What the Data for This Category Looks Like
Logistics industry research report data primarily comes from professional transportation sector research institutions, financial industry logistics sector research report providers, public operation reports of logistics enterprises, and supply chain monitoring platforms. There are two update frequency modes: fixed cycle and real time. Macro industry research reports are updated weekly, monthly, or quarterly. Real-time monitoring data for segmented scenarios such as port operations and trunk line transportation is updated daily. Typical document structures include report title, issuing institution, release date, covered segmented sectors, core indicator data, analysis conclusions, and appendix tables. Core fields include trunk line freight rate (unit: yuan per ton-kilometer), warehouse rental rate (unit: percentage), express delivery pickup volume (unit: ten thousand pieces), report coverage area, and some reports include segmented data broken down by region.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
Multi-source data sources for logistics research reports require HTTP interfaces to support multiple authentication configurations, to adapt to access standards of different data sources. Staged update rhythms require distinguishing trigger parameters for scheduled pulling and real-time pushing, to meet the needs of weekly macro research report updates and daily segmented data updates. Documents contain long text and appendix tables, so interfaces must support large-volume data pulling and multi-field paginated returns, while configuring sufficient parsing timeout durations. Core fields have dedicated units, so interfaces must retain original unit fields when returning data, to avoid information loss from automatic formatting. Most external systems in the logistics industry are supply chain management and freight scheduling platforms, so interfaces must be compatible with their general data formats, and support data filtering and synchronization based on specified fields.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Logistics research reports include long text and appendix tables, with relatively long standard parsing times. 600 seconds covers the parsing needs of most large-volume research reports |
RECALL_TOP_K | Top 8-12 entries | Logistics research reports have many segmented indicators. Too many recalled entries increase context load, while too few fail to cover core analysis dimensions |
SIMILARITY_THRESHOLD | 0.75-0.85 | Indicator names in logistics segmented sectors have similarities, such as trunk line freight rate and regional freight rate. A reasonable threshold must be set to filter low-relevance results |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some large industry research reports include multiple appendix tables, with file sizes larger than standard documents |
SYNC_CRON_EXPRESSION | 0 0 2 * * * | Macro logistics research reports are mostly updated overnight. Synchronizing daily at 2 AM ensures the timeliness of knowledge base data |
PRESERVE_ORIGINAL_FIELD_UNIT | Enabled | Core indicators of logistics research reports have dedicated units. Retaining original units avoids information bias during analysis |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Calling the associated knowledge base interface returns
400 Bad Requestwith the promptInvalid knowledge base ID. This occurs because binding parameters are not configured correctly: the application ID and knowledge base ID are entered in the wrong positions, or the unique identifier of the target knowledge base was not obtained. - Research report data pulled via the interface lacks unit fields. This occurs because the
PRESERVE_ORIGINAL_FIELD_UNITconfiguration is not enabled, and the system automatically formatted the unit information of the original data. - Parsing large logistics research reports triggers a
504 Gateway Timeouterror. This occurs becausePARSE_FILE_TIMEOUT_SECONDSwas not adjusted to a duration longer than the default value. The default duration is insufficient to complete parsing and uploading of large-volume documents.
How to Verify Configurations Are Correctly Set
- Call the knowledge base synchronization interface, check if the returned research report data includes original unit fields, to confirm the configuration is effective.
- Submit a large logistics research report file, wait for parsing to complete, and check the parsing progress to confirm the configured duration covers the parsing process.
- Call the application-associated knowledge base interface, pass the correct application ID and knowledge base ID, and check if the interface returns a success status to confirm the binding configuration is correct.
- Set a test scheduled synchronization task, wait for the preset time, and check if the knowledge base has updated with the latest research report data to confirm the scheduled configuration is correct.
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.