What the relevant data looks like
Engineering consulting core data comes from project feasibility study reports, cost estimation documents, tender bill of quantities, industry technical specifications, project progress ledgers, and other materials required for financial institution infrastructure project investment research. Document formats include long PDFs with official tables of contents, Excel tables with multi-level merged headers, structured Word project reports, and scanned technical drawings. Data updates follow project phases: multiple document versions are generated during feasibility study, review submission, and finalization stages. Industry specifications are updated quarterly or annually. Document fields include project number, cost amount (units such as yuan per square meter, man-days, cubic meters), progress calendar days, specification document numbers, and other professional information.
Constraints on document parsing and chunking
The multi-type and highly professional nature of engineering consulting documents creates clear constraints for parsing and chunking. Long PDFs with tables of contents must be split into chapters using official bookmarks to avoid hard cuts that disrupt professional logic. Excel tables with merged headers must retain their hierarchical structure, otherwise field mapping will be chaotic after parsing. Scanned technical drawings require OCR to recognize text and retain chart positions, otherwise core technical data will be lost. Large archived documents have large file sizes, so longer parsing timeout periods must be supported to avoid task interruptions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_OCR_ENABLE | Enabled, for scanned documents | Engineering consulting documents contain large numbers of scanned technical specifications and cost drawings, so OCR is required to extract text content |
PDF_PARSE_USE_BOOKMARK | Enabled | Most engineering consulting PDFs include official table of contents bookmarks; splitting by bookmarks ensures chapter integrity |
CHUNK_SIZE | 800–1200 characters | Engineering consulting documents contain professional formulas, tables and terminology. Overly long chunks will lose contextual association, while overly short chunks will disrupt professional logic |
EXCEL_PARSE_MERGE_CELL | Retain merged cell hierarchy | Engineering consulting Excel cost tables often use multi-level merged headers. Retaining the hierarchy prevents field mapping errors |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing a single hundreds-page engineering feasibility study PDF takes significant time. The default timeout cannot cover the complete parsing process |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single large archived project documents can reach hundreds of megabytes in size. A larger upload size limit must be supported |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After uploading an Excel cost table, the vectorized index shows empty fields or missing units. Cause: The
EXCEL_PARSE_MERGE_CELLconfiguration is not enabled, and the header hierarchy of merged cells is not retained, resulting in chaotic field mapping after parsing. - Symptom: After uploading a scanned engineering specification PDF, the parsing result has no valid text or a large number of garbled characters. Cause: The
PARSE_OCR_ENABLEconfiguration is not enabled, or the OCR vocabulary adapted to the professional field is not specified, making it impossible to recognize engineering-specific terminology. - Symptom: After calling the API to upload a large engineering PDF, the parsing task times out early. Cause: The
PARSE_FILE_TIMEOUT_SECONDSis not adjusted to above 600 seconds; the default timeout is insufficient to complete the parsing of hundreds of pages of documents.
How to Confirm Correct Configuration
- Upload a single scanned engineering specification PDF, verify that the parsing result contains complete and recognizable professional text, and confirm that the OCR parsing configuration is enabled.
- Upload an Excel cost detail table with multi-level merged headers, verify that the parsed fields retain the original header hierarchy, and confirm that the Excel merged cell parsing configuration is correctly set.
- Upload a hundreds-page project feasibility study PDF, verify that the chunking results split chapters according to the document's built-in table of contents, and confirm that the table of contents recognition configuration is enabled.
- When calling the upload API, check whether the request parameters include the corresponding configuration items, and confirm that the API call parameters are consistent with the interface configuration.
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.