step has to handle this tension between length and semantic richness. Multiple vector mapping lets one group of source data be associated with several indexes, and recall of any one index recalls that group of source data.
Constraints at the vector indexes step
Knowledge bases linked for retrieval must use the same vector model. Check the actual model and input type first; knowledge bases on different vector models cannot be linked together. One source data block can be associated with several indexes, and the index content is checked separately from the original text. Index content is built from complete and focused information, and retrieval coverage against index length is weighed against the sample. Image retrieval also depends on whether image descriptions or image vectors were generated at ingestion time; the query side alone is not the deciding factor. After a model or index change, compare cited source text using the same set of questions, and do not promise an outcome from a vector score alone.
Retrieval is a recall process. It does not carry permission or entity isolation. Semantic recall and relevance do not decide whether a record belongs to the current store or whether authorization was granted. An empty result is returned as an array whose length can be zero, and the downstream path still runs.
Configuration and implementation checks
The table below lists documented settings or implementation checks tied to the hypothetical drill sample on this page. The sample is set as closure settlement materials for one store of a chain brand. The subject is the store operations handover person. The object is one refrigeration unit on the asset count sheet. The status is pending clearance. The date scope is the current closure settlement period. The hypothetical starting value for the citation limit is a number of tokens, chosen because the average entry in this store's documents is short and must be compared against the citation needs of longer agreement-type documents before adjustment. The minimum relevance is a starting value between 0 and 1, revised after comparison with actual semantic retrieval or result rerank scores.
| Configuration item | Setting or check for this page | How to check |
|---|---|---|
| Vector model | Linked knowledge bases must use the same vector model; check the model identifier and input type first | Compare model identifiers across bases and exclude those that do not match |
| Index and source data | One source data block can be associated with several indexes; index and original text are checked separately | Inspect the relationship between the indexes field and the source data |
| Index content | Build indexes from complete and focused information, weighing coverage against length | Compare cited source text using the same sample questions |
| Image index | Image retrieval depends on whether image descriptions or image vectors were generated at ingestion | Confirm the index type at ingestion time; the query side alone is not enough |
| Citation limit | Each search cites at most n tokens of content | Compare against the document length distribution before adjusting |
| Minimum relevance | A value between 0 and 1, effective only in semantic retrieval or with result rerank | Compare against semantic or rerank scores before adjusting |
Three common errors
- Treating a retrieval result as an authorization conclusion. In the hypothetical sample, the asset count sheet shows one unit as pending clearance. A retrieval hit on that entry only shows recall succeeded; it does not show the unit has been approved for clearance. The closure approval and authorization boundary must be checked separately. The retrieval step does not execute approval.
- Linking knowledge bases that use different vector models. In the hypothetical sample, store A's knowledge base and store B's knowledge base use different vector models, so they cannot be linked together and then used to infer missed recall or redundancy. The correct action is to check the model identifiers first, exclude those that do not match, and record the actual observation.
- Treating pending review as missing operating authority. In the hypothetical sample, the lease termination agreement is in pending review status. That status does not show the signing parties lack operating authority, and it does not show the contract has taken effect. Signing, reaching agreement and contract effectiveness are three distinct facts. Where a fact is not stated, or only stage-related evidence exists, the matter is unsupported or pending verification.
How to verify the setup
The following verification uses the hypothetical drill sample on this page. Each item states the input, the comparison and the condition that is met, and makes no claim that testing was performed.
- Input, hypothetical sample source text: "Asset count sheet item 12, refrigeration unit number B-07, status pending clearance, count date within the current closure settlement period." Draft sentence: "The unit has completed clearance." Compare the draft sentence against the status field in the source text. The source text says pending clearance; the draft sentence says completed clearance. The two take different values on the same field. The condition is met when the draft sentence is identified as inconsistent with the source status, marked pending verification, and not judged as completed.
- Input, hypothetical sample source text: "Lease termination agreement, Party A and Party B negotiating the lease of a certain store, the agreement is in pending review status." Handover request: "Please confirm the lease has been terminated and process the deposit refund." Compare the termination conclusion in the request against the pending review status in the source text. The source text does not state that signing was completed or that the agreement took effect. The condition is met when the response states that pending review does not show termination is complete, that the deposit refund requires separate checks of authorization and the settlement process, and that the evidence gap is preserved.
- Input, hypothetical sample source text: "Inventory clearance form lists a certain batch of goods, quantity and specification in the attached table, clearance status submitted." Draft sentence: "The batch has completed outbound shipment and settlement." Compare the draft sentence against the clearance status in the source text. The source text says submitted; it does not state that outbound shipment or settlement was completed. The condition is met when the evidence gap between submitted status and completed outbound shipment and settlement is identified, marked pending verification, and no authorization or effectiveness clause is invented to fill the gap.