What data for this category looks like
Data for this category comes from the national integrated government service platform item database, administrative licensing item list, departmental business approval systems, and electronic certificate database, and is updated daily. Daily documents include service guides, application forms, commitment letters, acceptance notices, correction notices, administrative licensing decision documents, license certificates, and more. Most structures include fields such as item basis, handling conditions, material lists, and approval processes. There is no unified fixed unit, and fields dynamically adjust based on different licensing items.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The daily data update requirement requires the knowledge base retrieval link to synchronize the latest administrative licensing item list and item database data, to avoid using expired legal basis that affects approval legality. Multiple document types, including structured lists, unstructured certificates and application materials, require adapting text parsing and matching logic for different formats to ensure retrieval accuracy across all document types. The dynamic adjustment of fields based on licensing items requires retrieval to flexibly match according to specific item dimensions, and cannot rely on fixed templates to achieve full coverage matching. The need for cross-departmental data association requires the recall link to support linked retrieval of cross-system data, covering business data from different approval departments to avoid missing proof materials required by cross-departmental requirements.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the legal basis and handling conditions of administrative licensing items, and must ensure that retrieval results are highly relevant to the application scenario to avoid low-relevance content interfering with the approval process |
limit | Top 8 entries | The materials and conditions for administrative licensing items are mostly structured entries. A small number of precise results can cover verification needs, and too many results will increase the review cost of document drafting |
searchMode | semantic | Adapts to semantic matching for multiple types of documents, and can accurately identify handling requirements and application material lists in service guides |
usingReRank | Enabled | Reranks the initial recall results, prioritizes content that best matches the current licensing item, and corrects deviations from semantic retrieval |
datasetSearchUsingExtensionQuery | Enabled | Performs reference resolution and question expansion for the application description submitted by the user, to clarify the specific licensing item and material requirements of the application |
collectionIds | Configure dedicated collections according to associated approval departments | Administrative licensing data is isolated by department and section, and must be bound to the knowledge base collection of the corresponding business system to ensure that the retrieval scope covers the approval data of the current department |
Three common mistakes
- Retrieval results return a large number of cross-departmental licensing item content that does not belong to the current department. The cause is that the dedicated knowledge base collection is not bound via
collectionIds, and the retrieval scope covers approval data from non-current departments, leading to matching irrelevant legal basis. - Ambiguity appears in retrieval results for application descriptions with vague references. The cause is that
datasetSearchUsingExtensionQueryis not enabled, and no reference resolution or question expansion is performed, making it impossible to clarify the specific licensing item of the application. - Too many retrieval results lead to additional screening required during document drafting. The cause is that the
limitconfiguration value is too large, and the number of results returned by a single retrieval is not controlled, increasing the burden of manual verification.
How to confirm the configuration is correct
- Submit a simulated licensing application description, verify whether the retrieval results cover the service guide and material list for the current item, and confirm whether the
similarityandlimitconfigurations meet the matching requirements of the current scenario. - View the retrieval log to confirm whether the expansion logic of
datasetSearchUsingExtensionQueryis triggered, and whether reference resolution and question expansion are performed on the application description. - Check the knowledge base synchronization status, confirm that the data update frequency meets the daily update requirement, and verify whether the knowledge base collection bound via
collectionIdsincludes the approval data of the current department. - After enabling
usingReRank, compare the result order before and after reranking to confirm that the reranking logic prioritizes content most relevant to the current application.
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.