What the documents look like
Cross-border product compliance and labeling work takes place before listing and import, with the core task being verification of product safety and label evidence. Materials come from platform policy centers, testing agency reports, destination-country regulatory databases, and supplier documents. Day-to-day handling covers test reports, English labels, MSDS documents, and prohibited-sale lists. Materials are updated irregularly, and every new listing requires re-verification.
Constraints at the citation tracing step
A search node can be linked to one or more knowledge bases that use the same embedding model, and the output citation array can be empty. Similarity filtering and a citation cap measured in tokens jointly constrain the returned content; the minimum relevance score takes effect only during semantic retrieval or when reranking is used. Hybrid retrieval fuses results through RRF, and the reranking model outputs scores from 0 to 1. These settings do not carry out permission control or entity isolation; promotional sentences still require sentence-by-sentence comparison against the source text of the materials.
Hypothetical drill sample: a supplier for a batch of portable power banks provides a revised English label, with the original text reading “Model: PB-2024A. Capacity: 10000mAh. Warning: Do not expose to temperatures above 60°C.” The test report summary in the same batch of materials states “Sample: PB-2024A. Test item: UN38.3. Result: Pass. Report date: 2024-03-15.” The current version of the platform prohibited-sale list states “Lithium battery products must provide a UN38.3 test report before listing.” The draft sentence is “This product has passed UN38.3 testing and can be used safely in high-temperature environments.” A judgment is needed on whether this draft sentence is supported by the above materials.
Configuration and implementation checks
Configuration is set around the verification needs of the sample on this page and does not copy the database’s internal implementation.
| Configuration item | Starting point for this hypothetical trial | Rationale and comparison method |
|---|---|---|
| Linked knowledge bases | Select the knowledge bases storing test reports, English labels, and the prohibited-sale list | Joint linking is allowed only after confirming that the embedding model identifiers of each base are consistent; exclude those with mismatched models |
| Search mode | Hybrid retrieval | Model PB-2024A and UN38.3 are exact identifiers, so full-text retrieval can match them; semantic retrieval supplements natural-language query phrasing |
| Minimum relevance | Start at 0.5 | This value takes effect only during semantic retrieval or result reranking; adjust after comparing with the candidate score distribution returned by retrieval |
| Citation cap | Start at 2000 tokens | Citation volume is controlled in token units; adjust after comparing with the total length of the sample material passages |
| Result reranking | Enabled | Reranking produces scores from 0 to 1, which work with the minimum relevance threshold to filter candidates |
| Response format | Keep default | The task on this page is copy verification, and subsequent processes do not require fixed structured output |
Three common errors
- Treating retrieval scores as authorization credentials. The minimum relevance score is only a filtering threshold, and retrieval citations do not prove that the copy has obtained compliance authorization. The retrieval output should be compared sentence by sentence with the source text of the materials to confirm that every assertion has a corresponding statement.
- Forcibly linking knowledge bases with different embedding models. The documentation states that only knowledge bases with the same embedding model can be linked, and cross-model joint linking is not allowed. The embedding model identifiers of each base should first be checked, nonconforming ones should be excluded, and actual observations should be recorded without performing cross-model retrieval comparisons.
- Treating an empty citation output as process termination. The citation array length output by the search node can be 0, and an empty array does not equal a workflow error termination. Whether the downstream answer step accepts an empty array should be checked, using an explicit paper-input empty array to verify downstream behavior.
How to verify the setup
- Input the test report summary and the original English label text from the hypothetical sample, along with the draft sentence “This product has passed UN38.3 testing and can be used safely in high-temperature environments.” Compare “passed UN38.3 testing” in the draft sentence with “Test item: UN38.3. Result: Pass.” in the test report summary. The subject in both is PB-2024A, the status is consistent, and this part is supported by the materials. Compare “can be used safely in high-temperature environments” with “Do not expose to temperatures above 60°C.” in the original English label text. The original text gives an upper temperature warning and does not state a conclusion about safe use in high-temperature environments, so this part is not supported. Observe whether the retrieval output contains citation content from both the test report and the English label.
- Input the supplier’s revised English label original text “Model: PB-2024A. Capacity: 10000mAh. Warning: Do not expose to temperatures above 60°C.” and a handoff request “Please confirm whether this label version is the currently effective version and can be used for copy citation.” Compare the model PB-2024A in the label original text with the model in the test report summary, and compare whether the revised label indicates a version number or effective date. The label original text does not state version status or scope of effectiveness, so the answer to this request remains to be verified, and the evidence gap must be retained. Observe whether the retrieval output returns citation content from the label material and whether it returns records related to version status.
- Input the statement from the current version of the platform prohibited-sale list, “Lithium battery products must provide a UN38.3 test report before listing,” along with the draft sentence “This product has passed UN38.3 testing and can be used safely in high-temperature environments.” Compare the material type required by the prohibited-sale list with the Test item in the test report summary, and compare whether “safe use in high-temperature environments” in the draft sentence has a corresponding statement in the prohibited-sale list or the test report. The prohibited-sale list only requires a UN38.3 test report and does not address high-temperature use conditions, so this assertion is not supported. Observe whether citation content from the prohibited-sale list and citation content from the test report appear simultaneously in the retrieval output, and which parts of the draft sentence can find corresponding wording in the cited originals.