What the data for this category looks like
Data for general comprehensive financial report analysis comes primarily from publicly disclosed periodic enterprise reports and internal management financial documents. Update cycles follow quarterly, semi-annual, and annual schedules. Document structures include standardized financial statement modules, non-standardized note explanations, and management analysis content. Fields cover conventional financial indicators and special fields related to other comprehensive income. Units mostly use yuan, ten thousand yuan, or hundred million yuan. Some documents from cross-border enterprises include multi-currency translation data.
What constraints do these characteristics impose on document parsing and chunking?
The large volume, mixed structure, and special fields of this category create multiple constraints for document parsing and chunking. Long financial report documents often trigger parsing timeouts, so systems must support logic for processing large files. The mixed structure of standardized statements and non-standardized notes requires distinguishing different content modules during parsing to avoid cross-module splicing. Special fields such as other comprehensive income must retain contextual associations, so chunking must not separate fields from their corresponding explanations. Multi-currency translation data must retain unit information to prevent confusion between values of different currencies.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | Covers most financial report files sized 10–50 MB, and avoids excessive parsing resource usage from overly large single files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing time required for large financial reports, and prevents task interruptions from mid-process timeouts |
chunk_size | 800–1200 characters | Balances contextual integrity for long paragraphs and table blocks in financial reports, and avoids overly fragmented or overly long chunks |
chunk_overlap | 100–150 characters | Retains cross-chunk field association information for financial reports, and prevents key indicators and their explanations from being split apart |
excel_split_mode | Split by row | Adapts to the one-row-one-data format of financial report Excel files, and avoids merging multiple rows of content into a single chunk |
custom_delimiter | Notes, Management Discussion | Sets custom delimiters for non-standardized sections of financial reports to distinguish different content modules |
The parameter values provided on this page are common starting points for configuration setup. 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 your own samples before finalizing settings.
Three common mistakes
- Scenario: A 10–20 MB Word document throws a parsing timeout error, with the task status showing timeout. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient for processing large financial report parsing workflows. - Scenario: After importing an Excel-format financial report, automatically split chunks contain multiple rows of data, with the number of rows per chunk exceeding expectations. Cause:
excel_split_modewas not set to Split by row. The default splitting logic merges multiple rows of content into a single chunk. - Scenario: Specific financial report chunks cannot be accurately recalled, while a newly created knowledge base with the same configuration can recall content normally. Cause:
enable_table_parsewas not enabled during the first import. Table-based financial report content was not accurately extracted, resulting in missing key field information in chunks.
How to confirm configurations are properly set
- Upload a single test financial report file sized 10–20 MB, check the completion status of the parsing task, and confirm no timeout interruptions occur.
- Import an Excel-format test financial report file, and check whether the chunk results correspond one-to-one with each row of data.
- Randomly select a table module from the financial report, and check whether the chunk content fully retains the table structure and field information.
- Enter keywords for special fields in the financial report, and verify whether the chunk recall results include the corresponding contextual 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.