What the data for this category looks like
The data for this category primarily comes from daily business documents of entities including civil affairs bureau relief departments, subdistrict or township civil affairs offices, community neighborhood committees, and verification centers. These documents include minimum living allowance application forms, family economic status verification reports, household survey records, democratic appraisal records, public notice materials, and relief approval forms. Data sources are the low-income population dynamic monitoring platform, resident family economic status verification system, and cross-department shared data from public security, human resources and social security, medical insurance, housing and urban-rural development, and tax authorities. The update frequency is monthly. Core fields cover business-related content such as family income, property status, and member relationships.
What constraints these characteristics impose on the vector models and indexes link
The requirement for monthly updated data means the vector database must support regular incremental synchronization to avoid performance losses caused by full reconstruction. Cross-department shared data has format differences, so a unified text preprocessing process must be completed before indexing. Sensitive business fields such as family income and property status require that the vector model and index link be paired with permission verification logic to ensure compliance with data access regulations. Document types include forms, reports, and unstructured household survey records. Differences in semantic density across different documents will affect the selection of chunking strategies. The strong semantic correlation of core business fields clearly puts forward requirements for the semantic matching accuracy of the vector model.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the text density of family economic status verification reports and household survey forms, balancing semantic integrity and chunking efficiency |
| Overlap Length | 100–200 characters | Avoids business semantic breaks across chunks, ensuring semantic coherence of core fields such as family income and member relationships |
| Similarity Threshold | 0.75–0.85 | Meets the rigor requirements for eligibility determination in minimum living allowance review work, reducing the risk of incorrect or missed eligibility determinations |
| Single Search Limit | Top 10 entries | Covers multi-dimensional supporting materials required for family economic status verification, while controlling retrieval resource consumption |
defaultToken | 8192 | Adapts to the total length of multiple spliced business documents, meeting the needs of multi-document associated queries in the approval process |
maxToken | 16384 | Reserves sufficient context space to handle complex associated queries of cross-department shared data |
Three common mistakes
- The symptom is that add or delete operations on the vector database cannot be performed directly through third-party management tools, and non-root users have no access permissions. The cause is that fine-grained permissions are not configured for multiple civil affairs business handling roles, and the default single-user setting is reused directly.
- The symptom is that an access denied error is returned when calling the vector model, and the curl test runs normally. The cause is that the deployment domain name of FastGPT is not added to the access whitelist of the vector service, or the request header lacks correct authentication parameters.
- The symptom is that duplicate family income verification entries still exist after index merging. The cause is that deduplication rules are not configured for the core fields of family economic status reports, and merging is performed only based on full text.
How to confirm the configuration is correct
- Initiate a search targeting the core fields of the minimum living allowance application form, and verify that the chunk length of the returned results falls within the preset range.
- View the vector synchronization logs to verify that the monthly incremental update task is executed as scheduled and there are no format conversion errors.
- Check the permission configuration items to confirm that vector database access permissions that meet civil affairs business handling roles have been configured.
- Trigger an index merging test to verify that the deduplication rules have been bound to the core business fields of this category.
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.