What this type of data looks like
Data mainly comes from daily transaction ledgers of steel traders, steel mill outbound settlement documents, credit tracking documents from partner banks, and internal reconciliation correspondence. The update rhythm is daily, with each document covering all transaction and financing data for the day. Documents primarily use structured tables, with a small number of transaction notes attached. Core fields include trader entity name, steel product category, shipment weight (unit: ton), settlement unit price (unit: yuan/ton), daily financing application amount, approved credit balance, and more.
What constraints do these characteristics impose on the "document parsing and chunking" link
Although each daily updated document has a manageable length, core data is distributed in structured tables, and some entries are cross-page or cross-paragraph related. The parsing link must accurately identify fields and corresponding values within tables, and avoid breaking field associations during chunking. At the same time, there are minor format differences among documents imported in batches daily, such as adjusted header order, added or removed note fields. The chunking logic must adapt to non-strictly standardized table structures, and avoid splitting financing information and transaction data of the same transaction into different chunks. Some documents include cross-page cumulative financing summary data, and the chunking process must retain the contextual association between summary information and detailed data.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Adapts to the total length of a single transaction plus corresponding financing information, avoiding splitting the same business-related data |
chunkOverlap | 100–150 characters | Retains context of the same transaction in adjacent chunks, preventing cross-chunk field loss |
parseTableMode | "Preserve table structure" mode | Adapts to the structured table main body of steel trade daily reports, preventing tables from being split into scattered text |
PARSE_FILE_TIMEOUT_SECONDS | 60 seconds | Addresses multi-document parsing pressure during batch imports, avoiding timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 50 MB | Adapts to the common size of single batch daily report documents, avoiding upload restrictions |
splitByTable | Enabled | Performs initial chunking by table, then adjusts based on content length to ensure complete business entries |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: The number of chunks after parsing exceeds 3000, triggering an index limit error. Cause: Chunking by table was not enabled, and the full table text of a single daily report was split into too many scattered chunks.
- Symptom: An error occurs when parsing CSV-format daily reports after upgrading the version, with status code 422 returned. Cause: The CSV delimiter parameter automatically adapted in the old version was not retained, and the default delimiter after the upgrade does not match the delimiter actually used by the document.
- Symptom: The corresponding value of the "credit balance" field is missing from the parsed chunks. Cause: The table structure was not retained during chunking, and the header and corresponding value were split into different chunks.
How to confirm the configuration is correct
- Upload a single test steel trade financing daily report document, check whether the table in the parsing preview retains its complete structure without scattered text splitting.
- View the parsed chunk list, count the number of chunks for a single document, and confirm it does not exceed the preset index limit threshold.
- Randomly select 3-5 business entries, check whether the chunked content includes both transaction data and corresponding financing related information.
- Upload the same test document after upgrading the version, compare the parsing result with that before the upgrade, and confirm that the configuration parameters have not been reset.
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.