What this type of data looks like
Public financial reports and regulatory submission data for urban commercial banks are primarily sourced from official disclosure platforms and regulatory submission systems. Public financial reports are updated on an annual, semi-annual, and quarterly basis. They include complete annual reports and interim reports in PDF format, plus structured regulatory reports in Excel and CSV formats. Document structures include core structured statements such as balance sheets, income statements, and cash flow statements. They also include business notes and regulatory indicator supplementary tables. Fields cover credit asset balance, total deposits, core tier 1 capital net amount, non-performing loan ratio, and similar metrics. Most units use ten thousand yuan or hundred million yuan as the measurement benchmark.
Constraints on Document Parsing and Chunking
Structured statements in urban commercial bank financial reports use individual business entries or single-period data as row units. Splitting these using general chunking rules will break the integrity of individual data entries. Cross-page PDF financial report tables are often parsed into scattered text blocks, leading to disconnected associated data. Long text in the notes section is mixed with structured statements, requiring precise distinction of chunking boundaries between the two types of content. Bulk submitted CSV/Excel files have many fields and uniform units. Failure to split by row will cause data association failure during retrieval. Large-volume annual financial report files increase parsing time, exceeding conventional timeout thresholds.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the length of structured row data and note text in urban commercial bank financial reports, balancing retrieval accuracy and contextual coherence |
custom_delimiter | \n (Excel) or , (CSV) | Excel reports for urban commercial banks use line breaks as the boundary for individual data entries, while CSV files separate fields with commas. Using these delimiters ensures complete individual data entries |
PARSE_FILE_MAX_SIZE | ≤ 200 MB | Covers the common size range of single financial report files for urban commercial banks, preventing large files from being automatically blocked |
PARSE_TIMEOUT_SECONDS | 600 seconds | Reserves sufficient time to parse large-volume annual financial reports, avoiding mid-process timeout interruptions |
enable_structured_parse | Enabled | Retains the field association relationships of standardized structured tables in urban commercial bank financial reports, preventing data dispersion |
max_chunk_overlap | 50–100 characters | Reduces the probability of cross-chunk structured data being split and disconnected, ensuring consistent contextual information |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: After importing an Excel-format urban commercial bank financial report, the automatic chunking result merges multiple rows into one chunk. Single business data cannot be located during retrieval. Cause: The
custom_delimiteris not configured to match the data boundary, and the general paragraph chunking rule is used instead. The single row of Excel data is not recognized as an independent data unit. - Phenomenon: A 15MB annual financial report file triggers a
408 Request Timeouterror during parsing, and the import cannot be completed. Cause:PARSE_TIMEOUT_SECONDSis not adjusted to a value suitable for large files. The default timeout duration is insufficient to complete the full parsing process. - Phenomenon: After importing a CSV-format regulatory report, field associations are lost, and retrieval results show mixed units. Cause:
enable_structured_parseis not enabled. The corresponding relationship between structured fields and measurement units is not retained. Direct text splitting leads to data dispersion.
How to Verify Proper Configuration
- Uploading a single Excel-format urban commercial bank financial report allows confirmation that each row of data corresponds to an independent chunk, and that the
custom_delimiterconfiguration matches the data boundary. - Uploading a large-volume annual financial report file enables monitoring of the parsing process to confirm no timeout errors are triggered, and verification that the timeout configuration item matches the file size.
- Importing a CSV-format regulatory report allows retrieval of specified business fields to confirm that retrieval results accurately match single data entries, and verification that structured parsing configuration is enabled.
- Checking the list of file types supported by the knowledge base confirms coverage of the common PDF, Excel, and CSV formats used by urban commercial bank financial reports, and verification that the upload configuration covers the corresponding types.
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.