Policy and Regulatory Basis Q&A for Coal Mining Production: Document Parsing and Chunking

Policy and Regulatory Basis Q&A for Coal Mining Production: Document Parsing and Chunking

What this category of data looks like

Coal mining production policy and regulatory basis documents mainly come from official announcements of national coal mine safety supervision agencies, industry competent departments, and internal compliance manuals of enterprises. National-level policies are revised every six months to one year. Internal enterprise systems are updated quarterly. Most documents are in PDF format, with red-headed official document numbers, multi-level clause numbering, and include nested attachments, statistical tables, and engineering diagrams. Fields include issuing authority, effective date, applicable mining area scope, and units such as ten thousand tons, kilometers, workers per shift, and similar.

Coal mine policy documents use multi-level table of contents and clause numbering. This requires chunking to retain contextual connections, to avoid splitting individual compliance requirements. Documents may include nested attachments, statistical tables, and engineering diagrams. This requires the parsing module to support nested content extraction and structured text conversion. Individual documents can be lengthy. This requires setting reasonable parsing timeout thresholds and chunk lengths, to avoid parsing interruptions or chunking anomalies. Each document applies to specific mining areas. This requires retaining metadata associations during chunking, to ensure retrieval results match the compliance requirements of the corresponding mining area.

How to set configurations

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

Configuration ItemRecommended SettingRationale
chunkSize800–1200 charactersAdapts to the average length of coal mine policy clauses, avoiding splitting individual compliance requirements
chunkSplitterChunk by title hierarchyMatches the multi-level table of contents and clause numbering structure of policy documents, retaining contextual connections
customPdfParseEnable nested parsing modeExtract text from nested attachments, tables, and engineering diagrams within documents
PARSE_FILE_TIMEOUT_SECONDS600 secondsAdapts to the parsing time required for single long policy documents, avoiding timeout interruptions
UPLOAD_FILE_MAX_SIZE1000 MBAdapts to the maximum file size of single coal mine policy documents, avoiding upload failures
chunkSettingModeManual configurationAdjust chunking rules for the special structure of coal mine policy documents to meet business needs

Three common errors

  • Symptom: Marker parsing reports an error indicating a split exception. Cause: The chunkSize configuration value does not match the paragraph length of the policy document, leading to abnormal splitting during chunking.
  • Symptom: Multi-level table of contents nested policy documents cannot be fully retrieved. Cause: The directory structure was not associated by title hierarchy during chunking, causing subdirectory content to not be correctly linked to chunked data.
  • Symptom: External PDF parser keys are not correctly configured, leading to document parsing failure. Cause: The external key parameter corresponding to customPdfParse was not configured in the system settings.

How to confirm the configuration is properly set

  • Upload a coal mine policy document that includes multi-level table of contents and nested attachments. Check if the parsed chunk list includes all subdirectory and attachment content.
  • Check the parsing logs to confirm that the PARSE_FILE_TIMEOUT_SECONDS configuration did not trigger timeout errors.
  • Manually adjust the chunkSize value, upload a single long clause document, and confirm that chunking does not split individual compliance requirements.
  • Enter keywords from policy clauses in the knowledge base test interface, confirm that retrieval results include complete clause context.

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.