What the documents look like
This category covers single-use plastic reporting and environmental supervision rather than membership marketing. The working materials are plastic bag purchase ledgers, sales vouchers, half-year reports and self-discipline commitments. They arrive from a commerce reporting system, POS plastic bag sales, a procurement system and store records. Reporting errors can lead to a deadline for correction, a fine of ten thousand to one hundred thousand yuan, or a regulatory interview.
Cross-border material and multilingual retrieval asks a narrow question: can the same ledger entries, vouchers, reports and commitments be recalled reliably from one knowledge base across different language versions. The vector model and index step decides whether a query in one language can reach the corresponding material in another.
A hypothetical paper sample for this page: the source text reads, "In the first half of 2025, store A's plastic bag purchase ledger records 12 entries; sales vouchers correspond to 11 entries; the difference of 1 entry awaits store verification." A draft sentence reads, "The store's plastic bag purchases and sales vouchers for the half year have all been reconciled and match." A pending request reads, "Please sync this difference note into the half-year report draft." The source text carries a subject (store A), an object (purchase ledger and sales vouchers), a period (first half of 2025) and a status (1 entry awaiting verification). The draft sentence contradicts the source text on the same field.
Constraints at the vector indexes step
Knowledge bases linked for retrieval must use the same vector model. One original data block can be associated with multiple indexes, and index content is checked separately from the original text. Index content should be complete and focused; retrieval coverage and index length are weighed against samples. Image retrieval also depends on whether image descriptions or image vectors were generated at ingestion, not only on what is uploaded at query time.
Semantic retrieval provides cross-language understanding. The minimum relevance value applies only in semantic retrieval or when result reranking is used. Retrieval itself does not perform authorization or entity isolation. After a model or index change, compare cited original text using the same set of questions. Do not promise an outcome from a vector score alone.
A dataset search node can select one or more knowledge bases that share the same vector model. Its citation output is an array whose length can be zero, so the downstream path still runs when nothing is found. The output is a value, not a verification of business facts.
Configuration and implementation checks
| Configuration item | Hypothetical trial starting point | Reason and comparison method |
|---|---|---|
| Linked knowledge bases | Link only Chinese and English material bases that share one vector model | Cross-model bases cannot be linked together; check the identifier first and exclude non-matching bases |
| Index content | Build one index per semantically complete segment of each ledger and voucher | Compare segment by segment against the source text and confirm no other period's records are mixed in |
| Image index | At ingestion, confirm whether an image description or image vector was generated | Check separately from query-side image upload; record a gap when either side is missing |
| Search mode | Use full-text retrieval for numbered queries and semantic retrieval for natural-language queries | Run the same question set against cited original text and observe hit differences |
| Minimum relevance | Hypothetical trial value 0.3 | Compare with 0.5 and observe whether unrelated fragments are filtered |
| Citation limit | Hypothetical trial value 2000 tokens | Compare with 1000 tokens and observe whether citations cover a complete segment |
The minimum relevance value is a filter threshold, not a final ordering rule. When question optimization, hybrid retrieval, image retrieval or reranking is active, results may be merged from several recall paths and need not follow a single vector similarity order.
Three common errors
- Treating cross-language semantic recall as authorization or entity isolation. Input: a Chinese question against an English ledger base. Compare the recalled results with the authorized scope and observe whether records from unauthorized stores appear. Retrieval does not perform authorization; that requires a separate system implementation.
- Treating a vector score as a business reconciliation conclusion. Input: the draft sentence against the source text. Compare the values on the same field and observe whether "1 entry awaiting verification" is written as "all reconciled and match." A score does not replace comparison against the source text.
- Treating a pending request as an executed sync. Input: "Please sync this difference note into the half-year report draft." Compare the request status with the report draft content and observe whether the draft remains empty. A request does not constitute execution.
How to verify the setup
- Input the hypothetical source text and the draft sentence. Compare the same subject, the same period and the same field value. Observe whether the draft sentence is marked unsupported. The condition is met when the difference note keeps the "awaiting verification" status.
- Input the Chinese question "store A first-half purchase and sales voucher difference." Compare the cited results with the source text and observe whether the citation contains "12 entries," "11 entries" and "1 entry awaiting verification." The condition is met when the cited original text is complete and does not contain "all match."
- Input an empty-result continuation case using the paper input
[]. Compare the output array with the downstream design and observe whether the output is an array of length zero and the path still runs. The condition is met when the downstream handles the empty citation and no claim is made that a rule-based search must always return an empty array.
A pending review does not show that an operation permission is missing. Signing, reaching cooperation and contract effectiveness are three different facts. Where the source text is silent, the status remains awaiting verification, and the evidence gap is recorded rather than filled with an assumed authorization clause.