What the data for this category looks like
This category’s data mainly 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. The update frequency is daily. Daily documents include application materials for operation permits, vehicle technical files, driver qualification materials, safety production management systems, road transport operation permits, and more. The document structure covers modules such as business subject qualifications, vehicle and personnel information, safety management specifications, and permit application processes. Fields include the unified social credit code, vehicle license plate number, qualification certificate number, safety system clauses, and more.
Constraints Imposed by These Characteristics on the Knowledge Base Retrieval and Recall Link
The daily update feature of this category’s data requires the retrieval link to support incremental index updates, to avoid resource consumption from full index reconstruction. Multiple document types cover modules including qualifications, vehicles, personnel, and systems. Differences in fields across different documents require matching corresponding recall rules for each document type during retrieval. Data sources involve multiple government systems, so field consistency verification across systems must be ensured to prevent information deviation in recalled content. At the same time, verifying vehicles, personnel and safety systems is the core time-consuming step of the application process. Recalled content must accurately match the qualification and file information required for this step, to avoid irrelevant content interfering with approval judgments.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Meets the accuracy requirement for matching qualification and file content related to road transport operation permits, and avoids recalling irrelevant government documents |
limit | Top 8 entries | Covers core verification information across multiple modules including vehicles, personnel, and systems, and avoids excessive single-recall content exceeding the context window |
usingReRank | Enabled | Performs secondary sorting on recall results of multiple types of documents, to improve the ranking priority of key content such as safety systems and practitioner qualifications |
datasetSearchUsingExtensionQuery | Enabled | Optimizes user inquiries about application processes by adding scenario-specific keywords to match multi-source data |
searchMode | Hybrid vector retrieval + keyword retrieval | Adapts to the mixed structured and unstructured characteristics of multi-source data, balancing semantic matching and field accuracy matching |
Three Common Configuration Mistakes
- Phenomenon: After replacing the embedding model, the matching degree of retrieval results remains consistently low, with no obvious relevant business content recalled. Cause: The original knowledge base index was generated based on the old embedding model, and no index reconstruction operation was performed, causing the semantic matching logic to mismatch with the new model.
- Phenomenon: The number of single retrieval results fluctuates significantly, some queries return no results, and performance varies significantly across different storage solutions. Cause: No suitable vector storage solution was selected for the storage requirements of this category’s data, and configuration logic of different databases was mixed, leading to abnormal data reading.
- Phenomenon: After uploading a PDF of safety production management systems, the retrieved fragments cannot cover complete system clauses. Cause: Chunking and overlap parameters were not adjusted for long documents, causing key content to be truncated and unable to fully recall required safety system information.
How to Verify Correct Configuration
- Perform a single retrieval test by inputting "What materials are required for road transport operation permit applications", and check whether the recalled content includes the core content of the operation permit application document.
- Check the index update log to confirm that the daily incremental update task is running normally with no failed records.
- After switching to a different embedding model, perform an index reconstruction operation and verify that retrieval accuracy does not decrease significantly.
- View the ranking of retrieval results to confirm that the ranking priority of key content such as safety systems and practitioner qualifications meets expectations.
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.