What the Data for This Category Looks Like
Data for this category comes primarily from three sources: third-party education industry research institutions, publicly available survey materials from education authorities, and internal operational analysis reports from education service enterprises. Policy interpretation reports are updated alongside the release of corresponding education policies. Industry operation reports are updated quarterly. Each individual document follows a standard structure: cover page, abstract, policy interpretation, segmented industry analysis, and data appendix. Document fields include report release date, issuing institution, covered education stages, and core indicator units. Core indicators are mostly measured in person-times, class hours, or ten-thousand yuan.
What Constraints Do These Characteristics Impose on Workflow Orchestration?
Three constraints arise from these data characteristics for workflow orchestration. First, data sources are dispersed. Multiple data source mounting nodes must be configured to support connection to research report storage paths from third-party research institutions, education authorities, and internal enterprise systems. Second, update rhythms vary. Classified scheduled synchronization nodes must be set up. Policy reports trigger synchronization based on the corresponding policy release cycle. Operation reports trigger synchronization quarterly. Third, document structures are complex, with segmented fields such as covered education stages and indicator units. Chapter-level segment parsing nodes must be configured, alongside field extraction nodes. Extract the covered education stages field to use as a retrieval filter. Retain indicator units to ensure the accuracy of retrieval results.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Scheduled sync interval | Policy category: 7 days, operation category: 90 days | Matches the update rhythm of the two report types to ensure knowledge base data timeliness |
Chunk size | 800–1200 characters | Adapts to the information density of education research report chapters, avoids overly long single segments that cause context overflow |
Recall count | Top 8 entries | Covers retrieval needs across multiple segmented dimensions of education research reports, avoids missing relevant content |
Similarity threshold | 0.75–0.85 | Balances the accuracy of professional term matching, filters irrelevant documents while retaining relevant segmented industry content |
Rerank result count | Top 5 entries | Controls the number of final displayed results, avoids information overload for users |
Knowledge Base Filter Variables | Extract 覆盖学段 field | Matches the core retrieval dimension of education service research reports, accurately filters research report content for target education stages |
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. Analyze specific cases individually, and confirm settings after testing with your own samples.
Three Common Misconfigurations
- Symptom: Calling the workflow API returns an empty result or prompts "no matching documents". Cause: No field mapping is configured for the knowledge base filter variable, so the
覆盖学段field from research reports cannot be correctly extracted as a retrieval filter. - Symptom: No matching results appear after filling in variable reference parameters when configuring a knowledge base retrieval node. Cause: The knowledge base field name associated with the variable is not specified. Only the variable name is filled in, without binding to the
覆盖学段field of research reports. - Symptom: Workflow execution times out, returning a
504 Gateway Timeouterror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. Individual education research report documents have large content volumes, and the default timeout duration is insufficient to complete document parsing and segmentation.
How to Confirm Proper Configuration
- Manually trigger a knowledge base synchronization operation, and check synchronization logs to confirm that research reports from the corresponding data source have been successfully parsed and stored in the knowledge base.
- Enter a query containing a specific education stage in the workflow debugging interface, and verify that retrieval results match research report content for the target education stage.
- Call the workflow API, and check that returned results include core field information from research reports, with no empty or missing values.
- View workflow execution logs to confirm that document parsing segment lengths match preset configurations, with no context overflow-related prompts.
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.