What the data for this category looks like
Data sources for industrial park research reports include public annual reports from park management committees, investment and operation ledgers, government industrial filing databases, and third-party research documents. Update frequencies cover three categories: real-time (investment ledgers), monthly (operation monthly reports), and quarterly/annual (official reports). Document structure is fixed into four sections: core industrial data, settled enterprises status, investment promotion policies, and spatial planning. Core fields include tax per mu, contracted project investment amount, available factory building area, land plot ratio, and others. Corresponding units are ten thousand yuan per mu, ten thousand yuan, square meters, and dimensionless values. Each document ranges from thousands to tens of thousands of words.
What constraints do these characteristics impose on workflow orchestration
Multi-source data access requires the workflow to support chaining unstructured document parsing nodes and structured database query nodes. The wide word count range of documents requires the workflow to have configurable, adjustable segmentation and recall parameters. This avoids context overflow or missed information. The presence of dedicated fields and units requires the workflow to include standardized mapping nodes. These nodes unify field formats across different data sources. Data sources with varying update frequencies require the workflow to support a mix of scheduled and manual triggers. This adapts to real-time and periodic data update needs.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 800–1200 characters | The word count of industrial park research reports varies widely. This range balances context completeness and retrieval efficiency |
recall_count | top 6–10 entries | Core industrial data is scattered across multiple sections. Additional recall results can cover complete information |
similarity_threshold | 0.72–0.85 | Professional terms account for a high share. A threshold that is too low will introduce irrelevant documents, while a threshold that is too high will miss relevant content |
DB_CONNECT_TIMEOUT | 30 seconds | Structured data from industrial parks is mostly stored in local databases. This duration covers typical network latency |
WORKFLOW_TRIGGER_CRON | 0 0 2 * * * | Official research reports are mostly updated daily in the early morning. Scheduled triggers ensure data timeliness |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | A single research report may exceed 100,000 words. This duration allows complete parsing |
The parameter values provided on this page are common recommended 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 configuration errors
- Symptom: Database connection error
Failed to connect to jyfkk:1433 - 38BBDDC3AF7F0000. Cause: Access whitelist for the park database is not configured, or the port number is blocked by a firewall. - Symptom: Question classification node fails to accurately identify industrial park-specific questions. Cause: Background knowledge only includes general industry terms, and does not include park-specific terms such as tax per mu and plot ratio.
- Symptom: Workflow execution times out. Cause: Segment length is set too large, causing single-segment text to exceed the model's context window, and no timeout retry mechanism is configured.
How to confirm the configuration is complete
- Manually upload an industrial park research report, check if the segmented content after document parsing falls within the preset
segment_lengthrange. - Trigger the workflow once, check the database connection logs to confirm there are no timeout or connection failure errors.
- Input an industrial park-specific question such as "What is the current park's tax per mu", check if the returned retrieval results include content for the corresponding field.
- Wait for the preset scheduled trigger time, check if the workflow automatically executes and generates the latest research report retrieval results.
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.