What this category of data looks like
Typical entities are law enforcement agencies such as market supervision and ecological environment departments. Daily documents include on-site inspection records, interrogation transcripts, evidence lists, administrative penalty decisions, and similar materials. The party building learning Q&A scenario requires linking law enforcement regulations with case handling practical operations. Data sources include administrative law enforcement case handling systems, law enforcement recorder footage, the National Enterprise Credit Information Publicity System, and departmental supervision databases. Updates occur daily. The document structure centers on illegal fact determination, penalty basis, and discretionary benchmarks. Fields include law enforcement subject, involved subject, illegal circumstances, penalty decision, and no additional custom unit fields.
Constraints for Source Citation and Traceability
Law enforcement scenario documents have diverse types and professional content. Party building learning Q&A must accurately match illegal facts, penalty basis, and party building-related law enforcement regulations. As a result, citation traceability must cover associated documents from multiple sources. Daily updated data requires traceability configuration to support real-time or high-frequency refreshes. This ensures cited content aligns with the latest case handling data and party building learning materials. Compliance requirements for case file review and administrative reconsideration mean citations must accurately point to specific document paragraphs, not make vague associations. Citations must also include complete source metadata. Long documents require chunking rules that preserve semantic integrity. This avoids splitting critical case handling logic.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Individual documents for administrative penalty case files have relatively long content, and sufficient citation context must be retained to match the association logic between case handling and party building learning |
detail | Enabled | Specific cited document paragraphs and source identifiers must be returned to meet compliance verification requirements for law enforcement case file traceability and party building learning |
responseData | Include source metadata | Law enforcement scenarios require association with document metadata such as generation time and affiliated case handling system to facilitate subsequent archiving and content traceability for party building learning |
| Single search limit | Top 6 entries | Evidence chains for law enforcement case handling usually include multiple associated documents, and the main evidence sources and party building-related law enforcement regulation content must be covered |
| Reranking | Enabled | Document content directly related to illegal facts and penalty clauses must be prioritized to improve the practical reference value of party building learning Q&A |
| Question optimization | Calibrated based on actual testing | Question expressions in law enforcement scenarios mostly contain professional terminology, and optimization is required to match case handling documents and party building learning materials in the knowledge base |
Three Common Mistakes
- Symptom: Embedding FastGPT via iframe does not display cited content. Cause: The
responseDataconfiguration item is not enabled, or the front end does not correctly bind the rendering logic for cited data. - Symptom: After dynamically passing knowledge base variables, the AI response does not match the cited documents. Cause: The dynamic variable is not correctly associated with the knowledge base search configuration, or the
detailparameter is not enabled to return matching results. - Symptom: Critical case handling information is lost after long document chunking. Cause: Only title hierarchy is used as a delimiter, and chunking rules are not adjusted based on the paragraph semantics of law enforcement documents.
How to Confirm the Configuration is Complete
- Call the API interface and check whether the returned results include the citation detail content corresponding to the
detailfield. - Enter a party building learning question related to law enforcement case handling and check whether the returned results display the associated document source identifiers.
- Upload a typical administrative penalty decision document and verify that the search matching results accurately point to the corresponding paragraphs of this document.
- View the FastGPT v4.17.0 configuration page and confirm that the value of
quoteMaxTokenmeets the document length requirements of the current business.
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.