What the data for this category looks like
The typical data for this category comes from the dual random inspection and public disclosure regulatory platform, enterprise credit information disclosure system, industry supervision systems, and law enforcement officer directory. The update frequency is monthly. Daily documents include types such as inspection plans, inspection target lists, inspection item lists, on-site inspection records, rectification notices, and inspection result public notices. Each document contains standardized fields including regulatory subjects, unified social credit codes of inspection targets, inspection item entries, and law enforcement officer information. There are no custom non-standard fields.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The monthly updated data source requires the knowledge base synchronization cycle to match the monthly update rhythm, to avoid data lag affecting law enforcement accuracy. The multi-type document structure requires dividing the dataset by document category, to avoid invalid cross-category recall. Standardized fields support precise retrieval, but colloquial questions from law enforcement officers may not match standard field names, so query expansion optimization is needed. The maintenance time-consuming nature of inspection target and item databases requires the retrieval link to reduce redundant results, prevent law enforcement officers from processing excessive irrelevant information, and avoid non-compliant inspection target extraction or missed result disclosure caused by recall errors.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Balance precise recall of inspection targets and regulatory items, avoid mismatching unrelated subjects or items |
limit | Top 10 entries | Adapt to the daily task volume handled by law enforcement officers, reduce cognitive burden |
searchMode | keyword+vector | Match both keyword names of inspection items and semantic descriptions of on-site inspections |
usingReRank | Enabled | Re-sort recall results by relevance, ensure core regulatory content is displayed first |
datasetSearchUsingExtensionQuery | Enabled | Expand colloquial questions from law enforcement officers into standard regulatory terminology, cover more relevant documents |
collectionIds | Bind dedicated datasets such as inspection plans and inspection target databases | Avoid recalling irrelevant cross-category regulatory documents, improve retrieval precision |
Three common configuration errors
- Phenomenon: The summary content returned by the large model is concise and does not include specific inspection item clauses or target information. Cause:
datasetSearchUsingExtensionQueryis not enabled, and the complete content output rule for recall results is not configured, only abstract information is extracted. - Phenomenon: The single knowledge base search takes more than 30 seconds, and page loading is slow. Cause: The
limitparameter is not set, too many irrelevant dataset contents are recalled, and the re-ranking optimization process is not enabled. - Phenomenon: The search result sorting does not change after configuring
usingReRank. Cause: The corresponding re-ranking model service is not bound, or the re-ranking model's call parameters do not match the output dimension of the current vector model.
How to confirm the configuration is complete
- Access the FastGPT v4.17.0 backend, view the knowledge base binding configuration, and confirm that
collectionIdsincludes all regulatory-related document collections. - Initiate a test query, enter questions commonly used by law enforcement officers, and verify that the
similarityscore of returned results falls within the preset range, and the number of results matches thelimitsetting. - Compare search result sorting before and after enabling
usingReRank, and confirm that the display order of core regulatory items has been reasonably adjusted. - Test colloquial questions, and confirm that
datasetSearchUsingExtensionQuerycan convert daily expressions into retrieval keywords matching regulatory documents.
Note: The configuration values listed here are common starting points. They should be evaluated against specific use case samples from the relevant deployment.
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.