What the documents look like
Franchise filing management works with legal disclosure and the commerce department system. It does not handle individual site engineering. For copy drafting, the tracing targets are the franchise contract, the operations manual, the filing materials and the information disclosure documents. These materials are updated at irregular intervals and annually, so a drafting pass has to confirm that the cited version sits inside its valid range.
The underlying records come from the commercial franchise information management system, enterprise licenses, store lists and contract ledgers. A promotional sentence in drafted copy needs a supporting record in those materials that shares the same subject, the same period and the same field. A search node returns cited content as an array, and the length may be zero. An empty array means the output path still runs; it does not mean the search errored or that a business request was refused.
Constraints at the citation tracing step
A knowledge base search can associate one or more knowledge bases that use the same vector model. Knowledge bases built on different vector models cannot be associated together. At operation time, check the vector model identifier first, exclude the ones that do not match, and record what was actually observed. Retrieval itself does not perform authorization decisions, and cited content does not establish franchise eligibility or filing status. The minimum relevance value is a filter threshold; it does not isolate entities or filter permissions.
Semantic retrieval, full-text retrieval, hybrid retrieval and result reranking are optional paths. The overall flow diagram listing these paths does not mean every request executes all of them. Image retrieval requires the corresponding image input and model capability. Reranking requires a rerank model and must be enabled in settings. The citation cap controls how many tokens of content a single search may cite, expressed in tokens. That parameter is unrelated to a thinking budget; a thinking budget belongs to model thinking configuration.
Hypothetical paper exercise. The source text reads: "Party A is a certain catering management enterprise. On 1 March 2024 it signed a sample Franchise Contract, with a three-year term, and the authorized territory is a certain city, a certain district." The information disclosure document states: "As of March 2024, the brand has two directly operated stores, each operating for more than one year." The drafted sentence is: "This brand has opened franchising nationwide, and signing brings a three-year exclusive territory authorization." The item to judge is whether "nationwide" and "signing brings" in the drafted sentence have material support.
Configuration and implementation checks
| Configuration or check item | Use on this page | Value and basis |
|---|---|---|
| Associated knowledge bases | Limit the retrieval scope | Select bases consistent with the filing materials and contract ledger; confirm the vector model identifier matches before associating together |
| Search mode | Determine the recall path | Use full-text or hybrid retrieval for numbers and proper nouns; use semantic or hybrid retrieval for natural-language questions |
| Citation cap | Control the amount of cited content | Measured in tokens; for this hypothetical exercise set a higher starting value to include complete clauses, then compare citation completeness against a lower value |
| Minimum relevance | Filter low-relevance results | Takes effect only in semantic retrieval or with result reranking; for this hypothetical exercise start at a middle value and compare against a raised value |
| Result reranking | Secondary ordering | Requires a rerank model and must be enabled in settings; compare rerank scores against vector scores for ordering differences |
| Cited content output | Feed downstream | Output is an array whose length may be zero; use a paper input of [] to check the downstream design |
Three common errors
- Treating a retrieval hit as authorization evidence. Input the drafted sentence and the source text above, then compare whether the materials state "nationwide" and "signing brings". The materials state only a certain city, a certain district and a three-year term. The drafted sentence is unsupported, and the evidence gap must be recorded rather than written as a denial or a conflict.
- Treating a pending-review status as granted authorization. Input a filing material marked pending review together with the drafted sentence, then compare the review status field. Pending review does not show a lack of operating permission and does not constitute approval; the definitive wording in the drafted sentence lacks a basis.
- Associating knowledge bases that use different vector models. Input the vector model identifiers of two knowledge bases and compare whether the identifiers match. If they differ, exclude them. Do not run a cross-model retrieval to compare missed recalls; record only the identifier check result.
How to verify the setup
- Input the source text and the drafted sentence from the hypothetical exercise, then compare whether "nationwide" and "signing brings" appear in the materials as records sharing the same subject, the same period and the same field. The materials state only a certain city, a certain district and a three-year term, so the judgment is unsupported, and the evidence gap is retained.
- Input a paper citation array of [], then compare whether the downstream answer step runs through on the empty array. If the downstream design continues execution and indicates that no citation was found, the condition is met. Do not claim that a fabricated rule search necessarily returns [].
- Input the vector model identifiers of two knowledge bases and compare whether the identifiers match. Only matching identifiers may be associated together. If they differ, exclude them and record the result. Do not invent an operating outcome for a cross-model association.