What the data for this category looks like
The core data for this category comes from the regulatory and rule library, higher-level law database, departmental policy document library, and administrative normative document filing system. Daily processed documents include normative document drafts, drafting explanations, legality review opinions, solicited opinion summaries, and filing reports. Data updates follow no fixed cycle, and are added dynamically as policy development and filing processes advance. Data fields include document numbers, issuing entities, effective dates, article content, review opinions, and more. Units are typically document counts and article counts, with no fixed unified quantitative statistical unit.
Constraints Imposed on Knowledge Base Retrieval and Recall
Decentralized data sources and non-fixed update cycles require knowledge base recall to support synchronized retrieval across multiple data sources. This avoids missing the latest policy documents. Daily documents are mostly long texts with hierarchical article structures. Retrieval requires precise matching of article content, with a focus on hierarchical article details. The review link needs to compare against higher-level laws and authority basis. Recall results must strictly correspond to regulatory hierarchy, excluding non-higher-level law documents. Ledger summary requires associating review records from multiple documents. Retrieval must support filtering results by issuing entity and effective time. This ensures the completeness and accuracy of ledger data.
Configuration Settings
The following configurations follow the parameter setting rules for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the article association between normative documents and higher-level laws, avoids too low a value leading to irrelevant results, and too high a value missing compliant basis |
limit | Top 10 entries | Covers the number of commonly used higher-level laws and departmental policy documents, meets the multi-dimensional comparison needs during review |
searchMode | Semantic retrieval | Adapts to semantic matching of long-text articles, accurately locates article content and authority basis |
usingReRank | Enabled | Reorders initial recall results by relevance, improves the display priority of key compliant basis |
datasetSearchUsingExtensionQuery | Enabled | Automatically expands relevant expressions of review questions, covers retrieval scenarios for regulatory basis with different expressions |
collectionIds | Bind by data source category | Restricts retrieval scope to exclusive collections such as the regulatory and rule library and higher-level law database, avoids mixing in irrelevant data |
Three Common Misconfigurations
- Retrieval exceeds 10 seconds, and the interface displays a loading timeout. Root causes include failure to restrict retrieval collection scope, excessive data volume from cross-full data source retrieval, and additional computational overhead from not enabling reranking or extended queries.
- Recall results include non-higher-level law internal department documents. This occurs when specified
collectionIdsare not bound, and the retrieval scope includes non-compliant basis datasets. - The number of retrieval results does not match expectations, and some necessary articles are not recalled. This happens when the
similaritythreshold is set too high, filtering out compliant basis that meet required relevance levels.
How to Verify Correct Configuration
- View the knowledge base collection binding list. Confirm that exclusive
collectionIdsare bound by data source category. Ensure no irrelevant datasets are included in the retrieval scope. - Submit a typical review question. Check whether retrieval time meets business expectations. Confirm no long loading occurs.
- Manually compare recall results with higher-level law database content. Confirm all results are compliant basis and have correct hierarchy.
- Adjust the
similaritythreshold. Test the number of recall results under different values. Confirm results meet review and comparison needs.
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.