What the Data for This Category Looks Like
Duty-free category investment research data mainly comes from the national customs authority's offshore duty-free record database, daily sales ledgers of offshore duty-free shops, duty-free policy announcements from national fiscal authorities and relevant regional authorities, and third-party consumer research datasets. Structured data includes fields such as product code, duty-paid price, duty-free allowance, and applicable offshore regions, with units mostly being yuan, person-times, and pieces. Unstructured data includes policy interpretation documents and industry analysis reports. Policy announcements are updated irregularly as policies are adjusted. Sales data is updated daily, and record data is synchronized quarterly.
Constraints for Model Access and Configuration
The structured data for the duty-free category includes amount and region-related fields, and there are cross-regional differences in units. When connecting models, field standardization mapping rules must be configured to avoid parsing errors where values and units do not match. Unstructured policy documents have a wide range of lengths, so text segmentation parameters must be adjusted to fit the model's context window limit. Multiple data sources have different update frequencies, so incremental sync trigger conditions must be configured to ensure that the called data source is the latest version. Region fields must match the regional divisions of each region's offshore duty-free policies to avoid deviations in regional rule adaptation during model calls.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Fits the average length of segmented duty-free policy documents and sales data, and matches the context windows of mainstream large models |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Covers the typical parsing time for unstructured policy documents and large sales ledgers |
Recall Count | Top 8–12 entries | Balances multi-dimensional data coverage required for investment research and model context capacity limits |
Similarity Threshold | 0.72–0.80 | Filters high-similarity, low-relevance recall results for policy and product descriptions in the duty-free category |
UPLOAD_FILE_MAX_SIZE | 500 MB | Fits the maximum common size of single duty-free policy compilations or sales ledgers |
model_api_base | Fill in the proxy address deployed in practice | Bypasses regional access restrictions to call compliant large model interfaces |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: A 400 error is returned when testing model connectivity. Cause:
model_api_keyor proxy address is not configured correctly, or request parameter format does not meet large model requirements. - Symptom: Unable to obtain the original input parameters for model calls. Cause: FastGPT's request logging function is not enabled, or the log storage path is not configured.
- Symptom: Calls to the Claude model fail after configuration. Cause: A compatible model type parameter is not selected, or the dedicated model interface path for Claude is not filled in.
How to Verify Correct Configuration
- Execute the system's built-in model connectivity test, and confirm that the returned result has no errors and contains normal model response content.
- Upload a single typical duty-free policy document, and check that the length of the parsed text segments matches the configured
maxContextparameter. - Initiate a targeted investment research query, and verify that the data source fields used in the returned results match the configured recall rules.
- View the system request logs, and confirm that the input parameters for model calls exactly match the configured parameters.
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.