Policy and Regulatory Basis Q&A for Port Shipping: Document Parsing and Chunking

Policy and Regulatory Basis Q&A for Port Shipping: Document Parsing and Chunking

What the data for this category looks like

Port shipping policy and regulatory basis documents mainly originate from official releases by the Ministry of Transport, direct maritime administrations, local port administrations, as well as internal work rules and safety specifications of port groups. Update frequency adjusts irregularly alongside policy revisions and new regulation releases. Common formats are docx and pdf. Some documents include nested tables, chapter numbering, and effective date markings. Core document fields include policy document number, applicable port area scope, effective time, operational requirements, and penalty clauses. Units cover meters, tons, hours, rate percentages, and other professional measurement standards.

What constraints these characteristics impose on document parsing and chunking

The multi-format, nested table, and specialized field characteristics of port shipping policy documents create multiple constraints for parsing and chunking. Nested table parsing must retain row and column structure to avoid content loss or misalignment. Chapter numbering and effective dates are core metadata, and must be fully retained within chunks without being split across multiple blocks. Batch documents updated irregularly require support for fast upload and batch parsing, while accommodating format differences across sources. Some documents have long paragraphs spanning pages, so chunking logic must avoid breaking the integrity of individual policy details.

Configuration Settings

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended ValueRationale
chunkSize800–1200 charactersPort shipping policy documents mostly contain individual port area operational details or single rate tables. This range preserves content integrity
chunkSplitterSplit by title + paragraphPolicy documents have clear chapter and clause titles. Splitting by title avoids invalid cross-chunk chunks
customPdfParseEnable MinerU adaptation modeAdapts to third-party parsing services, resolves parsing loss issues with complex nested tables
PARSE_FILE_TIMEOUT_SECONDS300–600 secondsLarge policy compilation documents take longer to parse. This range prevents task interruption from mid-run timeouts
UPLOAD_FILE_MAX_SIZE1000 MBSupports batch upload of multiple policy documents, meets batch update needs for regional policies and group regulations
chunkSettingModeManual configurationFor differentiated policy documents across port areas, chunk parameters can be flexibly adjusted to adapt to regional details

Three Common Mistakes

  • No parsing results appear in the knowledge base after uploading a docx document, or content displays incorrectly. Cause: Some docx documents use non-standard embedded styles or encrypted formats, and the basic parsing engine cannot fully recognize the document structure.
  • Table content from uploaded policy documents is split across multiple chunks. Cause: The chunkSize setting is too small, and the automatic adjustment logic for table boundaries is not adapted, causing the table to be forcibly split.
  • Out-of-memory error occurs after deploying the MinerU parsing service, or GPU resources cannot be recognized. Cause: The CUDA device is not specified in the docker startup parameters, and the memory usage of the parsing service is not restricted, and it does not match the current graphics card driver version.

How to Confirm Correct Configuration

  • Upload a port navigation safety policy PDF document containing nested tables, check if the parsed markdown format fully retains the table's row and column structure and header information.
  • Upload a port policy compilation document exceeding 500MB, confirm that the parsing task does not trigger a timeout error, and all chapter content is correctly chunked.
  • Adjust the chunkSize parameter to 600 characters and 1500 characters, compare the chunking results, confirm that it can flexibly adapt to the length requirements of different documents.
  • Check the system operation logs, confirm that the MinerU service has successfully mounted GPU resources, and no prompts of insufficient memory or device recognition failure appear.

The values provided are common starting points and should be measured against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.