What the Data for This Category Looks Like
Marketing content data for the decoration and renovation industry primarily comes from project archive files of decoration companies, designer solution libraries, regional building material quotation systems, and construction progress ledgers. Some data is sourced from customer demand ledgers for renovation loans from cooperating financial institutions.
Data update rhythm follows business nodes. Newly started project archives are synced in real time. Building material quotations are updated once per week. Designer solution libraries are updated based on the frequency of new creations. Financial customer demand ledgers are updated daily based on application volume.
Document structure includes fields such as project unique identifier, household area, renovation style, building material brand and model, construction period, budget details, customer loan amount intent, etc. Units include square meters, yuan per square meter, calendar days, ten thousand yuan, etc.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The data characteristics of the decoration and renovation industry impose clear constraints on the multi-turn dialogue and prompt engineering link. The real-time nature of project archives and building material quotations requires that the latest data sources are prioritized during multi-turn dialogue to avoid generating outdated marketing content. The multi-field document structure requires that prompts clearly specify the scope of fields to extract and verify, preventing the model from confusing parameters across different business dimensions.
User inquiries often focus on household type, budget, style, and loan amount intent. Multi-turn dialogue must collect prerequisite information in order, then generate matching marketing materials based on corresponding dimensions, and unify unit expressions to avoid ambiguity. It is also necessary to comply with compliance requirements from financial institutions to ensure marketing content meets standards.
How to Configure
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Decoration business context requires multi-dimensional information such as household type, budget, and style. Truncating critical parameters will lead to mismatched marketing content |
recall count | Top 6–8 entries | Must align with historical needs of multi-turn dialogue and previously generated marketing content. Excessive entries increase token consumption and slow response speed |
similarity threshold | 0.75–0.85 | Accurately match historical marketing materials related to user household type and style, filter irrelevant content, and improve the relevance of marketing content |
segment length | 1000–1500 characters | Decoration-related documents (such as material lists, design plans) are lengthy. Segment processing improves prompt parsing efficiency and recall accuracy |
systemPrompt | Prioritize calling the latest building material quotation and project data, generate matching marketing content based on user-provided household type and budget, and comply with financial compliance requirements | Clarify the business boundaries and data calling rules for the model, avoid generating outdated or non-compliant content |
toolCallEnable | Enabled | Must call real-time data source interfaces to obtain the latest building material quotations and project information, supporting dynamic content generation for multi-turn dialogue |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Issue: A single interaction in multi-turn dialogue cannot send two marketing content messages at the same time, and the interface returns an error "message count exceeded limit". Cause: The
maxParallelMessagesparameter is not configured, or its value is set to 1, which limits the number of messages output per interaction. - Issue: Markdown format messages sent via WeChat channels retain syntax symbols such as # and *, and are not correctly rendered as rich text. Cause: The
markdownRenderModeparameter is not configured for WeChat channels, and channel-adapted format conversion rules are not enabled. - Issue: The cumulative token consumption of multi-turn dialogue cannot be viewed in the interface, and there is no clear token statistics field in the global log. Cause: The
enableTokenStatsconfiguration item is not enabled, and the global token statistics function is not turned on.
How to Confirm Configuration is Correct
- Enter the dialogue debugging interface, initiate a multi-turn query including household type, budget, and style, and check whether the dialogue context retains all key information from previous interactions.
- Trigger a dialogue flow that includes tool calls, and check whether the log correctly obtains and uses the latest building material quotations and project data.
- Verify that the values of system configuration items meet the requirements of the business scenario, for example, whether the context window length covers the complete information of multi-turn dialogue.
- Test message sending via the WeChat channel, confirm that Markdown format marketing content is correctly rendered, and no original syntax symbols are displayed.
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.