What the data for this category looks like
Data sources include brand supply chain documents, industry trend reports published by industry associations, sales monitoring data from cross-border e-commerce platforms, and customs import and export statistical documents. Update frequency follows quarterly industry report updates, monthly sales data updates, and new SKU document additions when new products launch. Document types include PDF supply chain compliance files, Excel SKU parameter tables, and structured export files from e-commerce product detail pages. Fields include last dimensions (unit: millimeter/centimeter), upper material composition, sole wear resistance test count, item number, cross-border customs HS code, terminal selling price range, and others. Some documents contain nested tables and repeated page headers.
What constraints do these characteristics impose on document parsing and chunking?
Nested tables and documents with repeated page headers cause general parsing tools to fail to correctly merge cell content. Adjust the parsing engine’s table recognition parameters to adapt. When uploading mixed document types, use adapted parsing logic to avoid mistakenly processing Excel SKU tables with the PDF parsing workflow. For precise extraction of structured fields such as SKU item numbers and HS codes, retain metadata tags before chunking to avoid losing classification association information after chunking. For batch processing of frequently updated documents, set reasonable concurrency and timeout parameters to avoid parsing task backlogs. When splitting long text chapters in some documents, avoid destroying the integrity of key fields such as material composition and test data.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
parse_engine | Use mineru as the default parsing engine | Adapts to the nested table and multi-page header recognition requirements of footwear documents, and improves the accuracy of structured data extraction |
chunk_size | 800–1200 characters | Balances chunking integrity between long-text compliance reports and short-text SKU parameters in footwear documents, and prevents key fields from being split |
chunk_overlap | 100–150 characters | Retains context for cross-chunk associated fields such as SKU item numbers and HS codes, and avoids losing association information after chunking |
enable_table_struct | Enabled | Preserves cell hierarchy for nested SKU tables in footwear documents, and prevents data misalignment |
parse_timeout | 600 seconds | Adapts to the parsing duration of large batch supply chain PDF documents, and avoids timeout failures |
batch_parse_concurrency | 10–20 tasks per batch | Controls resource usage during batch parsing, and adapts to locally deployed hardware configurations |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Enabling "Enhanced PDF Parsing" fails to trigger MinerU parsing, and the interface returns a
502 Bad Gatewayerror. Cause: The FastGPT MinerU parsing address is not configured correctly, or the local MinerU container port is not exposed to the network where FastGPT is located. - Symptom: Parsed table data only retains single rows and columns, and nested header content is lost. Cause: The
enable_table_structconfiguration is not enabled, or the parsing engine does not adapt to nested table recognition logic. - Symptom: SKU item number fields are empty after chunking, and corresponding product data cannot be associated. Cause: The
chunk_overlapparameter is set too small, causing key fields to be split outside the chunk, or metadata retention configuration is not enabled.
How to Verify Proper Configuration
- Run a curl command to check the API port of the local MinerU container, and confirm that a normal parsing response format is returned.
- Upload a footwear SKU document containing nested tables, and check whether the parsed table retains a complete hierarchical structure.
- View the knowledge base parsing logs to confirm that the
parse_engineparameter is set tomineru, and no timeout-related errors are present. - Perform multiple chunking tests on the same document, and confirm that key fields such as SKU item numbers and HS codes are not split or lost.
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.