What this category of data looks like
Data for this category comes primarily from public policy documents issued by education regulatory agencies, public reports on institutional discipline construction, bidding data from the education equipment industry, industry white papers from authoritative education research institutions, and public operational information from education-related entities. Policy documents are updated quarterly or for special events. Industry white papers are released annually. Bidding data is updated monthly. Document structures include fixed metadata such as document number, issuing authority, and effective date. Some reports include survey sample descriptions and statistical modules. Fields include applicable education stage, budget amount, and winning bid cycle. Corresponding units are education stage, ten thousand yuan, and calendar days.
Constraints imposed on multi-turn dialogue and prompt engineering
The characteristics of this data impose multiple constraints on multi-turn dialogue and prompt engineering. First, metadata fields vary significantly across document types. Prompts must clearly distinguish extraction rules for policy texts, bidding data, and industry reports to avoid mixing field information from different categories. Second, policy and bidding data have strong timeliness requirements. Multi-turn dialogue must limit the valid duration of the context window to prevent calling expired policy content or outdated bidding results. Third, some industry reports include survey sample descriptions. Dialogue must support full context traceback to respond to follow-up questions about sample details. Fourth, structural differences across documents require prompts to adapt to different content parsing logic. A single template cannot cover all categories of data.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Education service investment research data includes multiple document types, requiring sufficient context association information while adapting to mainstream large model context window limits |
recallTopK | Top 6–8 entries | Education investment research data is scattered with diverse fields; appropriate recall volume covers multi-dimensional information and avoids redundant content interfering with dialogue |
simThreshold | 0.75–0.85 | Must distinguish between old and new versions of education policies and similar budget ranges for bidding projects to avoid retrieving irrelevant content |
contextExpireTime | 3600 seconds | Education policy update cycles are mostly quarterly; this duration prevents calling outdated content while maintaining session coherence |
promptTemplate | Match parsing rules by document type, prioritize extracting user-specified fields | Education investment research data has significant structural differences; different parsing logic must be adapted for policies, bidding, and industry report types |
streamResponse | Enabled | Education investment research content is often lengthy; streaming output improves interactive experience and meets real-time requirements for API calls |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: The workflow terminates after reaching the knowledge base search or AI dialogue step, and cannot complete subsequent processes. Cause: The
contextExpireTimeparameter is not configured. Session context is cleared due to timeout, and the retrieval keywords required for subsequent steps cannot be passed. - Phenomenon: The API's dialogue interface only returns a complete static response, with no streaming output effect. Cause: The
streamResponseconfiguration item is not enabled, or the streaming data receiving logic is not configured as required. - Phenomenon: Extracted fields in multi-turn dialogue do not match the actual document content, such as confusing the policy effective date with the bidding winning cycle. Cause: The
promptTemplateis not configured by document type, and the prompt does not clearly distinguish field extraction rules for different documents.
How to confirm correct configuration
- Initiate a test query with multi-turn context, check whether the dialogue response includes the latest policy information and corresponding metadata, and confirm that the context has not been cleared prematurely.
- Call the API interface to test streaming output, check whether the response is returned in character-by-character segments, and confirm that the
streamResponseconfiguration item is enabled. - Upload different types of education service investment research documents, initiate field extraction queries, check whether the returned results match the field rules of the corresponding documents, and confirm that the
promptTemplateconfiguration is reasonable. - View the workflow execution log, confirm that the session context transmission link is complete, with no mid-process interruptions or parameter losses.
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.