What Data for This Category Looks Like
For industrial park research reports targeting finance, insurance, and wealth management sectors, data primarily comes from annual operation summaries, monthly investment promotion briefings, industrial planning white papers publicly released by park management committees, and specialized park research documents published by third-party industrial consulting institutions.
Document update rhythm aligns with official disclosure schedules. Official public documents have no fixed release cycle. Third-party specialized reports are updated quarterly or annually.
Most individual documents are structured, containing fields such as park location coordinates, list of settled enterprises, total annual revenue, investment promotion subsidy standards. Units include square meters, number of enterprises, ten thousand yuan, yuan per square meter, and similar units.
Constraints on Knowledge Base Retrieval and Recall
Data sources are scattered, and update cycles are inconsistent. Retrieval systems must support multi-source data synchronization configuration, and adapt to irregular incremental update scenarios.
Individual documents are lengthy, with multi-dimensional structured fields. Retrieval systems must support precise field-based recall to avoid interference from irrelevant content.
Fields such as settled enterprise lists and revenue data have clear associated units. Recall processes must retain the correspondence between fields and units to prevent information confusion.
Third-party reports and official documents have different authority levels. Retrieval systems must support configuring recall priority based on data source weight, to ensure core official data is displayed first.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 10-15 entries | Industrial park research reports have lengthy individual content. Too many recall entries will exceed the context window, while too few will fail to cover complete business requirements. 10-15 entries balances recall scope and context length. |
similarity threshold | 0.72-0.85 | Industrial park research reports contain a large number of professional terms and structured fields. A threshold that is too low will introduce irrelevant content, while a threshold that is too high may miss accurately matched policy or operation data. The interval is calibrated based on actual testing. |
segment length | 800-1200 characters | Individual industrial park research reports include multiple types of fields. Segments of 800-1200 characters retain the association between fields and context, avoiding loss of structured information after splitting. |
incremental sync trigger frequency | Configured by data source type: daily for official documents, weekly for third-party reports | Official public data updates have no fixed cycle. Daily synchronization obtains the latest operation briefings in a timely manner. Third-party reports are updated quarterly, and weekly synchronization covers supplementary content released temporarily. |
field recall switch | Enable switches for settled enterprises, revenue data, and investment promotion policy fields | Core business requirements for industrial park research reports focus on these three types of fields. Enabling corresponding switches accurately recalls specific information required by users. |
full-text retrieval algorithm | Vector model adapted for professional terms | Industrial park research reports contain a large number of industrial terms and structured data. Using a professional vector model improves retrieval accuracy and avoids semantic bias from general-purpose models. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: The retrieval result returns an empty list, or no matching industrial park research report content. Cause: The similarity threshold is set too high, or the recall range limit for the corresponding industrial park dataset is not enabled, resulting in failure to match qualified content.
- Phenomenon: The retrieval result includes irrelevant data across multiple parks, and cannot be limited to the specified industrial park. Cause: Dataset grouping rules are not configured, or the knowledge base subset corresponding to the target park is not bound in the retrieval request, resulting in a recall scope that exceeds expectations.
- Phenomenon: The recalled research report content loses the correspondence between fields and units after splitting, leading to confusing presentation of professional data. Cause: The segment length is set improperly, and splitting destroys the complete context of structured fields, making it impossible to retain the association between units and data.
How to Verify Proper Configuration
- Submit a retrieval request targeting park-specific fields, and check whether the returned results include content corresponding to the fields.
- View the knowledge base synchronization logs to confirm that the update frequencies of different data sources meet the configured requirements.
- Adjust the similarity threshold, compare the correlation changes of recall results before and after, and confirm that the threshold interval is suitable for the current business requirements.
- Test a retrieval request that limits the scope to a specified industrial park, and confirm that the recall results only include research report content for the target park.
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.