What this category of data looks like
Party building learning Q&A data for the survey and design industry comes primarily from three sources: learning course archives stored in the enterprise’s internal party building system, policy documents issued by party committees of superior housing and urban-rural development departments, and temporary party building learning ledgers for projects. Two update rhythms apply. Superior policy documents update in real time upon release. Internal learning materials are organized and archived every quarter. Most documents use PDF or Word format with title hierarchies. Their structure includes fields such as document title, issuing authority, effective date, core clauses, and supporting interpretations. The primary statistical units are copies, articles, and clauses.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The scattered source of data requires the retrieval process to support batch import of multi-source documents, to avoid duplicate entry of party building materials from different channels. Differences in update rhythm require support for both incremental update and full retraining modes, to adapt to needs of regular archiving and temporary updates. The hierarchical document structure requires retrieval results to retain chapter associations, to let users view complete learning content by hierarchy. The multi-field document structure requires support for filtering retrieval by fields such as issuing authority and effective date, to narrow the matching scope.
How to set configurations
These configurations are formulated for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Party building Q&A requires accurate matching of original policy documents. This range filters low-relevance non-core content |
limit | Top 10 entries | Party building learning content mostly consists of centralized items. Excessive results will exceed the context window limit |
searchMode | Semantic search | Party building content mostly includes policy interpretations. Semantic search covers associated interpretations that keyword matching cannot reach |
usingReRank | Enabled | Perform secondary screening on recalled result sets, to improve the priority of content most relevant to the query |
datasetSearchUsingExtensionQuery | Enabled | Optimize colloquial party building question phrasing, to match learning materials more accurately |
collectionIds | Exclusive dataset ID for survey and design party building learning | Avoid mixing non-party building survey and design business documents, to ensure precise retrieval scope |
Three common errors
- Phenomenon: After uploading party building learning documents, the files cannot be found in the knowledge base backend, and their storage location cannot be confirmed. Cause: The uploaded files are not bound to the exclusive survey and design party building learning dataset. Files are only stored in the temporary directory and not synchronized.
- Phenomenon: The knowledge base export operation interrupts after returning only 50,000 records, and full documents cannot be retrieved. Cause: The export pagination parameter is not adjusted, and the default 50,000 records per page limit is used.
- Phenomenon: After retraining abnormal documents, retrieval results for some old policy original texts are not updated. Cause: Only the incremental retraining mode is selected, and existing old version documents are not covered.
How to confirm configurations are properly set
- Launch party building-related test queries, check if retrieval results only include party building learning documents, with no survey and design business documents.
- Adjust the
similarityparameter to 0.7 or 0.9, verify that the relevance of retrieval results changes as expected. - Perform a full export operation, confirm that the number of exported records matches the total number of documents displayed in the knowledge base backend.
- Upload a test party building document, launch a corresponding query after retraining, verify that the test document can be matched.
The values provided are common starting points and should be validated against the target deployment’s own sample data.
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.