What the data for this category looks like
This category covers business documents including audit notices, inspection work papers, suspicious item lists, interview records, handling decision documents, rectification reports, and more. Data primarily originates from medical insurance intelligent monitoring systems, fund supervision rule bases, medical insurance settlement data, drug and consumable traceability codes, and complaint clues. The update frequency is monthly. The data structure centers on business process nodes, and includes fields such as audit object information, suspicious point descriptions, associated settlement details, and rule matching results. There is no unified fixed unit, and values change based on the specific content of individual business data.
What constraints these characteristics impose on the citation source and traceability link
The monthly update frequency requires the index construction and update cycle of the citation traceability link to align with the monthly rhythm. This prevents frequent full synchronization from occupying excessive resources. Mixed use of multiple types of business documents requires the traceability link to support precise matching and positioning across document formats. Associated requirements across multiple data sources need to ensure each traceability result clearly maps to specific sources such as medical insurance intelligent monitoring systems, settlement data, or rule bases. Additionally, the time required to retrieve medical records and settlement records during the audit process requires traceability return results to directly link to specific business nodes. This reduces the time cost of secondary retrieval.
How to set configurations
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the paragraph length of audit documents, avoids splitting that disrupts business logic |
| Similarity Threshold | 0.75–0.85 | Differentiates compliant and suspicious data, meets the strictness requirements of supervision scenarios |
| Single Search Limit | Top 10 results | Covers the associated data volume of common audit suspicious points, avoids result redundancy |
| Context Length | 2000–3000 tokens | Ensures complete traceability content, supports citation display for long documents |
| Return Original Data | Enabled | Mandatorily returns associated original data fields to meet traceability requirements |
| Display Details | Enabled | Displays specific content fragments of original documents, facilitates audit personnel verification |
Reference only; verify against the target FastGPT release and deployment documentation.
Three common misconfigurations
- Phenomenon: The question-and-answer page displays associated source data, but the final answer does not show citation sources. Cause: The
responseDataconfiguration is not enabled, or the context length is set too small, resulting in truncated traceability content. - Phenomenon: The service does not respond for a long time after startup. The console displays a timeout status code. Cause: The monthly update frequency is not adapted. Overly frequent full index synchronization tasks are set, which occupy too many system resources.
- Phenomenon: The returned audit conclusion does not link to specific settlement data or medical records. Cause: The
detailconfiguration is not enabled. Only rule matching results are returned, and specific fragments of original documents are not displayed.
How to confirm configurations are correctly set
- Submit an audit suspicious point query. Check whether the returned results include associated original document fragments, and whether the content length meets business requirements.
- View the configuration panel. Confirm that settings such as chunk length, similarity threshold, and single search limit match the preset configurations.
- Trigger a monthly index update. Verify that the update cycle meets business requirements, and no abnormal errors occur.
- Simulate multi-layer question interaction. Confirm that the system can gradually link to corresponding traceability data, with no lag.
The values provided here are common starting points. They should be evaluated 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.