What this category of data looks like
Typical entities include civil affairs bureau assistance sections, subdistrict and township civil affairs offices, community committees, and verification centers. Daily documents include minimum living security application forms, family economic status verification reports, household investigation forms, democratic review records, public notice materials, and assistance approval forms. Data is sourced from the low-income population dynamic monitoring platform, resident family economic status verification system, and shared data from public security, human resources and social security, medical insurance, housing construction, and tax authorities. Update frequency is monthly. Core data fields include family income, property values, member relationships, and information related to assistance qualifications. Data formats vary across different sources, leading to heterogeneity.
Constraints for Knowledge Base Retrieval and Recall
This category of data comes from multi-department shared sources, so a knowledge base must integrate heterogeneous data. The retrieval link must support associated recall of multi-source data. The monthly update frequency requires an incremental synchronization mechanism for the knowledge base, to avoid excessive resource usage from full parsing. Document types include structured forms and unstructured records. Chunking rules must adapt to different document structures to ensure the integrity of core fields. Errors may result in incorrect or missed assistance security, recovery of assistance funds, or public complaints. Therefore, retrieval and recall accuracy must be strictly controlled. Prioritize matching core business fields such as family economic status and member relationships, and avoid interference from irrelevant data.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | This category primarily matches family economic status and member relationships. A threshold that is too low will introduce irrelevant verification data, while a threshold that is too high may miss valid matching items |
limit | Top 8 entries | This category requires coverage of multi-dimensional verification data. Too many results will exceed the context length limit of 8000–12000 tokens, while too few results will fail to cover complete business dimensions |
usingReRank | Enabled | Cross-department data has heterogeneity. Reranking can improve the matching priority of core fields such as family income and member relationships |
datasetSearchUsingExtensionQuery | Enabled | Minimum living security audit requires association with family dynamic monitoring data. Extended queries can supplement context-related information and improve recall accuracy |
searchMode | Semantic retrieval | The core requirement of this category is semantic matching of family status and assistance qualifications. Semantic retrieval is better than pure keyword matching |
collectionIds | Configured per department/community exclusively | Assistance data for different entities must be isolated to ensure business data security and compliance |
Three Common Misconfigurations
- Phenomenon: Slow operation xxxxms logs persist during knowledge base file parsing, with MongoDB response delay. Cause: No incremental synchronization configured for monthly updated cross-department data, leading to excessive database load from full parsing.
- Phenomenon: Some files do not generate question-answer pairs, and raw text is written directly to the knowledge base. Cause: No applicable chunking rules configured for structured documents such as minimum living security application forms and verification reports, so chunking fails to trigger question-answer generation logic.
- Phenomenon: insufficient_quota error or upstream load saturation prompt is returned when calling the retrieval interface. Cause: Group quota not adjusted based on daily retrieval frequency requirements of this category, resulting in resource shortage in high-concurrency scenarios.
How to Confirm Configurations Are Correct
- Manually upload a family economic status verification report, and verify that retrieval results prioritize matching core fields such as family income and member relationships.
- Check knowledge base synchronization task logs, and confirm that the monthly incremental update process runs normally with no full parsing exceptions.
- Simulate multi-user concurrent retrieval, check for load-related errors, and confirm that quota configuration meets business requirements.
- Test question-answer generation for structured documents, and confirm that core business information in the documents can be extracted correctly.
The values provided here 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.