What the data for this category looks like
Data for state-owned large bank intelligent due diligence reports comes primarily from internal credit approval archives, annual audit reports, regulatory disclosure documents, and customer credit ledgers. Update cycles align with individual credit project timelines. Bulk due diligence reports are updated quarterly. Most documents are multi-sheet Excel files or PDFs with merged cells. Their structure includes credit subject basic information, multi-period financial indicator tables, collateral detail lists, and risk rating fields. Fields include standardized financial numerical items with clear unit labels. Some documents have repeated page headers and merged cell formatting.
What constraints do these characteristics create for document parsing and chunking
Multi-sheet and merged cell document formats cause basic parsing tools to lose inter-sheet relationships, leading to misplaced values or missing fields. Repeated page headers split continuous data for the same financial indicator, harming semantic integrity after chunking. Numerical fields with clear units require the parsing process to retain the binding between values and units, to avoid unit confusion during later retrieval. The volume of bulk documents and the length of individual documents increase the risk of parsing timeouts. Additionally, due diligence reports from different branches have minor format differences, requiring adaptable parsing rules to match varying page layouts.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | State-owned large bank due diligence report single files often contain multi-period financial data, with typically large file sizes, to support bulk import requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing multi-sheet Excel files and long documents takes longer, to avoid interrupting the parsing process due to timeout |
Segment Length | 800–1200 characters | Financial indicator paragraphs in due diligence reports have coherent semantics. This length retains complete context for indicators, avoiding splitting cross-page financial data |
chunkOverlap | 150–200 characters | Retains associated financial indicator information across chunks, avoiding loss of indicator comparison logic after chunking |
enable_excel_multi_sheet | Enabled | State-owned large bank due diligence reports are mostly stored in multi-sheet formats. Enabling this option fully parses all worksheet content |
csv_parse_mode | Parse by column | Adapts to the multi-column CSV format exported from due diligence reports, avoiding the limitation of only recognizing two columns of data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After uploading an Excel file, the parsing result only includes content from the first worksheet. Cause: The
enable_excel_multi_sheetconfiguration item is not enabled, and only the first worksheet is parsed by default. - Symptom: Calling the parsing API returns a
408 Request Timeouterror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default timeout duration is insufficient for parsing long documents. - Symptom: The locally deployed parsing service returns a
Connection refusederror. Cause: The port mapping for the local parsing service is not configured correctly, or the Docker container failed to start.
How to confirm the configuration is set correctly
- Upload a single multi-sheet Excel due diligence report, and check if the parsed text includes content from all worksheets.
- Upload a PDF due diligence report longer than 10000 characters, and check if the parsing process completes within the preset time without timeout errors.
- Review the parsed chunked text, and confirm that financial numerical values and their corresponding units appear in the same chunk.
- Upload a multi-column CSV file, and check if all column data is fully recognized after importing into the knowledge base.
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.