What the data for this category looks like
Data sources for decoration and renovation financing daily reports include project filing information released by local housing and urban-rural development departments, renovation-related credit approval transaction records from cooperative financial institutions, and monthly fund declaration ledgers of decoration engineering enterprises. The update rhythm is daily. Project data collected on the same day is integrated by the next early morning. The document structure is a standardized structured table with seven fields: project ID, decoration enterprise name, project address, applied financing amount, approved financing amount, disbursement time, and financing purpose. Financing amounts are measured in RMB yuan. Project addresses are precise to the street level. Disbursement time uses the YYYY-MM-DD format.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Daily updated high-frequency data requires the multi-turn dialogue context window to support rapid recall of the latest daily data, to avoid data lag. There are many structured fields with close associations. Prompts must clearly specify field priorities to prevent the model from confusing the correspondence between project IDs and financing amounts. The requirement for project addresses to be precise to the street level requires supporting users to supplement or correct address details during multi-turn dialogue. Prompts must also limit the retrieval scope of addresses. The diversity of financing purposes requires prompts to classify and guide different scenarios of financing purposes, to avoid generating vague responses. Cross-source data aggregation requires allowing users to filter information from specific financial institutions or enterprises during multi-turn dialogue. Prompts must include syntax rules for filter conditions.
Configuration Setup
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The daily data volume of decoration and renovation financing daily reports is large, which can fully accommodate the structured information of all same-day projects and multi-turn dialogue history |
recall_top_k | Top 10 entries | The number of projects in financing daily reports is usually in the dozens. Recalling the top 10 entries can cover the main popular projects and avoid redundancy |
prompt_template | Fixed format: First list the core project fields, then answer user questions. Must strictly use the field values from the document | Structured data requires consistent field usage to prevent the model from fabricating information |
timeout | 600 seconds | Cross-institutional data aggregation may take a long time, to avoid request interruption |
filter_field | Disbursement time, financing purpose | Users usually filter financing projects by time or purpose, so pre-configurable filter fields must be set in advance |
response_format | JSON format | The output of structured data is convenient for subsequent engineering scenario calls and complies with data processing specifications |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: The response returned after calling the model does not include the specified financing daily report fields. Cause: The prompt does not clearly bind the field names from the document, causing the model to generate irrelevant content.
- Phenomenon: Multi-turn dialogue context is lost. Cause: Session persistence configuration is not enabled, causing historical records to be cleared each time a dialogue restarts.
- Phenomenon: The model's response content does not match the preset financing daily report rules. Cause: The prompt is not mounted to the corresponding knowledge base node, or the configuration location is incorrect.
How to Confirm Proper Configuration
- Initiate a query containing a specific street-level project address, and verify whether the returned result includes the financing information corresponding to that address.
- Initiate multi-round follow-up questions, such as first querying the total daily financing amount, then asking about the specific financing situation of a certain decoration enterprise, and verify whether the context is correctly retained.
- View the knowledge base configuration logs to confirm that the prompt and data source have been correctly associated.
- Test different filter conditions, and verify whether the returned projects comply with the preset filter rules.
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.