What the data for this category looks like
Data sources for this category include the Chinese Center for Disease Control and Prevention Information System, hospital HIS systems, infectious disease reporting systems, and laboratory testing systems. Daily documents cover infectious disease report cards, epidemic analysis reports, case correction records, clustered epidemic reports, and epidemiological investigation reports. Data updates occur daily. Document structures include both structured fields and unstructured text. Core fields include case diagnosis, reporting time limit, correction flag, clustered epidemic level, and others. Heterogeneous data from multiple sources demands adaptive processing, and no unified fixed format exists.
What constraints these characteristics impose on knowledge base retrieval and recall workflows
Heterogeneous data from multiple sources requires retrieval to support both structured field matching and unstructured semantic recall. This prevents missing core information with a single recall method. Daily update frequency requires the indexing mechanism to adapt to incremental sync rhythms. This avoids excessive resource usage from full indexing. Precise matching for core business fields requires retrieval results to prioritize content related to legal reporting requirements such as case diagnosis and reporting time limit. Otherwise, there is a risk of missed or delayed reporting. Differences in business priority across document types require retrieval results to sort by urgency. This ensures case correction records and clustered epidemic reports reach office staff first. Verification of correction records and duplicate or incorrect cards is a core time-consuming task. Retrieval must accurately locate abnormal records, so higher precision is required for recall.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the precision requirement for core business fields, filters low-relevance non-target documents |
limit | Top 10 entries | Controls the number of returned results to avoid information overload in office scenarios |
searchMode | vector+keyword hybrid mode | Adapts to the dual matching requirements of structured fields and unstructured text for heterogeneous data |
usingReRank | Enabled | Re-ranks recall results by business relevance, ensuring high-priority case corrections and epidemic reports are displayed first |
datasetSearchUsingExtensionQuery | Enabled | Adds professional semantic expansion related to legal infectious disease reporting, improving matching accuracy for technical terms |
collectionIds | Bind to internal office knowledge base collections | Limits retrieval scope to compliant internal documents, avoiding irrelevant results across collections |
Reference only; verify against the target FastGPT release and deployment documentation.
Three Common Mistakes
- Persistent indexing in progress status after knowledge base upload: After uploading infectious disease-related documents, the background indexing status does not update for a long time. The cause is failure to adapt to daily update data rhythms, configuring an overly long full indexing cycle, and not enabling the incremental index trigger mechanism.
- Abnormal retrieval result sorting: A result with a similarity score of 1.2717 ranks lower than a result with a score of 0.5208. The cause is not enabling
usingReRank, relying only on the original sorting of basic vector recall, and not adjusting weights based on business scenarios. - Failure to display knowledge base images in responses: When retrieving epidemiological investigation reports containing images, the response does not render image resources. The cause is not configuring the knowledge base image resource association retrieval switch, only recalling text content without associating bound image files.
How to Verify Correct Configuration
- Upload a test infectious disease report card, initiate a search containing case diagnosis keywords, and verify whether returned results prioritize matching target fields.
- View indexing status logs, confirm that the time taken for daily updated data sources to complete incremental indexing aligns with daily office business rhythms.
- Initiate a search containing technical terms related to legal infectious diseases, verify that relevant epidemic analysis reports and epidemiological investigation reports can be recalled.
- Upload an epidemiological investigation report with images, initiate a relevant search, and confirm that associated image resources can be rendered normally in responses.
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.