What the data for this category looks like
Data for large state-owned bank financing daily reports originates from internal corporate credit ledgers, interbank lending business systems, and financing statistics data reported to the central bank. These reports are generated at fixed times each day. Most documents are spreadsheets with multiple worksheets or paginated PDF files, containing fields including date, financing subject, financing amount, financing term, fund use, approval node, partnering institution, and more. The unit for amount is ten thousand yuan, and the unit for term is either natural days or months. Some documents include sub-statistical worksheets categorized by industry or term.
What constraints these characteristics impose on document parsing and chunking
The fixed structured multi-table nature of large state-owned bank financing daily reports requires the parsing process to first identify logical relationships between worksheets, to avoid splitting cross-table business data. The unified format updated daily means parsing rules must adapt to fixed headers, to prevent field recognition errors caused by header shifts. Standardized units for amount and term require parsing to bind fields to their respective units, to avoid separating data from its units after chunking. In scenarios where a single worksheet has a large number of rows, it is necessary to avoid splitting consecutive business records for the same financing subject, to ensure chunked data maintains business integrity. Additionally, daily reports may include internal annotation fields, so support is needed to exclude parsing and chunking of non-public fields based on configuration.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_EXCEL_MULTI_SHEET | Enabled | Large state-owned bank financing daily reports often include multiple business category worksheets. Enabling this option allows complete parsing of all valid worksheet content |
chunk_size | 800–1200 characters | The information length of a single financing business is approximately 300–500 characters. Reserving context space avoids splitting business entities |
chunk_overlap | 100–150 characters | Retains associated fields from adjacent business records, preventing breaks in cross-chunk business logic |
PARSE_FIELD_MAPPING | Mapped according to the preset large state-owned bank financing daily report template | Adapts to the fixed header field order, preventing recognition of misaligned business data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large daily report files include multiple sheets and large volumes of row data, reserving sufficient parsing time |
EXCLUDE_FIELDS | Configure internal annotation field lists based on actual needs | Filters non-public fields, complying with data usage specifications |
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 targeted analysis, and it is recommended to test against your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After uploading a large state-owned bank financing daily report, knowledge base search tests return empty results or throw errors. Cause: The multi-sheet parsing configuration is not enabled, and only the first worksheet is parsed, causing most business data to not be indexed.
- Phenomenon: After setting a custom chunk length, chunking results split consecutive business records for the same financing subject. Cause: The chunking rule only triggers based on character length, and no logic to split along business entity boundaries is configured.
- Phenomenon: Timeout errors occur when parsing large daily report files. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration is not adjusted, and the default timeout duration is insufficient to complete multi-sheet parsing.
How to confirm configurations are correctly set
- Upload a single test large state-owned bank financing daily report, review the parsed text content, and confirm that fields from all worksheets are correctly recognized.
- Perform a knowledge base search test, enter keywords including financing subject and amount, and confirm that returned chunked content includes complete business information.
- Review chunking logs, and confirm that no business records for the same financing subject are split across different chunks.
- Check the excluded fields configuration, and confirm that non-public fields are not included in the parsed knowledge base content.
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.