What the data for this category looks like
Data for this category mainly comes from daily loan ledgers of financial leasing companies and daily export files for specialized bank financing for construction machinery. Updates occur once per day. Most documents are in Excel format, with structured fields including equipment model, equipment serial number, financing subject, loan amount (unit: 10,000 yuan), loan date, repayment cycle, and guarantor. Some supporting Word format approval remark documents are also available; these remarks are mostly single-page or multi-page text descriptions.
What constraints do these characteristics impose on document parsing and chunking
Daily updated Excel files often contain tens of thousands of rows. Default chunking rules merge too many rows of content. This leads to overly coarse single-chunk data granularity, which reduces the accuracy of subsequent RAG classification matching. Fields such as equipment model and serial number are core for precise retrieval. Chunking must retain the binding relationship between fields and corresponding financing information. Improper splitting will lose associated logic. Word format approval remark documents have long text paragraphs. Default chunking may split the connection between approval conclusions and corresponding equipment. This causes retrieval results that cannot match complete business logic. Additionally, the header format of daily report documents is fixed but occasionally adjusted slightly. Parsing must adapt to non-rigid field recognition rules to avoid parsing misalignment.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Adapt to the text length of a single complete financing record, avoid splitting core information chunks containing equipment model and loan amount |
chunkOverlap | 150–200 characters | Retain key field associations across segments, prevent the binding relationship between equipment information and financing subjects from breaking |
PARSE_EXCEL_USE_HEADER | Enabled | Adapt to the fixed header format of daily report Excel files, ensure correct field identification during parsing and avoid data misalignment |
PARSE_EXCEL_MAX_ROWS_PER_CHUNK | 10–15 rows | Control the number of financing records per single chunk, avoid single chunk data being too long beyond vector model input limits |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapt to the size of single-day summary files containing multiple device ledgers, prevent upload interruptions |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Meet parsing time requirements for Excel files with more than 100,000 rows, avoid premature parsing termination |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing the settings.
Three common mistakes
- Phenomenon: After uploading an Excel file with more than 10,000 rows, an error occurs during vector generation stating "text length exceeds model support limit". Cause: The
PARSE_EXCEL_MAX_ROWS_PER_CHUNKparameter is not configured, and the default rule merges too many rows of data, resulting in overly long single chunk text. - Phenomenon: Misaligned content where equipment model does not match loan amount appears in retrieval results. Cause:
PARSE_EXCEL_USE_HEADERis not enabled, and fields are not correctly identified during parsing, leading to splitting of cross-field associated information during chunking. - Phenomenon: Retrieval results of long-text Word approval documents cannot associate equipment information with approval conclusions. Cause: The
maxChunkSizeandchunkOverlapparameters are not adjusted, and the default chunk length is too short, splitting complete approval logic paragraphs.
How to confirm the configuration is correctly set
- Upload a single test Excel file with more than 10,000 rows, view the parsed chunk list, confirm that the number of rows contained in each chunk matches the preset range.
- Randomly select a financing record, retrieve the corresponding equipment model, confirm that the financing information of this equipment in the retrieval results is complete and has no field misalignment.
- Upload a single Word approval document with more than 50,000 characters, view the chunked text fragments, confirm that adjacent chunks have overlapping key fields and no semantic splitting.
- View the parsing log, confirm that there are no errors such as "file parsing timeout" or "text too long", and that the actual values of the configuration items match the preset values.
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.