What the data for this category looks like
The data for this category comes from government information disclosure platforms, official archive systems, document management systems, departmental business ledgers, and government disclosure-related regulations, as well as party building learning policies and materials. Commonly processed documents include government information disclosure application forms, supplementary notice letters, third-party opinion solicitation letters, response letters, delivery receipts, and administrative reconsideration response materials. Most documents combine structured forms and official documents, with fixed fields including applicant information, application items, response content, and relief channels. Updates follow no fixed schedule, and are carried out irregularly as individual cases are handled, policies are adjusted, and party building learning content is updated.
What constraints do these characteristics impose on the knowledge base retrieval and recall link?
Dispersed document formats and diverse sources require the retrieval system to support multiple file structures, and adapt to mixed content of structured forms and official documents. Irregular updates require an incremental synchronization mechanism that adapts to non-fixed-cycle data updates, to avoid knowledge base content lagging behind. In the party building learning Q&A scenario, both government disclosure policies and individual case response materials for application-based disclosure need to be associated, so the retrieval scope must cover both types of content. Precise matching for individual cases requires avoiding irrelevant information being recalled, so the retrieval scope must be strictly limited to documents exclusive to this category and party building learning materials, to prevent leakage of undisclosed sensitive content.
How to configure
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Filter low-match irrelevant documents, retain precise matching results for party building policies and application-based disclosure response materials |
limit | Top 8 entries | Cover multi-dimensional responses to individual case application items and party building-related policy interpretations, avoid excessive redundant content |
searchMode | vector+keyword | Combine semantic matching and keyword retrieval, adapt to the mixed document structure of structured forms and official documents |
usingReRank | Enabled | Re-rank initial recall results, prioritize content strongly related to party building learning Q&A and application-based disclosure items |
datasetSearchUsingExtensionQuery | Enabled | Generate extended queries based on user questions, cover party building policy terminology and government disclosure-specific expressions, improve recall scope |
collectionIds | Bind exclusive knowledge base ID for this category | Limit retrieval scope to government information application-based disclosure documents and party building learning materials, avoid cross-category interference |
Three common configuration errors
- Symptom: Retrieval results return AI-generated rewritten content, and the original response from the knowledge base Q&A pairs is not retained. Cause:
datasetSearchUsingExtensionQueryandsearchModeare not configured correctly, causing the system to perform secondary generation on recalled content. - Symptom: Retrieved document fragments are incomplete, or truncated response content appears. Cause: The chunking strategy has not been adjusted for long paragraphs in application-based disclosure documents, or the chunk overlap length is set improperly.
- Symptom: Retrieval results include non-category-specific publicly available information that is unrelated to party building learning Q&A. Cause:
collectionIdsis not configured correctly, and the retrieval scope is not limited to the exclusive knowledge base.
How to verify correct configuration
- Submit test questions, verify that the returned content is the original response from the Q&A pairs in the knowledge base, with no additional generated content.
- View the retrieval log, confirm that the number of recall results matches the value set by
limit. - Test documents of different formats (such as government information disclosure application forms, party building policy documents) to verify that all retrieval results come from the bound exclusive knowledge base.
- Simulate uploading documents with ultra-long segments, confirm that the system correctly handles chunking and recall.
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.