What the data for this category looks like
Home goods smart due diligence report data primarily comes from internal enterprise ERP SKU profiles, third-party quality inspection agency compliance test reports, light manufacturing industry standard databases, and public product details from e-commerce platforms. Data update cadence falls into three categories: new SKU profiles are synced monthly, compliance test results are updated every six months, and supplier qualifications are reviewed annually.
Document structure uses a single SKU as the unit, with fields including product identifier, material type, safety certification number, production batch, compliance test items, test conclusion, and storage environment requirements. The test conclusion field uses enumerated values. The storage requirements field uses temperature and air pressure as units.
What constraints these characteristics impose on deployment and upgrade
Multi-SKU bulk data, long-text compliance test reports, and enumerated test conclusion fields for the home goods category impose three types of constraints on the deployment and upgrade process. First, compliance test reports for single SKUs are mostly long-text PDFs. Bulk import consumes significant vector database storage and parsing compute power. Sufficient resource pools must be reserved during deployment. Second, enumerated fields for compliance test items require fixed mapping. If new industry standards are added during version upgrades, field mapping configurations must be updated synchronously. Existing rules cannot be overwritten directly. Third, historical SKU data formats must be compatible. Old field parsing logic must be retained during upgrades to prevent failure of existing due diligence report generation. Exclusive permissions must be configured for third-party quality inspection API access to avoid unauthorized data access.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single home goods compliance test PDF typically has a long parsing duration. This avoids task interruption due to timeout mid-process |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Bulk-imported single long-text quality inspection reports typically do not exceed this size threshold |
RECALL_TOP_N | Top 8–12 entries | Compliance data associated with home goods SKUs has a moderate volume. This value balances recall accuracy and compute consumption |
SIMILARITY_THRESHOLD | 0.78–0.82 | Filters low-correlation non-target SKU data, retains strongly correlated compliance test results |
maxContext | 10000 characters | Sufficient context must be retained to fully parse single long-text compliance reports, avoiding information truncation |
EMBEDDING_BATCH_SIZE | 24 | Balances single-batch compute usage and overall processing speed when handling SKU data in bulk |
The parameter values provided on this page are common recommended 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 values.
Three Common Mistakes
- Issue: An interface error with a 403 status code occurs after local deployment connects to WeChat Work. Cause: No trusted domain whitelist was configured for WeChat Work, and the officially recommended intranet penetration method was not used. Requests are blocked.
- Issue: Existing SKU data parsing fails, and fields are empty, after upgrading to version 4.9.13. Cause: The upgrade script included with version 4.9.11 was not executed. Migration from the old field format to the new version was not completed.
- Issue: FastGPT cannot access Ollama after deployment. Logs show a connection timeout. Cause: The network mode in the docker-compose configuration was not modified, or corresponding ports were not opened. FastGPT cannot access the local Ollama service.
How to Confirm Configuration Is Complete
- Upload a home goods quality inspection report PDF. Check if the parsing progress bar completes within the preset timeout period, with no interruption errors.
- Bulk import profile data for 10 SKUs. Verify that vector database storage usage matches the reserved resource pool expectations.
- Submit a smart due diligence report generation request. Confirm that returned results include preset fields such as compliance test items and storage requirements.
- View FastGPT system logs. Confirm that all third-party quality inspection API call requests return normal status codes, with no permission 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.