What the Data for This Category Looks Like
Tax-free financing daily report data primarily comes from daily financing ledgers of tax-free business entities, bank financing approval receipts, and inter-bank financing statements. Update frequency is daily; some summary documents are delivered T+1. Document formats are primarily multi-sheet Excel and structured PDF, with fields including financing entity name, tax-free commodity filing code, financing amount, arrival date, financing interest rate, repayment term, and others. Units are mostly CNY and natural days; some documents include foreign currency converted amounts, priced at the daily exchange rate benchmark.
Constraints on Document Parsing and Chunking
The multi-sheet document structure requires parsing tools to support cross-sheet data association, to avoid losing field associations between different sheets after chunking. The presence of exclusive fields such as tax-free commodity filing codes requires retaining contextual associations between fields during chunking, to avoid breaking core business information after splitting. The daily update frequency requires the parsing process to have high efficiency, with single-file parsing duration needing to be controlled. The diversity of structured fields requires parsing tools to accurately identify header rows, to avoid invalid field correspondence caused by incorrect header identification. Cross-document summary data requires retaining time-dimensional associations of data during chunking, to ensure that business requirements can be matched by date dimension during retrieval.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_MULTIPLE_SHEETS | Enabled | Tax-free financing daily reports mostly contain multi-sheet ledgers and detailed data, requiring full parsing of all sheet content |
CHUNK_SIZE | 800–1000 characters | Single financing records have many associated fields, to avoid losing contextual associations after splitting |
PARSE_EXCEL_HEADER_ROW | Row 2 | Most tax-free financing daily reports have template descriptions in the first row, with the second row containing official business fields |
MAX_PARSE_TIMEOUT | 120 seconds | Daily full-volume tax-free financing daily report data has a large volume, requiring sufficient parsing time to be reserved |
ENABLE_FIELD_ASSOCIATION | Enabled | Tax-free financing daily reports include associated fields such as tax-free commodity codes and financing entities, requiring retention of contextual associations between fields |
UPLOAD_FILE_MAX_SIZE | 500 MB | Monthly summary tax-free financing daily report files imported in bulk usually do not exceed this threshold |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, 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
- Issue: After importing an Excel-format tax-free financing daily report, the field correspondence in the knowledge base fails, and associated fields cannot be matched during retrieval. Cause: The
PARSE_EXCEL_HEADER_ROWparameter is not configured, and non-standard header rows are incorrectly identified. - Issue: The knowledge base displays complete table content, but table fragments are not output when generating responses. Cause: The
PARSE_TABLE_OUTPUTparameter is not enabled, or the complete structure of the table is truncated during chunking. - Issue: After chunking using a local vector model and uploading to the platform, the matching accuracy of chunked content for tax-free financing daily reports decreases when using different vector models for retrieval. Cause: The platform's unified chunking logic is not used, and the chunking granularity and vector encoding logic differ between models.
How to Verify Proper Configuration
- Upload a single standard tax-free financing daily report file, enter the dataset parsing preview page, and verify whether the parsed fields match the actual business fields.
- Generate a test query that includes table content, and check whether table fragments are fully output in the response without truncation or omission.
- Enter a search query that includes tax-free commodity filing codes and financing amounts, and check whether the ranking of recall results meets business priority requirements.
- Upload the same file to both local and platform environments, compare the chunked text content, and confirm that the chunking granularity matches the platform's unified logic.
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.