What this category’s data looks like
Data for industrial park research reports comes from three sources: official operational reports published on industrial park official websites, industrial support documents released by local development and reform departments, and special park research reports from third-party industrial research institutions. Update cycles vary: official operational data is updated with monthly reports, while special research reports are released quarterly. Document structure includes four modules: basic overview, operational indicators, policy support, and investment promotion dynamics. Structured fields include planned park area (unit: square meters), number of settled enterprises, tax per mu (unit: ten thousand yuan), annual investment signing amount (unit: ten thousand yuan), alongside long-text operational analysis and policy detail content.
What constraints these characteristics impose on HTTP interfaces and external systems
Because the data includes both structured operational fields and long-text analysis content, HTTP interfaces must support both structured parameter filtering and full-text retrieval capabilities. Industrial park data has inconsistent update cycles. External systems connecting to this data must configure incremental pull trigger intervals to avoid invalid requests. Some fields use specific units. Interfaces must retain original unit information in responses, so external systems can handle unit conversions independently. Research report document lengths vary widely. Interfaces must support configuring a truncation threshold for returned content, to adapt to external system storage and display limits. There is a need for exact matching of structured fields. This requires interfaces to support passing query parameters by specified fields for precise filtering.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
Recall Count | Top 8–12 entries | Individual industrial park research reports have lengthy content; too many recall entries increases interface response latency, while too few fails to cover full business requirements |
Similarity Threshold | 0.72–0.85 | Industrial park research reports have clear industry segment labels; a threshold that is too low introduces irrelevant regional industrial reports, while a threshold that is too high may miss related content from the same park |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single park research reports may contain multi-page operational data and policy documents, with long parsing times; the default timeout duration is insufficient for complete parsing |
maxContext | 4000–6000 characters | Core analysis content of park research reports is concentrated in the early and middle sections; overly long context exceeds model context window limits and increases interface call costs |
Incremental Sync Interval | Calibrated based on actual testing | Official data update cycles vary across different parks; sync frequency must be adjusted based on the actual connected data source to avoid repeated pulls or missed updates |
Reranked Return Count | Top 3–5 entries | External systems typically only display core results when showing research reports; too many reranked entries increases front-end loading pressure |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: Response time exceeds 10 seconds when calling hybrid retrieval interfaces. Cause: Failed to optimize the recall scope of hybrid retrieval for structured data from industrial park research reports, leading to excessive retrieval load.
- Phenomenon:
400 Bad Requesterror returned when calling question answering interfaces. Cause: Failed to configure themaxContextparameter suitable for research report document lengths, exceeding the context window supported by the model. - Phenomenon: Duplicate research report entries appear when external systems pull data. Cause: No incremental sync time interval was set, or the sync interval does not match the data source update cycle, leading to repeated pulls of already processed documents.
How to confirm configurations are correct
- Initiate a query request with specified structured fields, and verify that returned results match preset filter conditions, with field units consistent with the data source.
- Call the question answering interface and pass questions related to park research reports, confirm that response time meets preset business requirements, and no timeout errors are triggered.
- After configuring the incremental sync task, verify that two pulled data sets have no duplicate entries, and include the latest updated park operational information.
- After connecting to an external front-end system, verify that interface returned content displays normally, with no content truncation or format abnormalities.
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.