What the Data for This Category Looks Like
Educational service research report data primarily comes from public surveys by education industry consulting institutions, local education authorities, teaching and research summary reports from schools and institutions, and annual white papers from industry associations. Updates follow a quarterly regular cadence, with full industry white papers released annually. Document structure includes fields such as report title, publishing entity, release date, survey coverage scope, core conclusions, segmented track data, and policy-related entries. The survey coverage scope field uses units of "schools" (for institutional count) and "person-times" (for student sample counts). Policy-related entries include document numbers and publishing entity information.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The scattered sources of educational service research reports lead to significant format differences across individual documents. During multi-turn dialogue, key fields such as the report's publishing entity and sample units must be retained in the conversation context, to avoid mixing data calibers from different sources. The high-frequency update feature requires the recall logic to link with the latest release timestamp, preventing the return of expired reports. Documents are lengthy and include segmented track data, so the prompt must explicitly limit responses to only the content of the currently recalled research reports, while supporting users in asking for details on specific fields, and retaining the specified research report scope context from the previous round of dialogue.
How to Set Configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContextTokens | 8000–12000 characters | Meets the context retention requirements for single long-form educational service research report texts, avoiding truncation of critical survey data |
recallTopK | Top 6–10 results | Matches the relevance of research report segmented tracks, avoiding recalling too many irrelevant reports and increasing context load |
promptTemplate | Predefined format: "First annotate the research report source and release time, then respond based on the recalled content" | Standardizes the response format for educational service research reports, aligning with user trust requirements for official data |
httpRequestTimeout | 300 seconds | Adapts to the online retrieval and parsing duration of research report data, preventing workflow interruptions due to timeouts during long document processing |
corsAllowOrigins | Configure a list of business frontend domain names | Resolves cross-origin access restrictions when the frontend calls the interface |
tokenCountStrategy | Calculate based on research report segments + cumulative context | Matches the long-text token consumption statistics of educational service research reports, accurately calculating the cost of each dialogue |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- A CORS error is returned when calling the
/api/v1/chat/completionsinterface, with a 403 status code or cross-origin interception prompt displayed in the frontend console. Cause: ThecorsAllowOriginsparameter is not configured, or a wildcard*is used, which does not comply with browser cross-origin security policies. - No online research report search is performed when triggering a dialogue, and a generic AI response is used directly. Cause: The
httpRequestTimeoutparameter is set too short. After the online request times out, the workflow falls back to a pure AI dialogue session, without triggering the HTTP search step as configured. - Conversation context loses key field information such as research report sample units and policy document numbers. Cause: Key context retention fields are not specified in the
promptTemplate, and previously recalled research report metadata is not passed during multi-turn dialogue.
How to Verify Successful Configuration
- Initiate a test query containing keywords for a specific education segmented track, and check if the returned results reference research report content from the specified publishing entity.
- Review workflow logs to confirm that an HTTP request step was executed when the dialogue was triggered, with no timeout error records.
- Check if the frontend calling interface's domain name has been added to the
corsAllowOriginsconfiguration list, with no cross-origin interception logs. - View the token consumption statistics panel to confirm that the statistics logic includes token counts for research report segmented texts and cumulative context.
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.