What data in this category looks like
Data in this category primarily comes from local public data open platforms, integrated big data platforms, departmental business databases, and electronic credential repositories. It is maintained by entities such as big data bureaus and government service data management bureaus. Daily documentation includes public data resource catalogs, data open lists, data item descriptions, desensitization rules, interface documents, and update frequency explanations. Core fields cover data item names, open conditions, desensitization requirements, interface addresses, and update cycles. Data is updated once per month, uses a structured format, and includes clear authorization boundaries and sharing rules.
What constraints do these characteristics impose on the citation and traceability workflow
The characteristics of this category of data impose three core constraints on the citation and traceability link. First, the monthly update frequency requires traceability systems to match the synchronization cycle to avoid citing outdated catalog content. Second, multi-source data must clearly mark its affiliated platform and department during traceability to prevent confusion between identically named data items from different sources. Third, structured fields and clear authorization boundaries require traceability to bind to specific data entries, ensure cited content aligns with actual open rules, and avoid the risk of desensitized information leakage.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Matches the average content length of public data catalog documents |
responseData | Structured metadata + original text snippets | Displays both data item sources and specific open rules |
detail | Enabled | Fully displays the authorization boundaries and desensitization requirements for data openness |
| Knowledge base sync cycle | 1 time per month | Matches the monthly update frequency of category data |
| Citation source identification rule | Include platform name + data item ID | Differentiates public data entries from different sources |
| Single recall limit | Top 6 entries | Avoids excessive information interfering with question-and-answer accuracy |
Three Common Mistakes
- When dynamically specifying a knowledge base, the citation variable options for the knowledge base selection component are empty. This occurs because the variable mapping rule for the corresponding knowledge base has not been configured in the system, or the variable type does not match the component requirements.
- Different public data entries cannot be distinguished in system logs. This occurs because a unique source identifier such as a platform ID or data item number has not been added to the citation markup.
- The large language model outputs forged citation IDs. This occurs because the knowledge base has not assigned a unique traceability identifier to each data entry, or the citation matching logic does not bind to specific data entries.
How to Verify Proper Configuration
- Submit a policy basis question-and-answer request, and check whether the returned results include clear source annotations such as data open platform names and data item numbers.
- Review system logs to confirm that each citation carries a unique source identifier, allowing differentiation between data entries from different departments or platforms.
- Manually modify the update content of one public data catalog, trigger the knowledge base synchronization, and verify that the question-and-answer results will synchronize updated citation source information.
- Test the dynamic knowledge base specification function, confirm that citation options for the corresponding knowledge base can be loaded normally after selecting a variable.
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.