What data does this category contain?
The data sources for this category are government portals, document management systems, government information disclosure directories, policy document repositories, and press conference materials. The update frequency is daily.
Daily documents include policy documents, policy interpretation drafts, public disclosure directories, information release approval forms, press releases, and website column update records. Data fields include disclosure attribute, confidentiality level, publishing attribution column, approval status, release time, and other relevant fields. Most document structures are formatted formal texts, and some policy interpretation drafts include associated graphic and text information.
What constraints do these characteristics impose on the knowledge base retrieval and recall link?
The high-frequency daily updated data requires the retrieval pipeline to support incremental synchronization, avoiding resource consumption caused by full reconstruction of the knowledge base.
Multiple types of formal documents include long-text policy files and short interpretation drafts. Differentiated text chunking configurations must be adapted to avoid semantic fragmentation in long documents or loss of information in short documents.
The disclosure attribute and confidentiality level fields require permission filtering before retrieval, to prevent confidential or undisclosed content from being recalled. Public data for the general public requires that recall results strictly match the government public disclosure directory to avoid caliber deviations. The retrieval scope must also be limited to the public documents of this category to prevent cross-library interference.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.72–0.88 | Adapts to the semantic matching accuracy of formal official documents, filters irrelevant retrieval results |
limit | Top 6–10 entries | Matches the multi-document scenario of daily updates, ensures recall results cover major policy items |
searchMode | Semantic Retrieval | Adapts to the long-text semantic understanding requirements of policy documents and interpretation drafts |
usingReRank | Enabled | Optimizes result ranking after long-document retrieval, avoids incorrect recall caused by semantic deviation |
datasetSearchUsingExtensionQuery | Enabled | Performs expansion optimization on user questions, adapts to the colloquial question habits of party building learning Q&A |
collectionIds | This category's exclusive knowledge base collection ID | Limits the retrieval scope to only proactive public disclosure and policy publication documents, prevents cross-library retrieval interference |
Three common misconfigurations
- Phenomenon: Retrieval results returned do not match the content of policy documents stored in the knowledge base. Cause: The
collectionIdsconfiguration to limit the retrieval scope was not set, resulting in cross-knowledge-base recall of non-category-specific document data. - Phenomenon: The application calls the knowledge base interface and returns no relevant content. Cause: The application is not bound to the correct
collectionIdsfor the knowledge base, ordatasetSearchUsingExtensionQueryis not enabled, causing colloquial questions to fail to match formal documents. - Phenomenon: Long policy documents are fragmented and suffer from semantic fragmentation, making it impossible to correctly match questions. Cause: No chunking configuration adjustments were made for long-text policy files, and unified chunking rules were used for all document types.
How to confirm the configuration is correct
- View retrieval logs to confirm that all recalled document results come from this category's proactive public disclosure knowledge base collection.
- Submit test questions to verify that the semantic matching degree of returned results with policy document content in the knowledge base meets the preset
similaritythreshold requirements. - Simulate a daily incremental update scenario to confirm that the retrieval pipeline can normally synchronize newly released policy documents.
- Test colloquial questions to verify that after
datasetSearchUsingExtensionQueryis enabled, formal policy entries can be correctly matched.
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.