What the data for this category looks like
The entities involved in this category are the transportation bureau approval department, road transport management agencies, and transport enterprises. Daily processed documents include business license applications, vehicle technical files, driver qualification materials, safety production management systems, and road transport business licenses. Data sources are the road transport administration system, the national road transport vehicle dynamic information public service platform, and the vehicle and personnel database, with a daily update frequency. Document structures cover multiple formats such as application forms, qualification certificates, and management systems, and include core fields like vehicle information, personnel qualifications, and safety specifications.
What constraints do these characteristics impose on the "knowledge base retrieval and recall" link
The daily data update feature requires the knowledge base synchronization mechanism to adapt to frequently changing vehicle, personnel, and license information, to avoid recalling expired data. The mixed structure of multiple document types requires the retrieval link to be compatible with different text formats and field features, rather than only adapting to a single document type. The core verification link relies on precise matching of vehicle and personnel qualifications, requiring the semantic relevance of recall results to meet the strict standards of approval review. The need for association across multiple data sources requires the retrieval scope to cover multiple independent datasets, to avoid missing key information across systems.
How to set up configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Meets the strict requirements of approval scenarios, balancing recall accuracy and coverage |
limit | Top 6 entries | Matches the number of review materials for a single file review, avoiding context overload |
searchMode | hybrid | Combines semantic and keyword retrieval to cover structured fields such as vehicle numbers and qualification numbers |
usingReRank | Enabled | Performs secondary ranking on initial recall results to improve the display priority of highly relevant content |
datasetSearchUsingExtensionQuery | Disabled | Approval scenarios require strict matching of original material content, avoiding irrelevant information introduced by extended queries |
collectionIds | Fill in the actual bound road transport-related dataset IDs | Limit the retrieval scope to data sources associated with this category, reducing irrelevant results |
Three common misconfigurations
- Retrieval returns an empty result, with the interface prompting no matching knowledge base content. Cause: No applicable chunking rules were configured for qualification Q&A documents in single QA format, resulting in a mismatch between text chunks and query semantics.
- Cross-team application calls to the knowledge base return no relevant content, with the interface returning an empty result array. Cause: The
collectionIdsof the corresponding dataset were not correctly bound in the configuration, resulting in the retrieval scope not covering the target data source. - Recall results include expired driver qualification information. Cause: No daily automatic data source synchronization rule was configured, resulting in knowledge base data not being synchronized with official system updates.
How to confirm the configuration is properly set up
- Submit a standard road transport business license application query, and verify whether the recall results include core document fragments such as corresponding vehicle technical files and driver qualification materials.
- Adjust the value of the
similarityparameter, and verify whether the relevance of the recall results meets the strict requirements of approval review. - Check whether the
collectionIdsconfiguration includes all data source sets associated with this category, to avoid missing key data across systems. - Trigger a data source synchronization task, and verify whether the retrieval results are updated synchronously after data is updated.
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.