Deployment and Upgrade for Apparel and Home Textile Intelligent Due Diligence Reports

Apparel and home textile intelligent due diligence data primarily comes from brand SKU ledgers, fabric batch quality inspection reports, offline store

What the Data for This Category Looks Like

Apparel and home textile intelligent due diligence data primarily comes from brand SKU ledgers, fabric batch quality inspection reports, offline store sales ledgers, e-commerce platform user reviews, and third-party compliance testing institution reports. Data update cadence shifts with industry cycles: SKU basic information is updated quarterly, batch quality inspection reports are synced with production batches, and sales and sentiment data is updated daily. Document structures include structured fields and unstructured attachments. Structured fields cover style number, fabric composition, gram weight, flame retardant rating, and similar items, with units mostly following industry standard formats such as g/㎡, B1/B2 grades. Unstructured attachments are mostly high-resolution scanned quality inspection reports and product detail page images.

Constraints Imposed on Deployment and Upgrade

Since the data includes multi-format structured and unstructured content, deployment must adapt to parsing configurations for multiple file types to avoid parsing timeouts for long documents or large scanned files. The high-frequency updates of SKU and sales data require upgrade processes to support incremental sync interfaces, reducing resource consumption caused by full re-runs. Specific units and enumeration value rules for fields require configuring field validation logic during deployment, preventing deviations in due diligence results caused by mismatched data formats. Permission control requirements for internal brand data require planning SSO integration configuration items in advance, avoiding subsequent permission vulnerabilities.

How to Configure the Settings

Config ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS600 secondsApparel and home textile due diligence data includes multi-page high-definition quality inspection PDFs, requiring sufficient parsing time
UPLOAD_FILE_MAX_SIZE1000 MBBatch quality inspection report files for supply chain traceability have large file sizes, requiring relaxed upload limits
maxContext8000–12000 charactersSingle SKU due diligence document includes multiple fields such as fabric composition and sales data, requiring adaptation for long-context parsing
Recall CountTop 10 entriesApparel and home textile SKU categories have a large number of items, limiting the recall scope to improve response speed
Reranked Return CountTop 3 entriesDue diligence reports require precise matching of core compliance and supply chain data, reducing redundant returns
SSO_ENABLEDEnabledInternal brand data requires unified permission control, integrating enterprise-level authentication systems

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 Configuration Errors

  • Phenomenon: After local deployment, attempting to connect to SSO fails to redirect to the enterprise authentication page, with a prompt indicating missing authentication parameters. Cause: Environment variables for SSO_CLIENT_ID and SSO_CLIENT_SECRET were not configured, causing the system to fail to recognize the enterprise authentication interface.
  • Phenomenon: Apparel and home textile quality inspection report images embedded in the knowledge base display as broken links and cannot load normally. Cause: The reverse proxy path for static files was not configured during deployment, preventing locally stored scanned documents from being publicly accessible.
  • Phenomenon: After offline upgrade, executing a knowledge base query only returns raw field content, without organizing and outputting due diligence data. Cause: The vector database field mapping configuration was not resynced after upgrade, causing the context format to not match the model requirements.

How to Verify Proper Configuration

  • Upload an apparel and home textile quality inspection report PDF, and verify that specified fields including fabric composition and gram weight are correctly extracted after parsing.
  • Call the SSO authentication interface, and confirm that redirection to the enterprise login page and completion of the authorization process work normally.
  • Execute a knowledge base recall test, and confirm that the number of returned SKU data entries and reranked results fall within the configured value range.
  • After offline upgrade, execute the vector database sync command, and check that the sync log contains no field format errors or parsing failure prompts.

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.