What data for this category looks like
Parameter data for kitchen and bath appliances comes from the National Energy Efficiency Label Database, CCC Certification Public Platform, official brand product manuals, and e-commerce platform detail page parameters. Update schedule: New product parameters are updated simultaneously with launch, energy efficiency grade data is updated quarterly, and sampling report data is released with each sampling batch. Parameter documents for a single product typically include basic information, performance parameters, safety certification information, installation dimensions, and consumable replacement cycle. Field units: rated power in kW, smoke exhaust volume in m³/h, installation dimensions in mm, consumable replacement cycle in months. Field order varies across documents.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Decentralized data sources and inconsistent formats require unifying parameter units across different documents during multi-turn dialogue to avoid unit confusion. Frequent updates to new product parameters require multi-turn dialogue to ensure the latest knowledge base data is called, otherwise outdated product parameters will be returned. Multi-dimensional parameters are closely related. For example, smoke exhaust volume and installation dimensions have a matching relationship. Multi-turn follow-up questions must retain context association while avoiding redundant historical information interfering with the current query. Parameter differences across different models are subtle. Multi-turn dialogue must accurately match the product model in the current conversation to prevent recalling parameters from unrelated models.
How to set configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
maxContext | First 1200-1800 characters | Single parameter document segments for kitchen and bath appliances are mostly 300-500 characters long. 1200-1800 characters can cover 3-5 core parameter segments and avoid redundancy |
similarity_threshold | 0.72-0.85 | Parameter differences between different models of the same brand for kitchen and bath appliances are subtle. This range can accurately match parameter documents for the current model and avoid recalling irrelevant content |
rerank_top_n | Top 3-5 results | Kitchen and bath appliance parameters involve multiple dimensions such as power, smoke exhaust volume, and installation dimensions. Retaining the top 3-5 results after reranking covers core parameters and avoids information overload |
refresh_knowledge_base_interval | Every 7 days | New product launches and energy efficiency data updates occur quarterly. Refreshing every 7 days ensures the latest data is recalled and avoids returning outdated parameters |
parse_chunk_size | 400-600 characters | Parameter groups in kitchen and bath appliance parameter documents have moderate length. This chunk size preserves parameter relevance and prevents single chunks from containing information for multiple products |
max_history_length | 5 turns of dialogue | Follow-up questions for kitchen and bath appliance due diligence mostly revolve around associated parameters of a single product. 5 turns of history covers conventional follow-up logic and avoids redundant information interference |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: Unit inconsistencies or model matching errors appear in returned results during multi-turn follow-up questions about kitchen and bath appliance parameters. The issue can be resolved by opening a new conversation. Cause:
max_history_lengthis not restricted, and redundant information from excessive historical conversations interferes with context matching for the current query. - Phenomenon: Energy efficiency data returned after calling the knowledge base does not match currently available products. Cause:
refresh_knowledge_base_intervalis not configured, so the knowledge base does not regularly synchronize the latest data from the National Energy Efficiency Label Database. - Phenomenon: The system confuses smoke exhaust volume parameters of different models of the same brand during multi-turn dialogue. Cause:
similarity_thresholdis set below 0.72, which recalls parameter documents from unrelated models and causes context association confusion.
How to Confirm Proper Configuration
- Initiate more than 3 follow-up questions centered on a single kitchen and bath appliance model, and verify that the parameter units returned in each round are consistent and the model matches the current conversation topic.
- Check the knowledge base refresh log to confirm there is an automatic refresh record within the last 7 days, verifying that the
refresh_knowledge_base_intervalconfiguration is active. - Adjust
similarity_thresholdand test whether the recalled documents only contain parameters for the current model, excluding documents from unrelated models. - View the conversation history record to confirm that the system only retains the last 5 rounds of context information, with no redundant historical parameter information interfering with the current response.
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.