What the Data for This Category Looks Like
The data for diversified financial intelligent due diligence reports primarily comes from operating ledgers of non-bank financial institutions, regulatory submission documents, third-party credit data sources, and industry research drafts. Update cycles vary based on business scenarios: monthly operating data is updated monthly, quarterly regulatory reports are updated quarterly, and full annual due diligence reports are updated once per year. Most documents have multi-chapter structured content, including modules such as entity overview, asset and liability details, risk control indicators, and related transaction lists. They often contain nested multi-column tables, with fields including contract amount (unit: ten thousand yuan), overdue days, guarantee method, performance status, and more. Some documents are PDF files with nested tables or Excel files with multiple worksheets.
Constraints on Document Parsing and Chunking
The multi-format, nested structure, and multi-field characteristics of diversified financial due diligence reports create multiple constraints for document parsing and chunking. Nested tables and multi-worksheet Excel files are prone to cell splitting errors, which can cause core business fields to be lost or misaligned. Multi-column business tables may exceed the default column limit of basic parsing, requiring adaptation to multi-column parsing logic. Long documents and multi-module structures require retaining contextual connections during chunking, to avoid splitting continuous data from the same business scenario. Documents with different update cycles need matching chunking strategies to ensure retrieval consistency between incremental and full data. The presence of unit-attached fields requires retaining unit information during parsing, to prevent semantic ambiguity during retrieval.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_ENABLE_MULTI_SHEET | Enabled | Diversified financial due diligence reports often include business details across multiple worksheets. Enabling this setting allows full extraction of content from each worksheet |
PARSE_TABLE_MAX_COLS | 15–20 columns | Adapts to the range of multi-column business tables common in diversified financial due diligence reports, avoiding truncation of column data |
chunkSize | 800–1000 characters | Balances contextual connection and retrieval accuracy for long-form due diligence report text, avoiding chunks that are too large or too small |
PARSE_MINERU_API_KEY | Enter a valid API key obtained from the platform | Enabling enhanced PDF parsing requires binding a legitimate API key to improve parsing accuracy for nested tables and complex layouts |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for long documents and multi-table files, preventing parsing failures due to timeout |
UPLOAD_BATCH_SIZE | 50 items per batch | Adapts to the large number of entries generated after parsing multi-column tables. Batch uploading reduces interface pressure |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on self-provided samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: After an Excel due diligence report with multi-column business fields is uploaded, the parsing result only retains the first two columns of content. Cause: The
PARSE_TABLE_MAX_COLSconfiguration item is not adjusted. The default parsing column limit is 2, causing subsequent business fields to be lost. - Issue: After the enhanced PDF parsing function is enabled, an "API call failed" error appears, or parsing results show no improvement. Cause: The
PARSE_MINERU_API_KEYconfiguration item is not filled correctly, or the key has not completed the platform authorization process. - Issue: Continuous data from the same business module is split into multiple independent chunks after a long document is parsed. Cause: The
chunkSizeconfiguration is not adjusted based on document structure. The chunk length does not match the chapter and table range of the due diligence report.
How to Verify Correct Configuration
- A single Excel test file containing multi-column business fields may be uploaded. The parsing result is checked to confirm it includes all business columns, and the
PARSE_TABLE_MAX_COLSconfiguration is adjusted to match the document's column range. - A single-page PDF test file containing nested tables may be uploaded using enhanced parsing mode. The parsing result is checked to confirm it fully extracts nested sub-table content, and the
PARSE_MINERU_API_KEYconfiguration is validated. - A single long document test file may be imported. The contextual connection of chunking results is reviewed, and the
chunkSizeconfiguration is adjusted to a range where business data is not split. - Parsing task logs are checked to confirm there are no timeout errors, and the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is adjusted to match the document's parsing time requirements.
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.