What the data for this category looks like
Textile manufacturing investment research data comes from production workshop daily reports, supply chain material BOM ledgers, raw material performance test reports, industry process standard documents, and order fulfillment records. Data update cycles cover daily, monthly, and irregular intervals. Production daily reports update daily. Monthly capacity reports are compiled each month. Industry standards and research reports are released irregularly alongside policy and raw material price fluctuations. Document structures primarily include nested tables, long-form process descriptions, and charts with professional units. Core fields include yarn count, fabric weight, width, batch number, and order number. Corresponding units are count, g/㎡, cm, and similar units.
Constraints on Document Parsing and Chunking
Textile manufacturing data characteristics create multiple constraints for the parsing and chunking workflow. Nested BOM tables and cross-row/column capacity ledgers require parsing tools to preserve table hierarchy. Losing this hierarchy will break material association information. Fields with professional units such as yarn count and fabric weight will become unusable for subsequent investment research if their unit associations are lost during parsing. Daily updated production daily reports require stable parsing workflows to avoid duplicate or missed chunks caused by format variations. Long-form process documents must be chunked by chapter logic, not fixed length, to prevent interrupting the integrity of professional process steps.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
TABLE_PARSE_MODE | Nested table parsing | Adapts to multi-level BOM tables common in textile manufacturing documents, preserves material hierarchy relationships |
CHUNK_SIZE | 800–1200 characters | Matches the typical single-section length of textile manufacturing process descriptions and order ledgers, avoids truncating professional fields |
CHUNK_OVERLAP | 100–150 characters | Retains cross-chunk process step context, prevents content gaps during retrieval |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Adapts to parsing times for large production reports and supply chain ledgers, avoids timeout failures |
USE_MINERU_PARSER | Enabled | Adapts to complex-format textile manufacturing PDF documents, improves parsing accuracy for professional fields |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets upload requirements for large supply chain ledger documents |
The parameter values listed on this page are standard recommended starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Mistakes
- Scenario: A docx document fails parsing after upload, with logs returning "unsupported format". Cause: Parsing adaptation for textile manufacturing custom docx styles is not enabled. Default parsing rules cannot recognize table title prefixes with production workshop identifiers.
- Scenario: Only the first 3 columns of an uploaded capacity ledger table are parsed, with remaining fields empty. Cause: An older table parsing mode is used, and nested table parsing configuration is not enabled. This results in loss of cross-row/column professional table data for textile manufacturing.
- Scenario: After enabling PDF-Marker parsing, the container reports a "CUDA out of memory" error, and GPU status shows not enabled. Cause: GPU devices are not mounted in the docker startup command, and the PDF-Marker image version matching the host graphics card driver is not specified. This causes insufficient video memory during parsing.
How to Confirm Proper Configuration
- Upload a typical textile manufacturing BOM table docx document. Confirm that the parsed table retains hierarchy relationships, and verify that core fields such as material code, yarn count, and fabric weight are complete.
- Access the knowledge base configuration page. Confirm that the
USE_MINERU_PARSERswitch is enabled, and that the image version matches the host graphics card driver version. - Test chunking results. Randomly sample a section of process document. Confirm that chunks do not truncate professional process steps, and that adjacent chunks have overlapping context.
- Upload a single large production report with a volume not exceeding 1000 MB. Confirm that the upload and parsing workflow does not trigger 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.