Document Parsing and Chunking for Joint-Stock Bank Financing Daily Reports

Joint-stock bank financing daily report data originates from the bank’s corporate credit ledgers, interbank borrowing trading systems, and regulatory

What Data for This Category Looks Like

Joint-stock bank financing daily report data originates from the bank’s corporate credit ledgers, interbank borrowing trading systems, and regulatory reporting interfaces. It is updated daily on a T+1 basis. Most documents are multi-sheet Excel files. The main sheet includes fields such as customer name, approved credit amount, daily financing received amount, financing cost, and due repayment date. Auxiliary sheets include interbank borrowing quotes and internal credit approval process node records. Field units are mostly ten thousand yuan and basis points (BP).

Constraints on Document Parsing and Chunking

Multi-sheet Excel structures require parsing components to support cross-sheet data extraction, to avoid missing interbank quotes and approval records in auxiliary sheets. The daily T+1 update rhythm requires matching the trigger cycle of scheduled parsing tasks, to ensure data timeliness and accuracy. Nested multiple tables and differentiated field units require retaining original table formats during chunking, to avoid semantic breaks caused by cross-cell content splitting. Single file sizes may be large. When the number of chunks is high, adjust chunking parameters to avoid subsequent vectorization errors caused by chunks that are too long or too fragmented.

Configuration Settings

Configuration ItemRecommended ValueRationale
PARSE_EXCEL_MULTIPLE_SHEETEnabledThe financing daily report includes main and auxiliary sheets, all table content must be fully extracted
CHUNK_SIZE800–1200 charactersEach single chunk covers a complete customer financing information unit, to avoid semantic breaks
CHUNK_OVERLAP100–150 charactersRetain contextual association between adjacent chunks, to avoid loss of cross-chunk information
UPLOAD_FILE_MAX_SIZE1000 MBAdapt to potential large single file sizes, to avoid upload and parsing interruptions
PARSE_TABLE_MERGEEnabledMerge cell content of nested tables, retain the correspondence between fields and units
PARSE_FILE_TIMEOUT_SECONDS600 secondsLarge files take longer to parse, avoid interrupting the parsing process due to timeout

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 targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

  • Phenomenon: After parsing a single file, more than 1000 chunks are generated, and some chunks report 400 Bad Request errors during vectorization. Cause: Chunking parameters are set too small, leading to an excessive number of chunks that exceed the single-processing limit of the vectorization service.
  • Phenomenon: Table fields are missing after parsing, such as the unit of financing cost not being retained. Cause: The PARSE_TABLE_MERGE configuration is not enabled, causing cell content of nested tables to be split, breaking the association between fields and units.
  • Phenomenon: Vectorization exceptions still occur after retrying uploads of large files. Cause: CHUNK_SIZE and CHUNK_OVERLAP parameters are not adjusted, and the chunking logic does not meet the semantic integrity requirements for large-volume files.

How to Confirm Correct Configuration

  • Upload a single test financing daily report Excel file, view the parsed chunk list, confirm that content from all sheets has been extracted.
  • Randomly select several chunks, check that table fields and units are fully retained, with no cross-cell splitting.
  • Trigger a vectorization task, view the task running logs, confirm there are no vectorization-related error records.
  • Configure a scheduled parsing task that matches the T+1 update rhythm, wait for a complete update cycle, and verify that the document data in the knowledge base is the latest version.

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.