What the data for this category looks like
Data for industrial park financing daily reports comes from three sources: park operator investment promotion filing systems, financing reporting portals of settled enterprises, and park-specific data pools of local financial service platforms. Data is updated daily at midnight to reflect the previous workday’s financing information. Real-time reported financing events are supplemented before 12:00 PM on the same day. Each data entry includes these fields: enterprise name, affiliated industry sector, financing amount, financing round, investor information, financing completion date, park workstation number, and years of settlement. Unified field units apply: financing amount is measured in ten thousand RMB, years of settlement are measured in years, and date fields use the YYYY-MM-DD format.
Constraints imposed on model access and configuration
Multiple heterogeneous data sources require configuring multi-source aggregation verification rules to prevent data conflicts across channels. The daily update schedule requires configuring trigger cycles for scheduled incremental sync tasks to reduce resource consumption from full data pulls. Park-specific workstation number and years of settlement fields need custom vector index rules to fit retrieval needs for non-general business scenarios. Standardized unit requirements for financing amounts require configuring data cleaning unit conversion rules to ensure accuracy in subsequent calculations and display. The real-time supplementary financing event feature requires configuring a real-time incremental data pull switch to maintain data timeliness.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
data_sync_interval | 86400 seconds | Matches the daily update schedule of industrial park financing daily reports, ensuring the data sync cycle aligns with the data source update cycle |
incremental_sync_enabled | Enabled | Adapts to the daily incremental update feature, reducing resource consumption from full data pulls |
custom_field_vector_config | Configure workstation number and years of settlement as dedicated index fields | Adapts to park-specific business fields included in park financing daily reports, separately mapping vector dimensions to improve retrieval accuracy |
reranker_top_k | Top 10 entries | The volume of industrial park financing daily report data is relatively concentrated, covering core financing information without excessive recall |
unit_standardization_rule | Unify financing amounts to ten thousand RMB units | Corrects potential unit inconsistencies in raw data, ensuring accuracy in subsequent calculations and display |
max_context_window | 12000 characters | Adapts to the average length of single financing daily report data, set based on context requirements for multi-turn conversations |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After calling the reranker model, all returned
is_relevantfields arefalse. Cause: Thereranker_top_kparameter is not configured to match the number of recalled entries, and the input data format received by the reranker model does not meet expectations. - Symptom: After configuring the chart rendering plugin, the test process works normally, but only XML or JSON code blocks are returned during actual answering, with no chart rendered. Cause: The front-end rendering callback configuration of the plugin is not enabled, only the original data code is returned, and the rendering logic is not triggered.
- Symptom: An error
Cannot read properties of null (reading 'q')is returned when calling the model interface. Cause: No empty query interception rules are configured, and empty user queries are not processed in advance and directly passed to the model interface.
How to Confirm the Configuration Is Complete
- Perform a manual data sync, verify that the sync log includes park-specific workstation number and years of settlement fields, and that data update times align with the data source update schedule.
- Initiate a test query, enter questions related to park financing, confirm that the reranked relevance of returned results meets business requirements, and adjust relevant parameters to achieve the expected recall effect.
- Test the chart rendering plugin, confirm that the answer triggers front-end rendering logic to generate visual charts in addition to returning code blocks.
- Trigger abnormal scenarios such as empty queries, confirm that the interface returns standardized error prompts, and no uncaught exceptions occur.
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.