Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this category looks like
The business data sources involved in this category include road transport administration systems, the national public service platform for dynamic information of road transport vehicles, and vehicle and practitioner databases, with a daily update frequency. Daily processed documents include business license applications, vehicle technical files, driver qualification materials, safety production management systems, and road transport business licenses. The core fields of different documents vary significantly. For example, vehicle technical files need to include basic vehicle parameters, and driver materials need to mark qualification-related information. The overall document structure is strongly bound to the business approval process.
What constraints these characteristics impose on the source citation and traceability link
Since data sources are scattered and updated daily, the citation link must ensure retrieval covers multi-system data while keeping content consistent with the latest business status. The core fields of different documents vary significantly, so precise matching to the business scenario of each document is required to avoid invalid cross-document citations. The approval link has extremely high requirements for traceability accuracy. Incorrect citations or outdated data may lead to license rejection and enterprises being unable to operate. Therefore, it is necessary to strictly limit the citation scope and update frequency, and clearly mark source information to support verification.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Single documents related to road transport business licensing fall within the 800 to 1200 token range, preventing key information such as vehicle qualifications and practitioner qualifications from being truncated |
responseData | Enabled | Direct output of original knowledge base text fragments is required to meet the traceability needs of the approval link for verifying original materials |
| Single retrieval limit | Top 10 results | Covers multi-source data including road transport administration and vehicle dynamic platforms, balancing retrieval comprehensiveness and context length control |
| Data source sync frequency | Daily update | Matches the daily update frequency of business data to ensure cited content is consistent with the latest approval status |
detail | Enable source identification | Mark the document's affiliated system and update time in the output, meeting the traceability verification requirements of transportation approval |
Three common mistakes
- Phenomenon: The drafted content output by the AI does not include original knowledge base text fragments, only generated abstracts. Cause: The
responseDataconfiguration item is not enabled, and only processed content generated by the large model is returned, which cannot meet the traceability verification requirements. - Phenomenon: Retrieval results only cover a single data source and do not include information from the vehicle dynamic platform. Cause: The single retrieval limit is set too low, failing to meet the multi-source data retrieval requirements.
- Phenomenon: The cited vehicle annual inspection information does not match the latest status. Cause: The data source sync frequency is set higher than daily updates, resulting in cited outdated business data.
How to verify the configuration is correctly set
- Submit a query for drafting road transport business license application materials, check whether the output content includes original knowledge base text fragments.
- View the retrieval result list to confirm that at least two or more types of business data sources are covered.
- Verify that the update time of the cited content matches the daily update rhythm of current business data.
- Adjust the
quoteMaxTokenparameter to confirm that no core qualification information is truncated in the output.
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.