Administrative Consultation and Response for Medical Institution Supervision and Public Health Inspection: Knowledge Base Retrieval and Recall

Administrative Consultation and Response for Medical Institution Supervision and Public Health Inspection: Knowledge Base Retrieval and Recall

Reference only; verify against the target FastGPT release and deployment documentation.

What This Category of Data Looks Like

Data for this category comes from health supervision information systems, medical institution electronic registration systems, complaint reporting platforms, and law enforcement inspection records. The update frequency is monthly. Daily processed documents include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, and penalty case files. Most individual documents contain fields such as the institution’s unified social credit code, practice scope, inspection time, rectification requirements, and penalty basis. There are no fixed universal units. Some documents are structured forms, while others are unstructured law enforcement records.

Monthly updated data requires a stable incremental synchronization mechanism to avoid full re-pulling that consumes system resources. In scenarios with mixed document types, chunking rules for structured forms and unstructured law enforcement records must be distinguished to ensure that associated fields are not lost during retrieval. Documents such as penalty case files and rectification notices involve compliance judgments. Retrieval results must accurately match core fields such as qualifications and inspection items, and irrelevant results must not appear. Associated retrieval of complaint reporting data and law enforcement records requires support for cross-data source field association recall. This ensures that consultation responses cover closed-loop information for reporting and rectification.

Configuration Parameters

Configuration ItemRecommended SettingRationale
similarity0.75–0.85Matches core compliance fields such as institution qualifications and inspection items, filters low-relevance results
limitTop 8 entriesCovers core documents such as individual penalty case files and rectification notices, controls total context length
searchModeSemantic retrievalAdapts to mixed retrieval scenarios of structured forms and unstructured law enforcement records
usingReRankEnabledRe-ranks recall results by compliance relevance, prioritizes content related to practice qualifications and rectification requirements
datasetSearchUsingExtensionQueryDisabledThis category of data consists of fixed compliance documents, no extended query terms are needed to avoid introducing irrelevant content
collectionIdsBound to a dedicated health supervision knowledge base collectionIsolates health supervision data from other category data to ensure precise retrieval scope

Three Common Misconfigurations

  • Phenomenon: Retrieval results include content unrelated to medical institution qualifications, or the system generates responses not mentioned in the knowledge base. Cause: The similarity threshold is set too low, or usingReRank is not enabled to filter recall results by relevance.
  • Phenomenon: Retrieval results lack core fields such as the institution’s unified social credit code and rectification deadline. Cause: Metadata is not synchronized during knowledge base import, or associated fields between law enforcement records and practice licenses are not correctly linked.
  • Phenomenon: The number of documents returned in a single retrieval is insufficient to cover complete supervision and inspection closed-loop information. Cause: The limit parameter is set too small, and the number of associated documents for individual penalty case files is not matched.

How to Verify Successful Configuration

  • Upload a single medical institution practice license and supervision opinion, initiate a keyword search containing the institution name and inspection items, and verify that the returned results cover all relevant documents for that institution.
  • View retrieval logs to confirm that the similarity score of recall results falls within the 0.75–0.85 range.
  • Check knowledge base settings to confirm that usingReRank is enabled and collectionIds is bound to a dedicated health supervision collection.
  • Initiate a search with no matching keywords, confirm that the system returns a no-results prompt and does not generate automatic response content.

The values provided are common starting points and should be measured against deployment-specific 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.