What the Data for This Category Looks Like
Data sources for apparel and home textile investment research include Chinese Textile Industry Association public reports, listed home textile brand quarterly financial reports, bulk commodity raw material trading platforms, cross-border e-commerce sales data, and professional textile exhibition materials. Update frequencies vary: industry trend research reports are released quarterly, raw material prices and e-commerce sales data are updated daily, and brand operation interview records are updated irregularly. Document types include long-form research reports, structured supply chain data tables, brand revenue reports, fabric swatch scans, and exhibition promotional materials. Common fields include product specifications, raw material types, shipment volumes, and sales unit prices. Some documents include specialized terminology and unit identifiers.
Constraints on Document Parsing and Chunking
The characteristics of apparel and home textile documents impose multiple constraints on parsing and chunking:
- Structured tables account for a large share. The association between table headers and row data must be preserved to avoid loss of business logic after chunking.
- Long-form research reports and scattered information are mixed. Chunking must follow chapters or themes, not forced truncation by fixed length.
- Some documents are embedded in image format, such as fabric swatches. Text extraction via OCR must be supported.
- There are many specialized terms and unit identifiers. Chunking must avoid breaking terms or losing units.
- Real-time updated raw material data must retain timestamp fields. This ensures that retrieved chunks can be aggregated by time dimension.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Apparel and home textile industry research reports often include PDF documents with over 100 pages, so sufficient time is needed for full parsing |
maxChunkSize | 800–1200 characters | Balances chapter integrity of long-form research reports and field association of structured tables, avoids overly fragmented chunks or broken logic |
ENABLE_TABLE_PARSE | Enabled | Apparel and home textile documents include a large number of structured tables for supply chain shipments and brand revenue, retaining table structure prevents loss of data associations |
OCR_ENABLED | Triggered by document type | Some fabric swatches and exhibition brochures are embedded in documents as image formats, so OCR must be enabled for non-pure text documents |
CHUNK_OVERLAP_RATE | 10–15% | Overlapping content must be retained at chapter junctions of long-form research reports to ensure coherent contextual semantics |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports upload and parsing needs for large industry material packages and multi-document collections |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on samples specific to the deployment before finalizing.
Three Common Mistakes
- Phenomenon: After enabling document enhanced parsing in version v4.9.0, the parsing results show a large number of garbled characters or missing structured table content. Cause: The parsing plugin configuration for the new version is not adapted, and compatibility issues arise from incorrectly using low-version third-party parsing tools such as v1 marker.
- Phenomenon: File parsing interface calls take too long, exceeding business expectations. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default timeout setting cannot cover the parsing needs of large industry research reports. - Phenomenon: A large number of unrelated scattered text blocks appear in the knowledge base, which cannot be used for investment research retrieval. Cause: Reasonable
maxChunkSizeandCHUNK_OVERLAP_RATEare not set, and the chunking logic damages the chapter and table association structure of apparel and home textile documents.
How to Verify Proper Configuration
- Upload a typical apparel and home textile industry research report PDF. Check if the parsed text retains chapter titles and paragraph logic.
- Upload an Excel document containing structured tables. Check if the parsing result fully retains the correspondence between table headers and row data.
- Call the parsing interface. Check if the returned chunked content includes document timestamps and unit information such as fabric specifications and price identifiers.
- Verify that large-volume documents (such as material packages within 500 MB) can complete parsing normally without timeout errors.
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.