What the data for this category looks like
Data for small home appliance intelligent due diligence reports comes primarily from brand official parameter documents, e-commerce platform product detail pages, national energy efficiency test reports, and third-party quality inspection certification documents. Data update cycles are triggered irregularly alongside new product launches. Regular parameter revisions are updated every 6 months to 1 year. Each individual due diligence document is based on a single product within a single category. Its structure includes basic attribute fields: product model, rated power, rated voltage, net weight, applicable ambient temperature range, and certification number. Field units use international standard measurement symbols such as W, V, kg, and ℃.
What constraints these characteristics impose on deployment and upgrade
Multi-source, heterogeneous data sources for small home appliances require configuring concurrent control parameters for multi-source data pulling during deployment. This prevents triggering rate limits when pulling multiple platform interfaces simultaneously. Each due diligence document is tied to a single device, but overall data volume is large. Adjust the batch parsing timeout threshold during deployment to avoid parsing task interruptions. Fields vary significantly across different small home appliance categories. When upgrading the knowledge base, retain a configurable entry for custom field mapping. This avoids forcibly overwriting existing field rules. Energy efficiency related data requires regular synchronization of the latest certification information. Reserve a path for offline updates to the certification library during upgrades.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single small home appliance due diligence document contains multiple sets of parameters, which takes a long time to parse. 600 seconds covers parsing for most single product documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Small home appliance due diligence documents are mostly single product parameter collections, with small individual file sizes. 1000 MB can accommodate multi-category document packages for batch uploads |
RECALL_TOP_N | Top 8 entries | Small home appliance due diligence reports need to cover multi-dimensional parameters such as power, certification, and material. Recalling 8 entries ensures key parameters are covered |
SIMILARITY_THRESHOLD | 0.75–0.85 | Small home appliance parameter fields have a relatively high degree of standardization. This range filters low-correlation redundant data |
SYNC_INTERVAL_HOURS | 12 hours | Regular parameter revision cycles range from 6 months to 1 year. Synchronizing every 12 hours updates the latest energy efficiency certification information in a timely manner |
RE_RANK_TOP_N | Top 3 entries | Core parameters of small home appliance due diligence reports have relatively high priority. Retaining the top 3 entries after re-ranking ensures core information is prioritized |
The parameter values provided on this page are all conventional recommendations, used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After running the redeployment script, the system shows data write progress stuck, and does not complete after more than 2 hours. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. Batch uploaded small home appliance due diligence documents were not split into chunks, causing a single task to time out without triggering retries. - Phenomenon: After upgrade, the knowledge base can normally retrieve small home appliance parameter data, but the large model reply does not include the retrieval results. Cause: The association parameters between retrieval results and the large model context were not reconfigured after upgrade, causing retrieval results to not be correctly passed into the large model context window.
- Phenomenon: After upgrading to version 4.8.20, an error prompt appears when configuring the offline re-ranking model. Cause: The field mapping rules for small home appliance due diligence documents were not synchronized to the input format configuration of the re-ranking model, causing the model to fail to recognize the passed parameter fields.
How to confirm the configuration is complete
- Run a parsing test for a single small home appliance due diligence document, check whether the parsing completion time matches the preset timeout threshold.
- Enter the knowledge base management interface, verify that there are no error messages in the execution logs of multi-source data synchronization tasks.
- Initiate a due diligence report query, check that the number of retrieval results matches the setting logic of the recall threshold.
- Test the loading status of the offline re-ranking model, confirm that the number of returned re-ranking results matches the value set in the configuration item.
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.