What Data for This Category Looks Like
Data for this category originates from social insurance management systems, tax social insurance premium collection systems, market entity registration information, and public security and civil affairs data sharing interfaces. Common documents include enrollment registration forms, payment base declaration forms, personnel change forms, social insurance premium verification notices, and personal benefit records. Most are structured forms or reports. Fields cover unit unified social credit code identifiers, personnel identity information, payment calculation parameters, personnel change status, and more. Data is updated daily, with real-time synchronization required across multiple business systems.
Constraints for Multi-turn Dialogue and Prompt Engineering
The daily updated data from multiple departments requires multi-turn dialogue to link to the latest business data in real time, to avoid using expired information. The field rules for structured documents require prompts to explicitly specify precise fields such as unit unified social credit codes and personnel ID numbers, to avoid result deviations from fuzzy searches. The sensitivity of personnel change and payment data requires sessions to isolate user contexts via chatId, to prevent data leaks. The need for cross-system reconciliation requires dialogues to link multiple knowledge bases for data cross-verification, with multi-source retrieval trigger logic configured. The business process of gradually verifying identity and labor relations requires multi-turn dialogue to retain historical conversation context, to avoid repeated questions.
Configuration Settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Session context retention duration | 7200 seconds | The business process for enrollment registration and payment verification involves cross-step verification, so historical conversation context within 2 hours must be retained |
| Multi-knowledge base association switch | Enabled | Cross-verification of data from social insurance management and tax collection data sources is required |
| Historical conversation reference range | First 20 messages | Multi-turn dialogue needs to gradually pass personnel identity and change information, retaining sufficient context to avoid repeated questions |
| Global variable storage configuration | Bound to variables global storage | Fixed business parameters such as unit unified social credit codes must be retained, avoiding repeated input for each session |
| Knowledge base retrieval trigger threshold | Calibrated via actual testing | Precise field matching for structured documents is required, to avoid irrelevant results interfering with policy basis Q&A |
| Single retrieval result limit | Top 10 entries | Social insurance-related document volume is manageable; excessive results will increase retrieval time |
Three Common Misconfiguration Issues
- Phenomenon: Some sessions trigger knowledge base retrieval, while others generate responses directly without retrieval logs. Cause: Mandatory retrieval trigger rules are not configured. The system skips retrieval when context matching confidence is high.
- Phenomenon: Temporary variables in a session are cleared in new rounds, making fixed business parameters such as unit unified social credit codes unavailable. Cause: The
variablesglobal storage configuration is not used, only session temporary variables are used. Temporary variables are overwritten as conversation rounds progress. - Phenomenon: Retrieval time increases as the number of questions in the same conversation window rises. Newly initiated sessions return to normal response times. Cause: The number of retained historical conversations is not limited. Excessively long
messagescontext causes each retrieval to load large volumes of historical data, increasing processing time.
How to Verify Proper Configuration
- Initiate a query that includes a unit unified social credit code, verify that returned results link to corresponding documents such as enrollment registration forms and payment verification notices.
- Initiate cross-round queries, verify that the system automatically references personnel identity information from historical conversations, eliminating the need for repeated input.
- Check the session variable storage panel, confirm that global parameters in
variablesare not modified or cleared as conversation rounds progress. - Initiate multiple consecutive rounds of queries, observe that retrieval time remains stable with no significant increase.
The values given are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.