What data looks like for this category
Shipping port-related data primarily comes from official public statistics from port management authorities, ship scheduling system logs, customs clearance records, and berth operation ledgers. Data update cycles follow voyage or calendar day schedules: single voyage data updates in real time as ships berth and depart, while monthly summary data is released within five working days of the following month. Most documents are in structured table format, including fields such as berth number, ship IMO number, throughput (unit: TEU or ton), berthing duration, and cargo type. Some include unstructured attachments with satellite positioning tracks.
What constraints these characteristics impose on the citation sources and traceability link
Shipping port data has many structured fields with clear units. Traceability must bind field names to their corresponding units to avoid confusion over throughput statistical calibers. Real-time voyage-level data requires binding a unique voyage ID as a traceability identifier. Relying solely on date ranges cannot achieve precise traceability. Multi-source data (port operations, customs records, satellite tracks) must be configured with independent data source labels to ensure data source channels can be distinguished during traceability. Unstructured satellite positioning attachments must be bound to corresponding berthing records to prevent incorrect data associations. Due diligence reports must limit the time window for cited data to avoid including invalid data across voyages or cycles in the traceability scope.
How to Configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
recall count | top 200 entries | Shipping port data has a large number of single-source knowledge base entries. This setting covers multi-dimensional operational data and avoids missing key information |
similarity threshold | 0.72–0.78 | Structured field matching has high precision requirements. A threshold that is too low will introduce irrelevant port data, while a threshold that is too high may miss valid entries |
maxContext | 12000 characters | A single port due diligence report needs to reference multiple voyage ledgers. The total context length must adapt to long text processing requirements |
data source labels | port operations / customs records / satellite tracks | Distinguish three core data sources to ensure precise pointing to data source channels during traceability |
chunk length | 800–1000 characters | Port operation ledgers contain multiple field combinations. Chunk length adapts to the splitting logic of structured text and avoids field splitting breaks |
rerank return count | top 80 entries | Sort based on multi-source data relevance, retain core operational and compliance data, and reduce redundant context information |
Three Common Mistakes
- Symptom: The number of context entries displayed on the page does not match the number sent to the inference interface. Some knowledge base entries exceeding the set citation limit are still called. Cause: No
data source filtering rulesare configured, so cross-category and expired port data is not intercepted in advance. Additionally, the unit for themaxContextparameter is configured incorrectly, with character count mistakenly set to entry count. - Symptom: Traceability cannot distinguish between throughput units (TEU/ton), leading to statistical caliber errors in due diligence reports. Cause: Field metadata is not retained during chunk processing, and unit identification fields are lost when splitting text.
- Symptom:
413 Request Entity Too Largeerror occurs when calling the inference interface. Cause: The actual value ofmaxContextis not limited, so the total context length of a single request exceeds the default limit of the inference interface.
How to Confirm Proper Configuration
- View the knowledge base's data source label configuration. Confirm that independent labels have been created for port operations, customs records, and satellite tracks. Use the
data source filterfunction to verify that the labels take effect. - Trigger a test call, check the inference interface's request logs, and compare the number of context entries displayed on the page with the parameters received by the interface. Confirm that the two values match.
- Extract a test port ledger data set, verify that the split text retains field names and unit information. Use the
preview chunksfunction to confirm this. - Simulate a test scenario where the citation limit is exceeded. Confirm that entries exceeding the threshold will not be included in the context. Use the
recall testtool to verify that the filtering rules take effect.
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. It is recommended to test on your own samples before finalizing settings.
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.