What the data for this category looks like
Data mainly comes from internal party building work ledgers, study documents issued by superior party committees, daily party lesson records, and party building integration materials paired with operation business. Update schedule: Synchronize new superior deployments weekly, update internal party lessons and assessment materials monthly, and store temporary party building activity materials as needed. Documents include multi-column Excel party building study ledgers (with fields like study topic, time, speaker, assessment key points, etc.), Word party lesson manuscripts, and PDF red-headed documents. Most content consists of structured text and policy-related paragraphs, with no complex nested formatting.
What constraints these characteristics impose on knowledge base retrieval and recall
Automatic segmentation of multi-column structured ledgers can easily break entry integrity. Mandatory row-by-row or fixed-field splitting is required to prevent learning key points from disconnecting from their topics. Policy documents issued by superior authorities carry strong authority. Recall results must prioritize matching original text expressions to avoid semantic drift. Party building materials paired with operation business need to link to post scenarios. Retrieval must match both party building themes and business keywords at the same time to improve scenario fit. Temporary stored activity materials have no fixed format. Embedding logic for multiple document types must be adapted to avoid missing key information.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.65–0.75 | Adapt to the rigorous policy expression of party building materials, filter low-relevance generalized results, and retain core matching content |
limit | Top 6 entries | Single party building study content has moderate length; 6 entries can cover the context requirements of a single study Q&A, avoiding information overload |
searchMode | hybrid | Combine keyword and semantic retrieval, adapt to the mixed retrieval scenario of structured ledgers and policy texts, and improve recall coverage |
usingReRank | Enabled | Reorder recall results by relevance, solve the problem of disordered result ranking after mixed retrieval, and prioritize displaying the most relevant party building content |
datasetSearchUsingExtensionQuery | Disabled | Most party building study content uses official expressions; expanding queries easily introduces irrelevant semantics, maintaining retrieval accuracy |
collectionIds | Bind to the exclusive knowledge base collection for expressway operation party building | Adapt to the collection binding logic of FastGPT v4.17.0, isolate knowledge base data from other categories, and ensure recall results only come from party building materials of this scenario |
Three common misconfigurations
- Phenomenon: Automatic segmentation is disordered after importing multi-column party building study Excel files. Individual learning key points are split into separate fragments. Cause: No row-by-row splitting rule is set for structured ledgers. The default automatic segmentation logic breaks entry integrity.
- Phenomenon: Non-target knowledge base reference sources are returned even when no corresponding documents are uploaded during retrieval. Cause: No exclusive party building knowledge base collection is bound. The retrieval scope covers document data from other categories.
- Phenomenon: Non-party building operation business content is mixed into mixed retrieval results, and accurate filtering fails. Cause: Re-ranking is not enabled, or a reasonable similarity threshold is not set. Low-relevance content is recalled.
How to verify correct configuration
- Upload a test party building study Excel ledger, trigger retrieval, and check if segmentation follows row-by-row rules. Confirm entry integrity is maintained.
- Enter keywords not present in the knowledge base. Check if no results are returned, or a clear prompt of no matching content appears. Confirm the retrieval scope does not overflow.
- Adjust the similarity parameter, observe changes in the relevance of recall results, and verify the threshold setting meets scenario needs.
- After enabling mixed retrieval, check if results prioritize content that best matches the party building theme. Confirm the re-ranking function is active.
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.