Document Parsing and Chunking for Infrastructure Engineering Research Report Retrieval

Infrastructure engineering research reports mainly come from independently developed industry analysis reports from financial institutions and public

What the data for this category looks like

Infrastructure engineering research reports mainly come from independently developed industry analysis reports from financial institutions and public infrastructure project bidding announcement documents. Update frequency changes with project milestones. The cycle for large infrastructure project research reports can span several months from project initiation to completion, while routine tracking reports are updated monthly. Document structures typically include project overview, bill of quantities, and cost analysis modules, with clear fields such as project budget (unit: ten thousand yuan), construction period (unit: days), material unit price (yuan/ton, yuan/cubic meter). Some documents include table images exported from CAD and hand-drawn annotations.

Constraints Imposed on Document Parsing and Chunking

Infrastructure engineering research reports have multi-table structures and cross-page lists. Parsing must fully retain table row and column associations, and avoid splitting key bill of quantities entries. This ensures numerical accuracy during financial analysis. Documents contain many precise numerical fields with units. Chunking must bind units to their corresponding values to prevent analysis errors from field misalignment. Some research reports include CAD-exported image tables and hand-drawn annotations. The system must support OCR recognition of embedded image text to avoid missing core cost information that could impact investment decisions. Long document chunking must avoid splitting core decision-making paragraphs like project budget and construction period requirements mid-paragraph. This preserves semantic integrity during retrieval and speeds up key information location.

Configuration Settings

Configuration ItemRecommended SettingRationale
PARSE_TABLE_ENABLEEnabledInfrastructure engineering research reports contain large numbers of bills of quantities and cost tables. Full extraction of row and column data ensures accurate numerical associations.
max_chunk_size800–1200 charactersCore cost analysis paragraphs in infrastructure engineering research reports typically fall within 800 characters. This avoids splitting key numerical associations and preserves semantic integrity for financial analysis.
PARSE_OCR_ENABLEEnabledSome research reports use CAD-exported image-format PDFs. OCR is required to recognize embedded engineering drawings and table text to prevent information loss.
PARSE_TIMEOUT_SECONDS300 secondsParsing and OCR processing for long documents takes extended time. This setting prevents parsing failures from premature timeout.
SEPARATOR["\n\n", "### ", "#### "]Infrastructure engineering research reports have clear title hierarchies. Separating content by titles preserves the integrity of modules such as project overview and cost analysis.
UPLOAD_FILE_MAX_SIZE500 MBLarge infrastructure engineering research report PDFs may include multiple pages of drawings. This setting supports large file uploads to adapt to research reports of varying sizes.

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

Three Common Configuration Errors

  • Symptom: After uploading a PDF, the row and column alignment of the bill of quantities table in the parsing result is misplaced, and values and units are separated. Cause: The PARSE_TABLE_ENABLE configuration is not enabled, or the max_chunk_size setting does not adapt to table width, causing the parsing engine to split table entries.
  • Symptom: A 413 Request Entity Too Large error is returned when uploading a compliant PDF file. Cause: The UPLOAD_FILE_MAX_SIZE configuration is not adjusted to a value matching the file size, exceeding the platform's default limit.
  • Symptom: Parsed content is empty or a PARSE_FAILED status code is returned after uploading a scanned research report. Cause: The PARSE_OCR_ENABLE configuration is not enabled, so the system cannot recognize embedded engineering drawings and table text in images.

How to Confirm Correct Configuration

  • Upload a test PDF containing a quantity table. Verify that the table in the parsing result fully retains row and column associations, and that values and units are bound correctly.
  • Check the platform parsing log to confirm that the status and parameter values of configurations such as PARSE_TABLE_ENABLE and PARSE_OCR_ENABLE match preset settings.
  • Upload test files of different sizes. Confirm that no upload errors occur, and that the UPLOAD_FILE_MAX_SIZE configuration covers the size of the test files.
  • Test chunked text retrieval. Confirm that core cost paragraphs are not split, and that corresponding content can be fully retrieved.

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.