What the Data for This Category Looks Like
Data sources for this category include health supervision information systems, medical institution electronic registration systems, complaint and reporting platforms, law enforcement inspection records, and policy document libraries related to party building learning. Update frequency is monthly. Daily processed documents include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, penalty case files, party building learning policies, and training materials. Data fields cover institution qualification information, inspection item records, rectification requirements, and party building learning key points. The length of individual documents varies widely, ranging from several hundred characters of inspection records to several thousand characters of penalty case files and policy documents.
Constraints During Deployment and Upgrade
This category has scattered data sources with monthly updates. During deployment, adapt to data synchronization interfaces from multiple systems. Balance synchronization requirements for regulatory business data and party building learning materials. Avoid service lag caused by excessive single synchronization data volume. The range of document types is wide, from short entry inspection records to long-text penalty case files and party building policy documents. Configure targeted document processing logic to ensure retrieval accuracy for both types of content. Daily core processes involve qualification verification, rectification tracking, and party building learning Q&A. During deployment, prioritize matching the Q&A logic with fields from business documents and party building materials. During upgrades, synchronously update association rules in the knowledge base. Avoid situations where retrieval results do not match business requirements. Additionally, the fixed monthly update frequency requires configuring periodic knowledge base refresh tasks. Ensure Q&A content aligns with the latest regulatory information and party building policies.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Database maximum connections | 20–30 connections | This category has moderate monthly synchronization data volume. This value balances connection usage and concurrent processing capabilities |
| MongoDB connection address | Point to the self-built health supervision and party building material database address | Core business data and party building learning materials for this category are stored in the self-built database. Configure a dedicated connection address directly to ensure data reading efficiency |
| Redis cache address | Configure as the local cache service address. Set cache validity period to 7200 seconds | Used to cache frequently queried regulatory qualification information and party building key points. With a fixed monthly update frequency, this duration balances cache hit rate and data freshness |
| Single retrieval recall count | Top 10 | Adapts to the document retrieval needs of this category. Avoids slow response caused by loading excessive redundant data |
| Single synchronization data limit | 5000 entries | Adapts to the scale of monthly data updates for this category. Avoids service blocking caused by single synchronization |
Three Common Misconfigurations
- Symptom: The frontend has no response or crashes after calling the Q&A interface. System resources and Docker container load do not reach the upper limit. Cause: No reasonable value is configured for database maximum connections, leading to exhausted database connections and blocking subsequent request processing.
- Symptom: The interface displays
Invalid URL (POST /v1/rerank)error, and the reranking model cannot be called. Cause: The connection address of the reranking model is not configured correctly, or the corresponding port permission is not opened in the FastGPT environment. - Symptom: Q&A response takes too long, especially when querying long-text penalty case files or party building policy documents. Cause: No reasonable retrieval rules are configured for long documents in this category, leading to loading excessive redundant data.
How to Verify Successful Configuration
- Execute a manual data synchronization task. Check whether the latest supervision inspection forms, penalty case files, and current month's party building learning materials are successfully imported into the knowledge base.
- Initiate a query request related to party building policies. Confirm that the returned results contain the latest party building learning key points.
- Call the qualification query interface. Confirm that the returned results contain correct institution qualification field information.
- View Docker container logs. Confirm that the database connection count does not exceed the configured value. No connection timeouts or reranking model call errors are present.
The values provided 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.