What the Data for This Category Looks Like
Typical entities for this category are law enforcement agencies including market supervision, ecological environment, transportation, emergency management, and urban management. Daily documents include on-site inspection records, interrogation transcripts, evidence lists, prior administrative penalty notification letters, hearing notification letters, penalty decisions, and service receipts. Data sources are administrative law enforcement case handling systems, law enforcement recorder footage, the National Enterprise Credit Information Publicity System, and departmental supervision databases. Update frequency is daily. Most documents are structured law enforcement paperwork with fixed fields such as illegal facts, law enforcement procedures, and penalty basis, with no additional custom units.
Constraints Imposed by These Characteristics on the Knowledge Base Retrieval and Recall Process
Multiple data sources require that the retrieval scope be strictly limited to the exclusive dataset for administrative penalty cases, to avoid mixing irrelevant documents from other categories. The daily update frequency requires the retrieval pipeline to support real-time or near-real-time recall, to ensure the timeliness of ledger summary and report generation. The fixed field feature of structured law enforcement paperwork requires retrieval to accurately match core content such as illegal facts and penalty basis, to avoid generalized matching of irrelevant content. Additionally, the consequences of errors in case handling are directly linked to administrative compliance, requiring that the relevance and accuracy of recall results meet high standards, to ensure that key evidence is not missed or irrelevant content is not introduced.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Administrative penalty cases require high matching accuracy to avoid introducing irrelevant law enforcement records or non-core paperwork |
limit | 3–5 entries | Control the number of recall results, reduce context redundancy, and ensure that ledger summary and report generation focus on core evidence and penalty decisions |
searchMode | hybrid | Combine semantic vector and keyword matching to adapt to the diversity of law enforcement terminology and the field features of structured paperwork |
usingReRank | Enabled | Reorder recall results by relevance to ensure that core content such as illegal facts and penalty basis is prioritized for extraction |
datasetSearchUsingExtensionQuery | Enabled | Automatically expand law enforcement-related synonyms to adapt to synonymous law enforcement terms such as "on-site inspection" and "on-site verification", improving matching coverage |
collectionIds | Exclusive dataset ID for administrative penalty cases | Strictly limit the retrieval scope, avoid mixing documents from other categories, and ensure that recalled content is only related to administrative penalty cases |
Three Common Mistakes
- Phenomenon: Retrieval results include irrelevant documents from non-administrative law enforcement categories. Cause: The
collectionIdsparameter is not configured to limit the retrieval scope, resulting in cross-category data being recalled. - Phenomenon: Retrieval results do not carry chapter titles or metadata information of documents. Cause: The metadata parameter is not correctly passed to associate document attributes, or
datasetSearchUsingExtensionQueryis not enabled to extract document structure information. - Phenomenon: Reply content includes reference links from knowledge base documents. Cause: The reference link output configuration for retrieval results is not disabled, resulting in redundant link information being mixed into ledger summary and report generation.
How to Confirm Correct Configuration
- Check that the
collectionIdsparameter only includes the exclusive dataset ID for administrative penalty cases of this category, and confirm that no datasets from other categories are included in the retrieval scope. - Initiate a test retrieval for "penalty basis for a certain type of illegal case", and verify that the returned results include core content from on-site inspection records and penalty decisions.
- Confirm that the number of retrieval results matches the setting of the
limitparameter, with no excessive redundant content. - Verify that
usingReRankis enabled, and check whether the recall results are sorted with core content such as illegal facts and penalty basis prioritized. - Confirm that the retrieval pipeline of FastGPT v4.17.0 has been adapted to the document characteristics of this category.
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.