What the Data for This Category Looks Like
Logistics intelligent due diligence report data primarily comes from logistics waybill management systems, in-vehicle GPS terminals, warehouse WMS systems, import and export customs declarations, and goods ownership documents. Data update frequencies vary by module: waybill and tracking data updates hourly, while warehouse temperature and humidity and customs data updates trigger with business processes. A single report document includes fields such as waybill number, cargo category, billable weight, volume, origin and destination, transportation lead time, abnormal event ledger, and expense details. Weight units use kilograms, volume units use cubic meters, and lead time is marked in hours or calendar days.
What Constraints Do These Characteristics Impose on Deployment and Upgrade
The data volume of logistics due diligence reports grows with business scale, and multi-source heterogeneous update rhythms impose three constraints on deployment and upgrade. First, hourly updated waybill and tracking data require adjusting the trigger interval of incremental sync tasks to avoid overusing cluster resources from full data pulls. Second, the need to extract multi-dimensional structured fields requires parsing models to adapt to multi-field extraction rules, and configurations must be updated synchronously during upgrades. Third, single reports may include bulk waybill attachments, so file upload and parsing timeout thresholds need adjustment to prevent interruptions during large file processing.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Logistics reports often include bulk waybill and tracking attachments, and single-file parsing takes significant time |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Bulk waybill Excel or PDF attachments have large file sizes, requiring adaptation for large file uploads |
maxContext | 800–1200 characters | Logistics fields are mostly structured information, so context length must be controlled to ensure extraction accuracy |
| Recall Count | Top 8 entries | Logistics due diligence requires covering waybill, warehouse, and abnormal data; too many recalled entries introduce redundant content |
| Similarity Threshold | 0.75–0.85 | Logistics field semantics have strong consistency; a threshold that is too low introduces irrelevant matches, while a threshold that is too high fails to retrieve valid content |
| Incremental Sync Interval | 30 minutes | Hourly updated waybill data requires frequent synchronization to avoid data lag affecting due diligence accuracy |
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. Analyze specific issues on a case-by-case basis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: After configuring SearXNG as a retrieval source, testing returns 0 results, and the backend displays a
502 Bad Gatewayerror. Cause: The local mirror address of SearXNG was not configured to a network segment accessible within the container, so the FastGPT container cannot connect to the retrieval source. - Phenomenon: After upgrading from 4.8.18 to 4.8.20, running the container startup command throws a
database connection failederror in the initialization script. Cause: The original database mount volume was not retained during the upgrade, so the new container cannot read the database connection information from the old version configuration. - Phenomenon: After upgrading from 4.8.17 to 4.8.18, previously functional logistics knowledge base cannot be retrieved, and the console shows
embedding model not foundwith an empty field. Cause: The vector model configuration mapping was not updated during the upgrade, so the new container cannot load the index files of the original model.
How to Confirm Configurations Are Correct
- Upload a standard logistics waybill attachment, check if the parsed result includes preset waybill, warehouse, expense and other fields, to confirm that the parsing configuration adapts to the logistics data structure.
- Start the incremental sync task, check the execution records in the sync logs, to confirm that the sync interval configuration matches the update rhythm of business data.
- Initiate a logistics due diligence retrieval, verify the number and matching degree of returned results, to confirm that the RAG retrieval configuration is effective.
- After upgrading, access the container interior, check the database connection and vector model loading status, to confirm that configurations have not encountered exceptions due to version updates.
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.