What the data for this category looks like
Data sources for duty-free intelligent due diligence reports include duty-free business entity filing documents, customs off-island supervision ledgers, official policy announcements, supplier supply vouchers, and passenger flow consumption statistics. Data update rhythm varies by type: policy documents update dynamically per regulatory requirements, operational data synchronizes monthly or quarterly, and filing entity information changes in real time. Document structure includes fields such as filing entity qualifications, category business license scope, off-island duty-free quota rules, monthly sales and inventory data, and compliance self-inspection checklists. Field units include yuan, pieces, passenger trips, and other standard units. Some policy fields require specific unit annotations combined with regulatory versions.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The multi-category update rhythm of due diligence data requires multi-turn dialogue to first confirm the policy version matching the query scenario. This prevents citation of expired rules. Differences across multiple field units require prompt engineering to clearly specify unit conversion rules or force field unit annotations. This avoids parameter extraction deviations. The large context volume from long document structures requires multi-turn dialogue to limit context window length. This prevents token overflow that interrupts dialogue. Dynamically changing filing and operational data requires continuous validation of current data timeliness during multi-turn interactions. This ensures returned content aligns with latest regulatory requirements.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Duty-free due diligence reports include multiple long document types. Sufficient context is needed for multi-turn parameter calibration and rule reference |
recallTopK | Top 6–8 entries | Duty-free data covers policy, operational, and filing dimensions. Sufficient relevant content must be included to avoid missing key information |
similarityThreshold | 0.72–0.78 | Filters low-relevance old policy documents and non-associated operational data. Ensures recalled content strongly matches the query scenario |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large filing ledgers and inventory reports take longer to parse. Sufficient parsing time must be reserved |
variableExtractEnable | Enabled | Dynamic variables such as off-island dates, purchase categories, and duty-free quotas must be extracted to support parameter interaction in multi-turn dialogue |
promptTemplate | Fixed template + duty-free specific rules | Requires the model to prioritize citing currently effective policy data, annotate field units, and identify image reference content |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Empty values are returned when extracting variables such as off-island dates and purchase categories during multi-turn dialogue. Cause: Duty-free due diligence-specific variable extraction rules are not clearly specified in the prompt, and the business scenario corresponding to the variables is not limited.
- Phenomenon: After uploading a due diligence document containing policy accompanying images, the corresponding images are not displayed or their content is not mentioned in the dialogue. Cause: Associated rules for image recall are not configured, and the prompt does not require the model to identify and annotate image reference paths or content.
- Phenomenon: The model cites expired duty-free policy clauses during multi-turn dialogue, which do not match current regulatory requirements. Cause: A reasonable similarity threshold is not set, expired old policy documents are recalled, and the prompt does not mandate priority citation of the latest version data.
How to confirm proper configuration
- Initiate a query that includes off-island dates and purchase categories. Verify that the model accurately extracts the corresponding business variables.
- Upload a due diligence document containing policy accompanying images. Initiate a relevant query, and verify that the model correctly references the image content.
- Adjust the similarity threshold. Test whether recall results only include currently effective duty-free policies and operational data.
- Initiate multi-turn consecutive queries to modify parameters. Verify that the model can continuously update the corresponding calculation logic and rule references.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.