Model Access and Configuration for Shipping Port Research Report Retrieval

Shipping port research report data mainly comes from public reports of the Shanghai Shipping Exchange, China Port Association, and leading securities

What the data for this category looks like

Shipping port research report data mainly comes from public reports of the Shanghai Shipping Exchange, China Port Association, and leading securities firms' transportation industry research teams. There are two update frequency categories: port monthly operation data updates per calendar month, and in-depth industry reports are released quarterly or monthly. Document structure usually includes three parts: summary module, core operation indicator table, industry trend analysis, and policy impact interpretation. Core fields include port code, berth navigation level, container throughput, and cargo throughput. Their corresponding units are none, ten thousand tons level, TEU, and ten thousand tons, respectively.

What constraints do these characteristics impose on model access and configuration

The characteristics of shipping port research report data impose multiple constraints on model access and configuration. Multi-source data has different update cycles. This requires configuring periodic synchronization trigger rules to avoid context logic conflicts caused by mixing weekly operation data and quarterly reports. Core indicators have subdivided units such as TEU and ten thousand tons. Unit standardization mapping rules must be configured to ensure the model accurately recognizes the measurement methods of different indicators. Document length varies widely: short summaries are only hundreds of characters, while in-depth reports can reach tens of thousands of characters. This requires configuring adaptive segment length and recall number rules to ensure core operation indicators are fully retrieved. Port code, as the unique identifier field, requires exact-match recall logic to avoid confusion of retrieval results across ports.

How to Set Configurations

Configuration ItemRecommended ValueRationale
Segment Length800–1200 charactersCore operation indicator paragraphs in shipping port research reports are usually 500-1000 characters. This range can fully cover a single set of data and avoid context fragmentation
Recall CountTop 6 entriesCore indicators of in-depth reports are distributed across multiple paragraphs. 6 entries can cover the core information of 1 to 2 complete reports and avoid redundancy
Similarity Threshold0.75–0.85Fields such as port code and throughput have high semantic similarity. This range can filter irrelevant results while retaining content related to the same port
PARSE_FILE_TIMEOUT_SECONDS300 secondsParsing large in-depth report PDFs or DOCX files takes a long time. 300 seconds can cover the parsing needs of most documents
multi_source_sync_cycleConfigure separately by data source: monthly data syncs weekly, reports sync monthlyDifferent data sources have different update cycles. This configuration ensures data timeliness and synchronization efficiency
UPLOAD_FILE_MAX_SIZE200 MBA single in-depth report file usually does not exceed 150 MB. This value covers most scenarios and avoids excessive storage usage

The parameter values provided on this page are common recommended 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.

Three Common Misconfigurations

  • A connection refused error is returned after starting the service, and logs show that the configured model address cannot be connected. The cause is that network access rules are not correctly configured, preventing FastGPT from establishing a connection with the specified model service.
  • Irrelevant cross-port data appears in retrieval results. For example, searching for Tianjin Port returns operation data for Qingdao Port. The cause is that the Similarity Threshold is not set to a reasonable range, causing low-similarity cross-port content to be incorrectly recalled.
  • A task fails directly with the UPLOAD_FILE_LIMIT_EXCEEDED error when parsing a report larger than 100 MB. The cause is that UPLOAD_FILE_MAX_SIZE is set to a value lower than 100 MB, exceeding the file upload limit.

How to Verify Successful Configuration

  • Upload a standard shipping port research report, and check whether the segment length matches the preset configuration via the parsing preview interface.
  • Enter a specific port code as a retrieval keyword, and check whether retrieval results only include content related to that port to verify the recall rule configuration effect.
  • View the running logs of data synchronization tasks to confirm that multi-source data completes synchronization on schedule according to the preset cycle.
  • Upload a research report file larger than 150 MB, and confirm that no file size limit error is triggered to verify the rationality of the upload configuration.

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.