What Data for This Category Looks Like
Industrial park data sources include park management committee investment filing systems, real estate registration center ownership archives, settled enterprises annual submission data, and park property operation ledgers. Data formats include structured enterprise settlement lists, unstructured planning approval documents, and operation log summary tables. Update schedules are divided into daily updated operation data, monthly updated investment data, and annually updated ownership and planning data. Document fields include calculable floor area, revenue per unit area, number of settled enterprises, and property operation cycle. Corresponding units are square meters, ten thousand yuan per square meter, units, and days.
Constraints for Model Access and Configuration
Industrial park data sources cover multiple systems. Formats include structured tables, unstructured drawings and text. Update schedules vary significantly. These characteristics require the model access link to support parsing multi-source heterogeneous data. Configure custom entity extraction rules to identify professional fields. Also support configuring data synchronization trigger logic based on different update cycles. Park data includes sensitive information such as real estate ownership. Configure data desensitization parameters. Document length varies widely. Adjust chunk processing threshold parameters to avoid long document truncation or short document parsing failure.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the average length of park planning documents and enterprise ledgers, avoiding overloaded or overly fragmented single segments |
parse_timeout | 300–600 seconds | Covers parsing time for large-volume planning PDFs and multi-page ledgers |
rerank_top_n | Top 8–12 entries | Matches the number of core enterprises and plot information that park due diligence reports need to cover |
ENTITY_EXTRACT_PROMPT | Written according to park due diligence standard templates | Accurately extracts professional fields such as calculable floor area and revenue per unit area |
sync_cron | 0 0 2 ? | Configured according to the regular update cycle of park data, adapting to the synchronization rhythm of monthly investment data and annual ownership data |
api_auth_token | Filled with tokens generated by the connected system | Completes authentication connection between the park's internal investment system and the platform |
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 case-by-case analysis. It is recommended to test on samples relevant to the specific use case before finalizing settings.
Three Common Configuration Errors
- After deploying a local or third-party reranking model, the platform does not display the model, or a 401 Unauthorized error is returned during calls. The cause is failure to correctly configure the model's authentication parameters, or failure to fill in the model's access address and security credential format in the platform.
- Entity extraction results lack professional park fields, such as calculable floor area and revenue per unit area. The cause is failure to configure a custom entity extraction prompt, or the prompt does not cover exclusive field definitions for park due diligence.
- A model version 2 is configured. After selecting the corresponding name in the platform, the actual call still uses version 1. The cause is failure to correctly fill in the model version identification parameter in the model access configuration, or the platform has cached old version model information.
How to Verify Successful Configuration
- Access the platform's model access management page. Confirm that configured park-adapted models and reranking models are in an enabled state and appear in the available model list.
- Upload a single industrial park planning PDF document. Start a parsing task. Check that the parsing results include preset professional fields.
- Manually trigger a data synchronization task. Check that the synchronization log has no errors and returns the latest data entries from the park system.
- Initiate a test query. Input the standard question for park due diligence. Check that the number of reranked entries and context length of the returned results match the configured parameters.
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.