What the Data for This Category Looks Like
Shipping port financial report data mainly comes from public annual reports of domestic and overseas listed port companies, monthly statistical bulletins from industry associations, and official disclosure documents from port management authorities. Update cycles are quarterly, semi-annually, and annually. Listed company financial reports are updated at fixed timelines per regulatory requirements, while industry statistical data is updated monthly. Document structures mostly combine structured tables and paragraphs, including fields such as container throughput (unit: TEU), bulk cargo throughput (unit: 10,000 tons), berth utilization rate, number of covered routes, revenue and cost composition, etc. Some documents include segmented business data for port operations.
Constraints Imposed on Retrieval and Recall by These Characteristics
The multi-source, multi-update-cycle, and structured nature of shipping port financial report data creates multiple constraints for the retrieval and recall process. Differences in field naming across data sources require pre-established field mapping rules to avoid missed recall due to inconsistent terminology. Data with different update frequencies needs categorized update strategies: fully synchronized update cycles for fixed-timeline financial report data, and incremental update tasks for monthly statistical data. Single documents containing multiple types of segmented data require controlling text segmentation granularity, to avoid mixing cross-business data in the same paragraph and harming retrieval matching. Additionally, the need for exact matching of structured fields requires adjusting retrieval matching weights to raise the recall priority of structured fields.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Number of Recalled Results | top 10-15 results | Shipping port financial reports include multiple types of segmented business data. Too many recalled results will exceed the context window, while too few will miss core business fields |
Similarity Threshold | 0.72-0.85 | Financial report terminology is highly professional. A threshold that is too low will introduce irrelevant data, while a threshold that is too high will miss similar segmented business fields |
Segment Length | 800-1200 characters | Single financial report documents contain structured tables and paragraph content. Segments that are too long will mix cross-business data, while segments that are too short will damage field integrity |
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Large port financial report documents have lengthy content. Sufficient time must be reserved for parsing to avoid timeout interruptions |
Incremental Update Trigger Rule | triggered by file modification time | Monthly statistical data has a high update frequency. Triggering by modification time avoids repeated full parsing and improves update efficiency |
Reranked Result Count | top 3-5 results | The most relevant core financial report data must be returned first to avoid redundant information interfering with subsequent analysis |
The parameter values provided on this page are common starting points for configuration. Actual values are influenced by document format, data volume, and business rules. Specific situations require individual analysis, and it is recommended to test on local samples before finalizing the settings.
Three Common Misconfigurations
- Issue: Unable to recall the latest monthly throughput data for a specified port during retrieval. Cause: No incremental update task was configured, and only full updates were used, resulting in old data overwriting the latest statistical results.
- Issue: Inconsistent financial report data returned across multiple identical retrieval queries. Cause: The knowledge base data source version was not fixed, and documents uploaded in different batches have data conflicts or update asynchrony.
- Issue: Empty results returned after calling the knowledge base module in a workflow. Cause: The structured field matching switch was not enabled, or field mapping rules were not configured, leading to terminology mismatch.
How to Verify Proper Configuration
- Upload a test port financial report document, check if the parsed segments retain the integrity of structured fields, and adjust the
segment_lengthparameter until the expected result is achieved. - Initiate multiple identical retrieval requests, verify the consistency of returned results, and adjust the similarity threshold and data source update rules to eliminate result differences.
- Configure a workflow to call the knowledge base module, pass preset retrieval keywords, check if the returned results correctly associate with financial report data, and verify the correctness of module configuration.
- View the knowledge base update log, confirm that incremental and full update tasks trigger according to preset rules, with no abnormal interruptions.
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.