What the data for this category looks like
Market trend data for consumer construction materials comes from public statistical data released by the China Building Materials Federation, quotes from building materials sections of domestic bulk commodity spot trading platforms, and official supply announcements from building material manufacturers. Update cycles vary: Core categories such as tiles, coatings, and plastic pipes are updated daily. Niche categories such as special waterproof membranes are updated every 3 business days. The data uses a structured format. Each row corresponds to a subcategory, and includes the following fields: category ID, category name, specification model, supply region, current day supply price, previous period supply price, market supply and demand level. Units include yuan per square meter, yuan per ton, yuan per item, and others, with different measurement methods for different categories.
Constraints imposed on multi-turn dialogue and prompt engineering
Dispersed data sources lead to inconsistent fields across different platforms. Prompts must clearly specify fixed field mapping rules to avoid field confusion during multi-turn dialogue. Differences in update cycles require prompts to clarify data update timeliness during the first interaction, preventing the return of outdated information. The large number of subcategories and inconsistent measurement methods require multi-turn dialogue to gradually guide users to confirm specific categories, supply regions, and specification parameters to reduce ambiguity. The large number of fields in structured data requires prompts to limit the scope of recalled fields to avoid redundant output.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Consumer construction materials have many data fields. Multi-turn dialogue needs to retain historical interactions and multiple sets of category data to avoid context overflow |
similarityThreshold | 0.72–0.80 | Matching category names and specifications requires balancing accuracy and recall rate to avoid missing data for niche categories |
reRankTopN | Top 6 entries | There are many subcategories of consumer construction materials. Reranking retains valid data for core categories and reduces redundant information |
promptTemplate | Fixed field mapping template | Unify field differences across data sources, and guide multi-turn dialogue to gradually confirm regions and specification parameters |
streamResponse | Enabled | Avoid user waiting timeouts when returning long data, which meets the real-time interaction requirements of market trend broadcasts |
dataSourceTimeout | 120 seconds | Some niche category data needs to be pulled across platforms, avoiding dialogue failure due to slow data source response |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material forms, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing values.
Three Common Misconfigurations
- Scenario: Calling the online dialogue interface returns empty data or a 408 status code. Cause: The
dataSourceTimeoutparameter is not configured, or its value is set below 120 seconds, causing a timeout disconnect when pulling data for niche building materials across platforms. - Scenario: In version v4.8.10, short text questions still output results all at once. Cause: The
streamResponseconfiguration is not enabled, or the prompt template is not adapted to the streaming output format. - Scenario: Preset quick reply buttons do not respond when clicked. Cause: The trigger text for quick replies is not bound to the guide instructions in the prompt template, preventing the system from recognizing the trigger condition.
How to Verify Successful Configuration
- Initiate a multi-turn dialogue that includes specific consumer construction material categories and regions, and check if the returned content includes the specified fields and corresponding units.
- Review the conversation history context length to confirm that content truncation due to
maxContextrestrictions does not occur. - Test recall results with different similarity thresholds, and adjust to match the accuracy required for business needs.
- Trigger preset quick replies, and check if the system directly navigates to the corresponding dialogue process.
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.