What Data for This Category Looks Like
Qualification compliance bidding-related data comes primarily from two types of documents. First, qualification review lists released by bidders, presented as structured numbered text, including fields such as review clause ID and qualification requirements. Second, qualification certification materials submitted by bidders, covering scanned qualification certificates, performance proof documents, financial statements and more. Most materials are multi-page PDF or Word format.
The update rhythm follows individual bidding project cycles. Updates occur as qualification materials are submitted and reviewed. Data within a single project cycle only applies to current bidding requirements and corresponding bid materials.
Fields include qualification category, certificate number, issuing authority and validity period. Validity period units are mostly years or months. Qualification level labels often use units such as "level" or "first class".
Constraints Imposed on Document Parsing and Chunking
The mixed format of the two document types requires the parsing process to adapt to both structured lists and unstructured certification materials. It is necessary to avoid splitting review clauses and corresponding certification materials into unrelated chunks.
Qualification requirement fields vary widely across individual bidding projects. Fixed-length chunking easily breaks the contextual connection between review clauses and qualification certifications. Chunking must be based on semantic blocks.
Most qualification certification materials are scanned documents with stamps and watermarks. Basic OCR often produces recognition errors, so high-precision parsing capabilities are required.
In addition, accurate extraction of qualification fields requires chunking to retain the binding relationship between fields and corresponding review clauses, to avoid losing field information due to splitting.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
enable_ocr | Enabled | Most qualification certification materials are scanned documents or PDFs with layout interference, so high-precision text extraction is required |
PARSE_PDF_USE_MARKER | Enabled | Can improve parsing accuracy for qualification certificate PDFs with stamps and watermarks |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large qualification collection PDFs take longer to parse, avoid mid-task timeouts |
chunk_size | 800–1200 characters | The semantic block length of qualification review clauses and certification materials mostly falls within this range, avoid splitting related content |
chunk_overlap | 100–150 characters | Retain contextual connections for qualification fields, avoid losing the corresponding relationship between clause numbers and validity periods across chunks |
PARSE_EXCEL_ENABLE | Enabled | Adapt to structured qualification summary Excel files submitted by bidders, directly read cell contents |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: An
OCR Errorerror appears when parsing qualification PDFs, and logs show text extraction failed. Cause:PARSE_PDF_USE_MARKERis not enabled, and the original PDF is a scanned document with complex stamps. Basic OCR cannot recognize valid content. - Issue: After uploading an Excel qualification summary sheet, the workflow cannot read cell contents. Cause: The
PARSE_EXCEL_ENABLEconfiguration is not enabled, or the correctPARSE_EXCEL_SHEET_INDEXparameter is not specified. - Issue: In a private deployment environment, PDF parsing shows a timeout, but the parsing service log shows the task completed. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is set too short, and does not match the actual time required by the parsing service.
How to Verify Correct Configuration
A single-page qualification scanned document is uploaded. The parsed text block is checked to confirm it contains the complete certificate number and validity period, and the accuracy of the OCR extraction results is verified. A bidding list document containing multiple review clauses is uploaded. The chunked content is checked to confirm it is split according to clause semantics, and no chunk content spans multiple clauses. After configuring PARSE_FILE_TIMEOUT_SECONDS, the maximum allowable size qualification collection file is uploaded. The parsing task duration is monitored to confirm it meets expectations. A structured Excel qualification table is uploaded. The workflow node is confirmed to be able to read the cell contents of the specified worksheet.
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.