What this category’s data looks like
White goods marketing content data in marketing scenarios primarily comes from official product specifications of partner brands, structured parameter pages from e-commerce platforms, after-sales maintenance manuals, and official brand marketing materials. The update rhythm adjusts with new product launches. Update frequency is higher during periods with intensive new product launches, and follows a quarterly or annual schedule during regular periods. The data includes two main categories: structured parameters and unstructured marketing copy. The structured section uses model, capacity, power, and energy efficiency rating as core fields, paired with standard units such as liters, watts, and kilograms. The unstructured section includes content such as product selling points and usage scenario descriptions.
What constraints these characteristics impose on deployment and upgrade
The large number of structured parameter fields with fixed units requires configuring field mapping rules for structured documents during deployment, to prevent parsed field confusion. The fluctuating update rhythm tied to new product launches requires the upgrade process to support bulk knowledge base updates and version rollbacks, to adapt to sudden content update requirements. The mix of structured and unstructured document content requires configuring differentiated parsing parameters for different document types during deployment, to accommodate table parsing and general text parsing respectively. The update of parameters such as energy efficiency ratings alongside national standards requires synchronously adjusting parameter verification logic during upgrades, to ensure newly uploaded documents comply with the latest standards.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | White goods marketing content contains a large number of structured parameter tables. Enabling this allows accurate extraction of fields and units |
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | A complete single product manual includes multi-page tables and text, requiring sufficient time to complete full parsing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Bulk uploaded marketing material collections or multi-model manual files have large sizes, adapting to bulk deployment needs |
Segment Length | 800-1200 characters | Balances contextual coherence for long paragraph usage instructions and short selling point copy, avoiding overly fragmented or overly long splits |
Recall Count | Top 6-8 results | Single user inquiries typically focus on 1-2 home appliance products, a small number of recalls can cover core reference information |
Similarity Threshold | 0.75-0.85 | Home appliance parameters have high similarity, this range filters irrelevant content and retains product information with high matching degrees |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After upgrading a private deployment version, clicking the file details of the knowledge base displays
Invalid dataset file key. Cause: The associated key configuration of the dataset file was not updated synchronously during the upgrade process, and the old version key is incompatible with the new system. - Symptom: After deploying the non-commercial version, it is not possible to configure API key usage duration and call frequency limits. Cause: The system configuration related to key management is not enabled, or the configuration parameters were not correctly loaded into the runtime environment.
- Symptom: When uploading large product manual files, the parsing task times out and fails. Cause: The configured value of
PARSE_FILE_TIMEOUT_SECONDSis too low, failing to adapt to the parsing time requirements of long documents.
How to confirm the configuration is complete
- Upload a standard white goods product manual, check whether the parsed fields fully extract core parameters such as model, capacity, and power.
- Trigger a bulk knowledge base update task, confirm that all uploaded documents have completed parsing and been synchronized to the knowledge base.
- After configuring the API key, test whether the key's usage duration and call frequency limits take effect according to the preset rules.
- Initiate a retrieval request for home appliance products, check whether the recalled content matching degree conforms to the preset retrieval rules.
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.