Internal Office and Employee Services for Highway Maintenance and Road Property Rights Management: Document Parsing and Chunking

Internal Office and Employee Services for Highway Maintenance and Road Property Rights Management: Document Parsing and Chunking

What this category of data looks like

Daily data for this category comes from highway maintenance management systems, bridge and tunnel monitoring systems, road patrol inspection systems, and traffic flow monitoring data. The update frequency is daily. Typical documents include maintenance plans, patrol logs, defect disposal orders, road-related construction permits, and road property damage compensation forms. These documents contain fields such as section number, defect type, disposal time limit, compensation amount, and construction permit number. Units include kilometers, square meters, yuan, and other standard units.

What constraints these characteristics impose on document parsing and chunking

The high-frequency daily update requirement demands efficient document parsing and chunking processes, to avoid delays that disrupt internal office workflows. Documents from multiple systems have large format differences, so parsing rules for different structures must be supported. Maintenance plans and defect disposal orders contain both structured fields and natural language descriptions, so the integrity of structured extraction and text chunking must be balanced. Long documents such as road-related construction permits must retain complete approval process information, to avoid splitting key node content. Short documents such as patrol logs must avoid excessive chunking that breaks critical information.

How to configure settings

For FastGPT v4.17.0, the following configuration items can be adjusted for this category scenario:

Configuration ItemRecommended SettingRationale
chunkSize800–1200 charactersAdapts to the field density of documents such as maintenance plans and patrol logs, avoids splitting key approval processes or defect information
chunkSplitterSeparate by paragraph + titleRetains the chapter hierarchy of maintenance orders and construction permits, matches natural paragraph breaks and title structures within documents
customPdfParseEnable structured extraction modeAdapts to form fields in road-related construction permits and road property damage compensation forms, improves structured data retention rate
PARSE_FILE_TIMEOUT_SECONDS600 secondsAdapts to the parsing duration of large monthly maintenance plan summary documents, avoids timeout interruptions of the parsing process
UPLOAD_FILE_MAX_SIZE1000 MBSupports batch upload of monthly patrol log summary files, meets the needs of batch data import for internal office work
chunkSettingModeStructured firstBalances the retrieval weight of natural language descriptions and structured fields in patrol logs

Three common configuration mistakes

  • Symptom: The knowledge base preview page displays table content, but the table does not appear in search results. Cause: Structured extraction mode for customPdfParse is not enabled, only plain text parsing is used, resulting in loss of table structure.
  • Symptom: The retrieval priority of structured fields and auxiliary data in chunked content is unbalanced. Cause: chunkSettingMode is not configured as structured first, resulting in mismatched weights between natural language content and form fields.
  • Symptom: Documents chunked by a local vector model cannot be retrieved normally after being uploaded to the server. Cause: The chunkSize configuration is not unified, and chunking thresholds for different models do not match, resulting in inconsistent vector embedding dimensions.

How to verify correct configuration

  • Upload a road-related construction permit document that contains tables, check if the knowledge base preview page retains the table structure, to confirm that the customPdfParse configuration takes effect.
  • View the chunking preview interface, verify that the chunk length falls within the preset chunkSize range, confirm that chunk boundaries do not split key approval numbers or defect descriptions.
  • Upload documents exported from different systems, verify that the parsed fields fully match the original document content, to confirm adaptability to multi-system data.
  • Test uploading batch documents within 1000 MB, confirm that there are no timeout errors during upload and parsing processes, to verify that the PARSE_FILE_TIMEOUT_SECONDS configuration is appropriate.

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.