What the Data for This Category Looks Like
Data related to kitchen and bath appliance yield rate comes from publicly available compliance reports on national energy efficiency testing platforms, official model parameter documents from brands, and actual measurement records from third-party home appliance evaluation institutions. The system updates data synchronously when new models launch to refresh existing model information. Routine model parameters are calibrated every quarter. The system completes full data updates within 7 working days after energy efficiency standards are adjusted. Single-model data documents use a structured format, including fields such as model identifier, initial purchase cost, annual operating energy expenditure, rated service life, and industry benchmark energy efficiency parameters. Units are, respectively: unformatted model identifier, CNY yuan, CNY yuan/year, years, and CNY yuan/year.
What Constraints These Characteristics Impose on the "Form and Interaction" Link
Dispersed multi-source data requires the form to support batch import and deduplication of multi-channel data. This prevents duplicate entry of the same model parameters. The system requires separate form entrances for existing and new models to accommodate different update rhythms. This ensures automatic calibration of the latest parameters after new model data is uploaded. Fixed field units require the form’s input boxes to preset unit prompts. This prevents users from entering values with incorrect formats. Linked calculation business logic requires the form to automatically associate multiple fields to generate yield rate results. This reduces errors from manual input. Parameter differences across categories require the form to provide optional field switches. This adapts the form to the parameter requirements of different kitchen and bath appliance categories such as range hoods and gas water heaters.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000-12000 characters | Calculating the yield rate for a single model requires associating multiple sets of parameters such as purchase cost, energy consumption, and service life. Fully retaining the context avoids calculation errors caused by truncated parameters |
Recall count | Top 6 entries | Kitchen and bath appliance model data is scattered across multiple documents. Too many recalled entries will introduce redundant parameters that interfere with calculations, while too few may lose key model information |
Similarity threshold | 0.75-0.85 | Precise matching of model identifiers is required to avoid recalling parameter documents from non-target categories or the same model with different batches |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | When batch importing multiple energy efficiency testing documents, sufficient time must be reserved for single-file parsing to handle table formats and parameter extraction |
UPLOAD_FILE_MAX_SIZE | 20 MB | The maximum space occupied by test report images and parameter tables associated with a single model data document will not exceed this threshold |
reRankTopN | Top 3 entries | Retain the most relevant model parameters after re-ranking, ensuring that the data source used for yield rate calculations is accurate and free of redundancy |
The parameter values provided on this page are common recommended starting points for determining configuration baselines. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing values.
Three Common Mistakes
- Phenomenon: The online chat can correctly output the yield rate result of the target model, but the result returned by the API call deviates greatly from the knowledge base content. Reason: The API call did not enable context association configuration, and did not use the model identifier from the previous interaction as a retrieval condition, resulting in each call independently retrieving full data.
- Phenomenon: A
400 Bad Requesterror occurs when batch importing kitchen and bath appliance energy efficiency documents. Reason: Unit verification was not enabled in the form configuration, and energy consumption parameters in the user-uploaded documents did not match the preset元/年unit format, triggering a format verification failure. - Phenomenon: The yield rate calculation result returned when calling the API is empty. Reason: The
maxContextparameter was not configured, resulting in failure to retain the model parameter context from the previous interaction during the API call, making it impossible to complete multi-field linked calculation.
How to Confirm the Configuration Is Complete
- Initiate an API call, providing the identifier of a known model, and verify that the returned parameters match the document for that model in the knowledge base.
- Test batch uploading multiple kitchen and bath appliance energy efficiency documents, and verify that the parsing status is normal with no timeout or format errors.
- Adjust the
Similarity thresholdparameter, test retrieval of different model numbers, and verify that the accuracy of the recall results meets business requirements. - Enable context association configuration, initiate two consecutive API calls, and verify that the second call uses the model parameters returned from the first call as the retrieval condition.
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.