What the Data for This Category Looks Like
Marketing content data for shipping ports mainly comes from port operation systems, official announcement platforms, route scheduling systems, and offline service script templates. Structured data includes berth status, cargo throughput, and charging standards, with an update frequency of hourly to daily. Unstructured data includes port promotion PDFs, route marketing documents, and customer service scripts, mostly in fixed-format Word or PDF files. Data fields include port code, berth number, cargo type, arrival time, and unit price per ton. Units involve TEU, tons, yuan/ton, and others.
What Constraints These Characteristics Impose on Deployment and Upgrade
Hourly updates of structured data require configuring incremental index synchronization mechanisms during deployment to adapt to high-frequency data changes. Unstructured promotional materials are mostly multi-page long documents. During upgrades, retain existing segmented parsing compatibility configurations to avoid breaking historical indexes with new parsing logic. Structured data with multiple fields includes exclusive fields such as port code and berth number. Configure metadata mapping rules in advance during deployment to prevent field matching errors. Data from different sources has large format differences. The upgrade process must be compatible with old data import templates to avoid failure of historical data migration. Port operation data involves industry compliance requirements. Integrate permission verification configurations during deployment to limit access to sensitive data.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Port marketing content includes multi-page promotional documents and structured reports, with higher parsing time than general scenarios |
UPLOAD_FILE_MAX_SIZE | 500 MB | Most port marketing documents are under 500 MB per file, to avoid excessive resource occupation |
maxContext | 8000–12000 characters | Port professional content contains a large number of technical terms and long paragraphs, requiring longer context to retain semantic completeness |
Recall count | Top 8–12 entries | Port marketing content needs to cover multi-dimensional information such as routes, berths, and cargo types. A reasonable quantity balances recall accuracy and inference efficiency |
Similarity threshold | 0.75–0.85 | Port data fields have strong specificity. An overly high threshold will lead to insufficient effective recall, while an overly low threshold will introduce irrelevant content |
Incremental sync interval | 300 seconds | Real-time data such as berth status is updated frequently. A 5-minute interval meets business real-time requirements |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Symptom: Knowledge base index creation fails, with
ParseTimeoutErrorin logs. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the timeout period was not extended for parsing long port documents. - Symptom: Core service fails to start when deploying the v4.8.21-fix version in a non-Docker environment locally. Cause: Dependent components were not deployed as required, and necessary middleware configurations were omitted.
- Symptom: After upgrading to version 4.8.19 or later, m3e model calls fail, returning
500 Internal Server Error. Cause: The new version adjusted the interface format for model calls, and model path and request parameter configurations were not updated synchronously.
How to Confirm the Configuration Is Correct
- Upload a port promotion PDF document, check if the parsed text segments meet expectations, with no obvious truncation or garbled text.
- After configuring the incremental sync task, manually trigger a sync, and check if structured data fields are fully mapped to knowledge base metadata.
- Initiate a marketing content retrieval request, and verify that the relevance of recall results matches the preset matching logic.
- Check service logs to confirm there are no error messages of type
ParseTimeoutErrororModelCallFailed.
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.