What the data for this category looks like
Intelligent due diligence data for the apparel and home textile sector comes from brand supply chain archives, fabric quality inspection reports, offline store monthly sales ledgers, and e-commerce platform SKU archive files. Update cadence adjusts with business nodes: new batch fabric reports update with production cycles, and sales ledgers update monthly. Most documents are PDF-format inspection reports, Excel-format SKU lists, and Word-format due diligence summary documents. Their structures include fields such as batch number, fabric parameters, supplier information, inventory data, and compliance inspection items. Units include meters, grams, pieces, grade identifiers, and similar.
What constraints do these characteristics impose on the "document parsing and chunking" link?
Multi-batch supply chain data leads to wide variation in single-document length. Long documents may exceed basic parsing thresholds and trigger parsing interruptions. Excel-format SKU lists often have merged cells and hidden columns, which can cause loss of field information during parsing. Fabric inspection reports contain technical terms such as yarn count and gram weight. Continuous semantic blocks must be retained to avoid semantic fragmentation after splitting. Document formats from different sources are inconsistent, so multiple parsing rules need to be adapted. At the same time, the association between batch numbers and corresponding parameters must be retained during chunking to prevent cross-batch data confusion.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Apparel and home textile due diligence documents are mostly combined files of single-batch inspection reports and SKU lists, and single files typically do not exceed 500 MB |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Long documents take longer to parse; setting 120 seconds avoids parsing interruptions due to timeout |
maxChunkSize | 800–1200 characters | Fabric parameters and supplier information need to be used as continuous semantic blocks; this range avoids splitting technical terms and associated fields |
chunkOverlap | 100–150 characters | Retain batch number associations across chunks to prevent loss of contextual association information after chunking |
enableMergeCells | enabled | Adapt to merged cells in Excel SKU lists and fully retain field content |
filterEmptyChunk | enabled | Filter blank inspection item notes in documents to reduce invalid chunks |
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
- Phenomenon: After uploading a digitally signed PDF fabric inspection report, the parsing result is empty or valid content cannot be identified. Cause: Digital signatures trigger security checks for document parsing, and parsing fails because the required permissions are not enabled.
- Phenomenon: When calling the Doc2x tool in FastGPT V4.9.1, a file read error is returned, and the log displays an error message of the type
Only support .txt, .m. Cause: The uploaded document format is not compatible; apparel and home textile due diligence documents often include encrypted Excel or non-standard PDF formats that have not been converted to standard formats in advance. - Phenomenon: A knowledge base reading link is returned via the API, and an error is displayed when the page is clicked. Cause: The parsed document failed to correctly generate accessible static content, or the link becomes invalid because parsing was not completed within the timeout period.
How to confirm the configuration is correct
- Upload a single typical fabric inspection report and check whether the professional parameters in the parsing result are fully retained.
- Upload a digitally signed document and verify that the parsing process does not trigger security interception and that text content can be extracted normally.
- View the parsed chunk data and confirm that the field content of merged cells is not omitted.
- Call the parsing interface and verify that the returned chunk data includes the association between batch numbers and corresponding parameters.
- Verify that image-based inspection report content in the parsed document is correctly associated with chunk data.
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.