Policy and Regulatory Basis Q&A for Infrastructure Construction: Document Parsing and Chunking

Policy and Regulatory Basis Q&A for Infrastructure Construction: Document Parsing and Chunking

What This Category of Data Looks Like

Infrastructure construction policy and regulatory basis data mainly comes from industry regulations, bidding management measures, construction permit policies, quality and safety standards released by the Ministry of Housing and Urban-Rural Development and housing and urban-rural development authorities of various provinces and cities. The update rhythm is irregular, following the release of new policies and revisions of industry standards. Most documents have a multi-chapter structure, including fields such as policy document number, issuing authority, release date, scope of application, and specific clauses. Some documents use specialized units like ten thousand yuan, square meters, and construction period. Some scanned documents have complex tables and formatting issues.

Constraints on Document Parsing and Chunking

Policy documents have multiple nested chapter levels. When chunking, retain the contextual connection between chapter titles and clauses, avoid splitting core policy clauses. Scanned policy documents have OCR recognition risks, so enable high-precision parsing workflows. Fields with specialized units must be fully retained, otherwise subsequent Q&A accuracy is affected. Large policy documents have large file sizes, may time out during parsing. Adjust the timeout threshold to adapt when large models cannot recognize parsed content.

Configuration Settings

Configuration ItemRecommended ValueRationale
chunkSize800–1200 charactersMatches the length of single clauses in infrastructure construction policy documents, avoids splitting core policy clauses, retains document numbers and unit information
chunkSplitterSplit by title + paragraphAligns with the chapter hierarchy structure of policy documents, ensures complete context after chunking
customPdfParseEnabledAdapts to scanned policy documents, enables high-precision parsing to reduce OCR errors
PARSE_FILE_TIMEOUT_SECONDS600 secondsAdapts to large infrastructure construction policy PDF documents, avoids parsing timeouts
UPLOAD_FILE_MAX_SIZE1000 MBSupports upload and parsing of large bidding policy documents
chunkSettingModeManual modeAdjusts chunking rules manually for the special structure of policy documents, adapts to different types of policy documents

Three Common Mistakes

  • Unable to enable the high-precision parsing function: The cause is that the customPdfParse configuration is not enabled, or the corresponding setting is not enabled in FastGPT v4.17.0.
  • OCR Error error occurs: The cause is that high-precision PDF parsing is not enabled, or OCR function is not enabled for the uploaded scanned policy document.
  • Large model does not trigger file parsing: The cause is that chunkSettingMode is not configured to manual mode, or the chunking rules do not match the policy document structure, causing the large model to fail to recognize the parsed content.

How to Confirm the Configuration Is Correct

  • Upload a scanned infrastructure construction policy document, check if the parsed result retains the original document's number, issuing authority, and chapter titles. Confirm that OCR effect is normal after customPdfParse is enabled.
  • Upload a policy PDF of around 100 MB, check if parsing completes within PARSE_FILE_TIMEOUT_SECONDS.
  • View the chunked text, confirm that the length of each chunk falls within the 800–1200 character range.
  • Confirm the FastGPT v4.17.0 version, check if the configuration items have been saved correctly.

The values given 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.