What the data for this category looks like
Data sources include public reports from domestic textile and apparel industry associations, special research reports from brokerage firms’ textile and apparel teams, public quarterly financial reports of leading brands, and supply chain disclosure documents. Update cycles vary: Brokerage research reports are released quarterly, semi-annually, and annually. Industry association data is updated monthly. Financial reports are disclosed quarterly. Most documents are in PDF format. Structures include overall industry reviews, production and sales data for segmented categories, raw material cost trends, and operating updates of leading enterprises. Fields include terminal retail sales, per-store sales per square meter, raw material purchase unit prices, and inventory turnover days. Corresponding units are billion yuan, yuan per square meter, yuan per meter, and days.
What constraints these characteristics impose on model access and configuration
The multi-format embedded tables, diverse field units, and differentiated update cycles of textile and home textile research reports create multiple constraints for model access and configuration. The mixed structure of embedded tables and long text paragraphs requires configuring a multi-format document parsing module to prevent loss of table data. Differences in update frequencies across data sources require configuring scheduled pull rules grouped by source, to match the monthly update cycle of industry association data and quarterly release cycles of brokerage research reports. Diverse field units require clear unified parsing standards in the model prompt, to avoid unit identification errors. Long supply chain detail tables increase context pressure, requiring limiting the segment threshold for single-document parsing.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Most textile and home textile research reports include multi-page charts and detail tables, with individual document sizes typically ranging from 200–400 MB. This setting reserves reasonable buffer |
maxContext | 8000–12000 characters | Segmented research reports must retain complete contextual logic to avoid breaks in industry-related reasoning |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Long document parsing requires processing embedded tables and image OCR, which takes longer than general document parsing |
Segment Length | 1500–2000 characters | Segmented category paragraphs in textile and home textile research reports typically exceed 1200 characters. This avoids splitting that breaks data relevance |
Similarity Threshold | 0.72–0.8 | Research report data fields have strong relevance. This setting filters low-match irrelevant documents while retaining segmented data for the same category |
Function Call Trigger Threshold | 0.85 | This ensures precise triggering of data extraction actions, avoiding false triggers or missed extraction of key fields |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: When uploading multiple textile and home textile research reports in batch, the first 10–15 reports parse normally, but subsequent documents fail to parse or have empty fields. Cause: The
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSparameters were not adjusted, and batch requests trigger platform rate limits or exceed timeout thresholds. - Symptom: When calling the model, embedded JPG industry data charts in research reports cannot be parsed directly, and the returned results lack data corresponding to the charts. Cause: The OCR configuration of the document parsing module was not enabled, and trigger rules for image parsing were not specified.
- Symptom: When configuring function calls to extract research report fields, the model does not return structured data as required, and extraction accuracy is low. Cause: The
Function Call Trigger Thresholdwas not set, or the prompt did not clearly specify the field format requirements for textile and home textile research reports, leading to disorganized model invocation logic.
How to Confirm Proper Configuration
- Upload a single typical textile and home textile research report, check that the parsed text includes complete segmented category data fields, and adjust
Segment Lengthuntil no critical content is split or broken. - Initiate a batch upload task for 10 or more documents, check that all documents have a successful parsing status, and adjust
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSuntil no timeout or failure records appear. - Initiate a function call test, input a research report snippet, check that the model returns structured data in the specified format as required, and adjust
Function Call Trigger Thresholduntil extraction accuracy meets expectations. - Test research report data from different sources, check that field units are identified uniformly, and adjust parsing rules in the prompt until no unit confusion issues occur.
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.