Document Parsing and Chunking for Infrastructure Construction Intelligent Due Diligence Reports

Data sources for infrastructure construction intelligent due diligence reports include project approval documents, bidding documents, construction

What the data for this category looks like

Data sources for infrastructure construction intelligent due diligence reports include project approval documents, bidding documents, construction logs, settlement reports, supervision qualification documents, and more. Updates follow the project cycle, with batch releases: feasibility study reports during the approval phase, weekly and monthly reports during the construction phase, and settlement documents during the completion phase.

Document structures mix fixed templates and unstructured text. They include fields such as project quantity, construction period, and budget amount, with units including cubic meters, square meters, tons, days, ten thousand yuan, and others. Some documents are scanned copies or PDFs with nested tables.

Diverse sources and mixed formats require the parsing module to support multiple file formats, including OCR recognition for scanned copies and full extraction of nested tables.

Batched updated documents have historical versions and batch differences. Chunking must retain source identifiers for each document to avoid mixing content from different batches.

Fields with units such as project quantity and budget amount require that the chunking process does not split the association between numerical values and units. This prevents negative impacts on subsequent retrieval accuracy.

Documents with mixed structures include both long paragraphs from fixed templates and scattered short entries. The chunking logic must accommodate text of varying lengths, avoiding one-size-fits-all splitting rules.

How to set the configurations

Configuration ItemRecommended SettingRationale
pdf_parse_modeenhanced_with_ocrAdapts to PDF formats with scanned copies and nested tables in infrastructure documents, fully extracting text and table content
chunk_size800–1200 charactersCovers long paragraphs from construction logs and short paragraphs from budget entries, avoiding splitting the association between project quantities and their units
chunk_overlap150–200 charactersRetains contextual associations for construction procedures and project quantities, preventing loss of critical information across chunks
parse_timeout300 secondsAdapts to the parsing time required for large infrastructure settlement reports, avoiding mid-process timeout failures
auto_detect_paragraphenabledAutomatically identifies document paragraph structures, adapting to due diligence reports that mix fixed templates and unstructured text
excel_parse_strategypreserve_formatFully retains cell formatting and unit information in infrastructure budget sheets, avoiding field misalignment

The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Issue: The enhanced option for pdf_parse_mode cannot be enabled in the interface, and the parsing log returns the unsupported_parse_mode error. Cause: Corresponding enhanced parsing plugin dependencies are not deployed, or the plugin version is not upgraded to v2 or higher.
  • Issue: Project quantity values and their units are split in chunking results. For example, "500 cubic meters" is split into two separate text blocks. Cause: chunk_size is set too low, failing to retain the complete field association with units.
  • Issue: Calling the /v2/parse/file API returns a 404 Not Found error, and parsing tasks cannot be triggered. Cause: The plugin interface route is not configured correctly, or the deployed pdf-marker version does not expose this interface.

How to confirm configurations are set correctly

  • Upload an infrastructure budget PDF that includes scanned copies and nested tables, verify that the parsing result fully extracts table content and scanned text.
  • Review chunked text blocks, confirm that project quantity values and their corresponding units are not split across different blocks.
  • Call the document parsing API, check that the returned chunked data covers all core due diligence fields.
  • View the plugin management interface, confirm that the pdf-marker plugin version meets requirements and the interface route is configured correctly.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.