What the data for this category looks like
Residential development-related yield data comes from internal enterprise project management systems, land transfer records filed by land management authorities, pre-sale filing data from housing and urban-rural development authorities, and financing ledgers from cooperative financial institutions.
Data updates follow key project milestones. Initial cost ledgers are updated within 1 business day after land auction completion. Cash flow data is updated at monthly payment collection milestones. Salable parameters are updated after pre-sale permit approval.
Single-project data is presented as a structured ledger, including fields such as unique project identifier, land acquisition cost, individual construction cost, salable floor area, filed sales unit price range, cumulative payment collection amount, financing quota and repayment plan. The units of these fields correspond to ten thousand yuan, yuan/square meter, square meter, yuan/square meter, ten thousand yuan, and ten thousand yuan respectively.
What constraints these characteristics impose on workflow orchestration
Data sources for residential development projects are scattered. Updates depend on key milestones. Field structures are flexible with varying units. These factors create multiple constraints for workflow orchestration.
Nodes that pull data across multiple systems must support dynamic configuration of data source mappings to adapt to differences in system docking permissions across projects. Workflows must be bound to events such as land auction completion, monthly payment collection, and pre-sale permit approval as execution triggers, using event-driven execution logic.
Structured ledgers contain multi-dimensional custom fields. Parameter configuration for workflows must support dynamic field mapping to avoid hard-coding fixed fields. Unit differences across projects require a unified conversion node in the workflow to ensure accuracy of cross-field calculations.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Residential development project ledgers typically contain multi-page detailed data. 600 seconds covers the full structured parsing process |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single-project ledgers may include multiple drawings and attached spreadsheets. 1000 MB meets the file upload requirements of conventional projects |
knowledgeSearch recall count | Top 10 entries | Residential development yield data covers multiple dimensions including costs, payment collections, and financing. Recalling 10 entries covers core fields while avoiding information overload |
Similarity Threshold | 0.72–0.78 | Structured data has high requirements for field matching accuracy. This range filters low-match irrelevant documents and retains core project data |
Reranked return count | Top 5 entries | After secondary sorting of recalled documents, retain the top 5 highly relevant results to improve extraction efficiency of core data |
maxContext | 800–1200 characters | The calculation logic for residential development yields relies on multi-field association. This length supports complete project parameters and calculation rules |
The parameter values provided on this page are common recommendations used as 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 your own samples before finalizing settings.
Three common errors
- Phenomenon: The workflow returns "No matching documents found" after execution, and the knowledge base search node returns an empty array. Cause: Dynamically passed variables are not bound to the exclusive document of the current project, causing the search scope to cover the full knowledge base without limiting to the target project ledger.
- Phenomenon: After uploading a large project ledger, the file parsing node triggers a timeout error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The default timeout duration is insufficient to complete full parsing of multi-page structured data. - Phenomenon: After migrating an older version workflow to a new version, the original event trigger logic fails. Cause: Adaptation to the version compatibility rules of the new version workflow is not completed. The old configuration cannot recognize the event binding logic of the new version.
How to confirm the configuration is complete
- Upload a single-project test ledger file, and check whether the file parsing node successfully generates structured data.
- Manually trigger the workflow, and check whether the results returned by the knowledge base search node cover the core cost and payment collection fields of the current project.
- Verify the parameter binding relationships in the workflow, ensuring that dynamic variables are correctly mapped to the unique project identifier to avoid confusion of cross-project data.
- Adjust the value ranges of configuration items, and verify the execution stability of the workflow across different parameter combinations.
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.