What the documents look like
This category operates around disposable plastic product reporting and environmental supervision, not membership marketing. The material set includes the Ministry of Commerce reporting system, POS plastic bag sales records, procurement systems and store ledgers. The daily documents are procurement ledgers, sales vouchers, semi-annual reports and self-discipline commitments.
When copy is drafted, promotional sentences often refer to usage volume, recycling status or compliance status. Each of those statements must be traceable to the materials above. Semi-annual reports coexist with daily-updated data, so the same indicator may come from materials covering different periods. Verification must distinguish the period basis of each source. The confidence level for this category description is confirmed.
For citation tracing, the practical consequence is that a drafted sentence cannot be checked against a general impression of the category. It has to be checked against a specific document, with a specific subject, object, status and effective range. A sentence about supplier filing status, for example, needs a ledger entry that names the supplier, the filing receipt, the batch status and the covered period.
Constraints at the citation tracing step
The knowledge base search node can select one or more knowledge bases that use the same vector model, for vector search. The node outputs cited content as an array, and the length can be zero. When no content is found, the output path still runs through. Cited content must then be handed to the answer stage and checked item by item against the source text.
The minimum relevance score is a filter threshold. It takes effect only in semantic retrieval or when result reranking is used. It does not perform permission or entity isolation. The same-vector-model requirement applies only to knowledge base association; it does not extend to other external systems.
Hypothetical paper exercise sample: a supermarket headquarters compliance role drafts a product copy line. The sentence to be judged is: "All plastic bag procurement in this store comes from suppliers that have completed filing." The store ledger text supplied for checking reads: "From 1 March 2025 to 30 June 2025, Supplier A delivered 12 batches, of which 10 batches were accompanied by filing receipts and 2 batches had receipts pending." This source text contains the subject (Supplier A), the object (filing receipts), the status (10 batches attached, 2 pending) and the effective range (first half of 2025). The sentence under judgment uses "all," which conflicts on the same field with "2 batches pending." The sentence is not supported.
Configuration and implementation checks
| Configuration or check item | Value or action on this page | Basis and explanation |
|---|---|---|
| Associated knowledge bases | Select supermarket compliance libraries that share the same vector model | Only the same vector model can be associated together; verify the identifier first |
| Search mode | Hybrid retrieval | Batch and number queries depend on full-text recall |
| Citation limit | Hypothetical exercise starting point of 3000 tokens | This is an exercise starting point, to be compared with ledger source length and adjusted |
| Minimum relevance score | Hypothetical exercise starting point of 0.4 | Compare with rerank scores to observe whether ledger fragments are filtered out |
| Cited content output | Accept the array; length zero is allowed | An empty array does not mean the workflow has terminated |
| Source version check | Use the current ledger version and a historical version once each | Whether a citation is adopted still requires review against the effective version |
Three common errors
- Reading "2 batches have receipts pending" as "all are unfiled." The input is the ledger source text; the comparison field is filing receipt status; the observable result is that the "all" in the sentence under judgment and "pending" are mutually exclusive on the same field. The sentence is not supported, and this is not a denial or a conflict.
- Using the minimum relevance score setting to exclude unrelated business records. The input is a similarity value; the comparison object is the retrieval score; the observable result is that this setting only affects the filter threshold and does not constitute permission or entity isolation.
- Treating the citation array returned by retrieval as an already-verified source. The input is the citation array; the comparison object is the ledger source text; the observable result is that when the answer sentence and the source text disagree, the gap must be recorded. Retrieval itself does not complete business verification.
How to verify the setup
- Input the ledger source text and the sentence under judgment from the hypothetical sample. Compare whether "all" and "2 batches pending" share the same subject, the same period and the same field. If the values are mutually exclusive, judge the sentence as not supported and record the evidence gap.
- Input an explicit paper empty array
[]. Compare whether the downstream answer stage still runs through. If it runs through, this shows that empty-result acceptance matches the documented description. Do not claim that a fictional rule search necessarily returns[]. - Input two knowledge base identifiers that use different vector models. Compare whether the identifiers match. If they do not match, exclude the association and record only the observation. Do not run a cross-model retrieval to compare missed recalls.
This page addresses only supermarket plastic bag and disposable product reporting, product and marketing copy drafting, and citation tracing. Whether a specific promotional sentence in product copy is supported by materials cannot be turned into an enterprise identity certification tutorial. The minimum relevance score and semantic recall do not carry permission or entity isolation duties. The same-vector-model requirement for retrieval libraries cannot be extended to require the same model for business registration websites or other external systems. Any system error or automatic business action not stated in the source text must not be asserted. RRF is a fusion process for mixed results and is not written as a toggle switch. The thinking budget is a reasoning budget and must not be repurposed as a citation token limit. Retrieval checks describe observations and failure branches; they do not guarantee a first hit, full recall or that an unrelated query returns empty. Empty-result acceptance can be checked with an explicit paper input [] against downstream design; it cannot be claimed that a fictional rule search necessarily returns []. Libraries using different vector models cannot be associated together; verify identifiers first and exclude non-matching ones, without running cross-model retrieval to compare missed recalls. The optional paths in the overall document flow diagram do not mean every request executes all of them: image retrieval requires a corresponding image input and model capability, and reranking requires a model and must be enabled by settings. Judgment must share the same subject, the same period and the same field; only clearly mutually exclusive values on the same field count as a contradiction. Evidence that is not stated, or that covers only a related stage, is called not supported or pending verification, not a denial or a conflict. Pending review does not prove the absence of operating permission. Signing, reaching cooperation and contract effectiveness are three distinct facts. A quotation validity period does not indicate a supply period. Do not fabricate authorization or effectiveness clauses to obtain a definite answer; keep evidence gaps explicit. Materials needed for verification must be within an accessible target retrieval scope or an explicit manual input; when missing, record the gap.