What the data for this category looks like
This category's data primarily comes from the road transport administration system, the national public service platform for dynamic information of road transport vehicles, and the vehicle and practitioner database. It updates automatically every day. Daily documents include business license application materials, vehicle technical files, driver qualification materials, work safety management systems, and original and duplicate copies of road transport business licenses. Data fields include license number, vehicle identification number, qualification certificate number, safety system clauses, site condition descriptions, and other items. There are no unified fixed non-standardized fields. Some documents require data from multiple systems to generate.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Daily updated data sources require the retrieval pipeline to support incremental synchronization and scheduled full refresh. This prevents data lag from delaying approval efficiency. Mixed storage of multiple document types requires the retrieval model to adapt to both structured field matching and unstructured text semantic recall logic. Documents for frequently verified vehicles, personnel, and safety systems need elevated weight priority during the recall phase. Differences in data formats from multiple sources require the preprocessing link to unify field mapping rules. This avoids empty fields or matching deviations during retrieval. The party building learning Q&A scenario requires retrieval results to cover both policy statements and practical approval workflows. This prevents content deviations.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.72–0.80 | Semantic similarity threshold for matching road transport business licensing related text. This range filters low-relevance non-approval party building content, while retaining precise matching results required for admission review |
limit | Top 12 entries | Maximum number of documents retrieved per single call. This adapts to the scale of reference documents required for single verification during the approval process, avoiding context overload |
usingReRank | Enabled | For multi-source mixed document data, reranking corrects initial retrieval order deviations. It prioritizes displaying recently updated licensing related documents |
searchMode | hybrid | Combines semantic retrieval and keyword retrieval. This adapts to mixed retrieval needs for structured fields and unstructured text, covering multiple document types such as license applications and vehicle files |
datasetSearchUsingExtensionQuery | Enabled | For party building learning Q&A scenarios, automatically expands relevant policy statements to match implicit requirements in road transport approval processes |
collectionIds | Bind a dedicated road transport business licensing dataset with a capacity no larger than 1000 MB | Isolates party building learning knowledge bases from other categories, avoiding cross-category content interference with approval related retrieval |
Three common configuration errors
- Symptom: After performing a full index rebuild, some updated vehicle technical file data fails to sync to the knowledge base. Cause: No daily incremental sync trigger rule is configured. Only manual full rebuilds are used, which cannot cover daily updated dynamic data.
- Symptom: Outdated work safety management system documents appear ahead of new documents in retrieval results. Cause: The
usingReRankfunction is not enabled, or no reranking rule for sorting by update date is set. This causes date weight for homogeneous content to not take effect. - Symptom: Retrieval results include a large volume of non-road transport business licensing party building content. Cause:
collectionIdsis not configured correctly. Cross-category knowledge base collections are bound, leading to expanded retrieval scope.
How to confirm configurations are correct
- View the knowledge base sync logs. Confirm that updated data pulled daily from the road transport administration system and vehicle dynamic platform has successfully generated indexes.
- Input test queries containing "driver qualification" and "safety system". Check that the top 3 retrieval results are documents from this category.
- Submit a test dataset containing two versions of work safety management systems, one old and one new. Verify that the document with the more recent update date appears first after reranking.
- Check the retrieval configuration panel. Confirm that
collectionIdsonly binds the dedicated road transport business licensing dataset, with no cross-category collections included.
The values provided here are common starting points, and should be evaluated 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.