What This Category’s Data Looks Like
Industrial park investment research data sources include investment promotion ledgers from park operators, annual operating reports of settled enterprises, local industrial policy documents, land surveying and mapping reports, and monthly operation briefings. Data update rhythms are not fixed. Investment promotion and operation data is updated monthly or quarterly. Industrial policies are updated in line with local release cycles. Documents include both structured tables and unstructured text. Structured fields include settled enterprise industry classification, tax per mu, lease term, floor area ratio, with units of industry code, ten thousand yuan/mu, natural year, and percentage respectively. Unstructured documents are mostly policy interpretations and park feasibility study reports, with length ranging from hundreds to tens of thousands of characters.
What Constraints Do These Characteristics Impose on the "Knowledge Base Retrieval and Recall" Link
The mixed structured and unstructured nature of industrial park data requires the retrieval link to support both precise matching of structured fields and semantic recall of unstructured text. Large differences in data update rhythms require support for incremental sync frequency configured per data source, to avoid redundant full updates. Fields have dedicated units and industry terminology, so recall must retain unit-associated matching logic to prevent semantic confusion. The wide span of unstructured document lengths requires adapting long-text segmentation strategies to avoid truncation of key information. Policy documents have strong timeliness, so recall must link release time fields to filter expired content.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Number of Recalled Entries | Top 8-12 entries | Industrial park data contains mixed structured and unstructured content. 8-12 entries can cover key information from multiple data source types, avoiding overload from single-category data. |
| Similarity Threshold | 0.72-0.85 | Park industry terminology consists mostly of professional vocabulary. A threshold that is too low will introduce irrelevant content, while a threshold that is too high may miss critical policy or operation data with slightly lower matching scores. |
| Segmentation Length | 800-1200 characters | The wide span of unstructured document lengths requires balancing semantic completeness and recall accuracy. 800-1200 characters avoids over-splitting long documents. |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Long documents such as park feasibility study reports take longer to parse. 900 seconds covers the parsing process for most large documents. |
| Incremental Sync Trigger Condition | Triggered by data source update timestamps | Different data sources have widely varying update rhythms. Triggering by timestamps avoids invalid full syncs, adapting to the non-fixed update cycles of park data. |
| Structured Field Matching Switch | Enabled | Park data contains large amounts of structured ledger information. Enabling this switch enables precise matching of fields such as enterprise name and tax per mu, improving retrieval accuracy. |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Garbled characters appear after importing park operation reports in the production environment, while the import result is normal in the local deployment environment. Cause: The production environment is not configured with the encoding conversion plugin for the corresponding format, or the character set of the uploaded file is inconsistent with the local environment.
- Phenomenon: Some valid content fails to be recalled when searching for park industrial policies. Cause: The similarity threshold is set too high, or the segmentation length is too long, resulting in key policy segments not being fully split.
- Phenomenon: The knowledge base retrieval source list is forcibly displayed in the answer interface and cannot be hidden. Cause: The "Display Retrieval Sources" switch is not turned off in the answer configuration, or the traceability display logic is enabled by default.
How to Confirm Proper Configuration
- Upload a park monthly operation report and industrial policy document, check if the parsed data fully retains exclusive fields such as tax per mu, floor area ratio and their corresponding units.
- Initiate a search targeting the industry classification of park settled enterprises, verify that both precise matching of structured fields and semantic recall of unstructured text can return valid results.
- Simulate the incremental sync process, confirm that only data sources with updated timestamps trigger sync tasks, and unmodified data sources do not repeat parsing.
- Adjust the similarity threshold and initiate multiple search groups, observe the correlation changes of recall results, and confirm that the threshold adapts to the professional terminology characteristics of the current park data.
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.