What the Data for This Category Looks Like
Daily documents for this category include elderly care institution filing materials, operating subsidy application documents, service quality inspection forms, safety hazard rectification ledgers, and elderly admission records. Data is primarily sourced from elderly care service information platforms, civil affairs statistics systems, fire inspection records, and institution operation ledgers. The update frequency is monthly. Document fields typically include the institution’s unified social credit code, number of beds, inspection date, rectification time limit, and other items. Some archives include institution operation details and personal information. Data volume fluctuates naturally based on the number of service institutions in the jurisdiction.
Constraints on Knowledge Base Retrieval and Recall
Fixed-cycle incremental synchronization tasks must be configured for the knowledge base. Monthly updated data sources risk lag that impairs review efficiency. Multiple document types require the retrieval pipeline to adapt to different content formats. This ensures field matching works for structured inspection forms and semantic recall works for unstructured ledgers. Sensitive data related to institution operations and elderly personal information requires strict permission isolation rules for retrieval results. Only authorized personnel can access corresponding content. Fields cover multiple dimensions: institution qualifications, bed counts, inspection records, and more. Precise keyword matching aligned with business scenarios is needed. Irrelevant results will disrupt the review process.
How to Configure
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the business keyword precision for elderly care supervision scenarios, balancing recall completeness and result relevance |
limit | Top 6 entries | Adapts to the upper limit of materials to be checked in a single review, avoiding context overload that impairs reading |
searchMode | hybrid | Combines semantic recall and keyword matching to cover retrieval needs for structured fields and unstructured text |
usingReRank | Enabled | Performs secondary ranking on initial recall results to correct semantic deviations and improve the ranking priority of core content such as safety hazards and subsidy applications |
datasetSearchUsingExtensionQuery | Enabled | Automatically expands synonyms related to the business, such as associating "elderly care beds" with "institution beds", to cover terminology differences in supervision scenarios |
collectionIds | Knowledge base collections bound by jurisdiction | Isolates elderly care institution data from different jurisdictions, ensuring reviewers can only access documents from their corresponding jurisdiction |
Three Common Misconfigurations
- A 422 status code is returned when calling the API to generate review responses, with no issues detected in the knowledge base retrieval phase. Cause: The parameter format of the expanded query was not verified after enabling
datasetSearchUsingExtensionQuery, triggering an interface verification failure. - When calling the knowledge base Q&A API, only the model-generated response text is returned, with no attached cited source materials or specific passages. Cause: The citation return logic for retrieval results was not configured, causing the interface to not return detailed information about associated documents.
- The materials recalled during review do not include institution filing or safety inspection data updated in the current month. Cause: No monthly incremental synchronization task was set up, resulting in updated data sources not being synchronized to the retrieval knowledge base, causing data to lag behind business processes.
How to Confirm Proper Configuration
- Manually input a query term for a supervision scenario, such as "Filing materials and safety inspection records for a certain street’s elderly care institution", and verify whether the returned results include documents of the corresponding type.
- View the knowledge base synchronization logs to confirm that the monthly incremental synchronization task has executed normally according to the configured cycle, with no failed records.
- Test different types of query terms, such as the structured "number of beds" and unstructured "rectification ledger", to confirm that retrieval results cover corresponding document types.
- Check the API return results to confirm that they include model responses and cited document details, meeting business call requirements.
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.