Policy and Regulatory Basis Q&A for Medical Institution Supervision and Public Health Inspection: Document Parsing and Chunking

Policy and Regulatory Basis Q&A for Medical Institution Supervision and Public Health Inspection: Document Parsing and Chunking

Data Profile for This Category

The typical data for this category comes from health supervision information systems, medical institution electronic registration systems, complaint and reporting platforms, and law enforcement inspection records. The update frequency is monthly. Commonly processed documents include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, penalty case files, and more. Document structures cover structured tables, certificate-style text, formatted law enforcement documents, and other types. Fields include institution name, license scope, inspection items, rectification requirements, penalty basis, and more. There is no unified fixed unit; it varies by document type.

Constraints on Document Parsing and Chunking

Documents in this category have diverse types and large structural differences. Structured tables require retention of cell correspondence. Certificate-style text requires accurate extraction of license numbers and validity periods. Formatted law enforcement documents require complete clause semantics. These factors place high requirements on the format adaptation capability of document parsing. Monthly updated batch documents require consistent parsing to avoid chunking deviations across different processing batches. Some documents are scanned copies or non-standard text exported via OCR, so enhanced parsing support for complex formats is needed. Law enforcement case files often include multi-page attachments and have large single-file sizes, so support for large file uploads and chunking adaptation is required.

Configuration Settings

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

Configuration ItemRecommended ApproachRationale
chunkSize800–1200 charactersDocuments such as penalty case files and supervision opinions contain long paragraph clauses. Excessively long chunking will lose context association, while excessively short chunking will break complete semantic units such as penalty basis and rectification requirements.
chunkSplitterSplit by title + paragraphMost documents have clear document titles and section markers. Splitting by title ensures each chunk has independent, complete semantics and avoids cross-chapter splicing.
customPdfParseEnabledSome documents are scanned copies or supervision inspection forms with complex tables. Enabling this setting calls enhanced parsing to handle non-standard formatted content.
PARSE_FILE_TIMEOUT_SECONDS120–180 secondsParsing large penalty case files or batch monthly inspection records takes a long time. The default timeout duration cannot cover the full parsing process, preventing mid-process interruptions.
UPLOAD_FILE_MAX_SIZE1000 MBLaw enforcement case files often include multi-page scanned copies and attachments, requiring support for large single-file uploads.
chunkSettingModeManual modeAdjustment of chunking parameters is required for different document types such as practice licenses and penalty case files, to meet semantic integrity requirements for specific scenarios.

Three Common Configuration Mistakes

  • Enabling customPdfParse without properly configuring MinerU API parameters causes PDF parsing failure, with a "parsing failed" error displayed in the interface.
  • When a conditional judgment component processes boolean data returned by an HTTP component, skipping type validation and directly using the original boolean value to trigger logic causes parameters to be converted to null values.
  • Failing to split a file when the number of chunks for the uploaded single file exceeds 3000 causes knowledge base generation failure, with a "chunk count exceeded limit" prompt displayed in the interface.

How to Verify Proper Configuration

  • Upload a standard supervision inspection form document, view the parsed chunk list, and confirm that each chunk has complete semantics, with no cross-cell or cross-page splicing.
  • Access the configuration page to check if customPdfParse is enabled and the MinerU API key has been correctly filled.
  • Upload a penalty case file of approximately 100 MB, confirm that no timeout error occurs during parsing, and that the chunk count meets expected values.
  • Test the conditional judgment component’s processing of boolean data, confirm that no parameters are lost, and that the logic triggers normally.

The values provided here are common starting points and should be evaluated against local test 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.