What the data for this category looks like
Core data for this category comes from the national primary and secondary school student status management system, local enrollment platforms, household registration and property verification data, and school academic affairs systems. The update frequency is daily. Documents processed daily include enrollment application forms, student status information forms, transfer applications, enrollment plans, admission rosters, and student status change approval forms. This covers structured student status fields and unstructured content such as policy explanations and service guides. Processing entities include education bureau basic education sections, school academic affairs offices, enrollment examination institutions, and street collaborative windows. All business operations revolve around student enrollment eligibility and student status transfer.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
Data sources for this category are scattered, and include both structured and unstructured formats. This requires the retrieval pipeline to support both precise field matching and semantic understanding. High-frequency data updated daily requires incremental synchronization to prevent stale results from impacting business decisions. Core business steps focus on household registration and property verification, and student status transfer and change processing. This requires retrieval results to precisely match documents for the corresponding scenario, with no omissions or duplicates. Errors directly affect student enrollment and normal student status, so retrieval accuracy and recall completeness requirements are higher than general scenarios.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches field precision for structured data such as student status information and household registration verification, filters low-relevance results |
limit | 6–10 items | Covers multiple types of business documents including enrollment policies, student status files, and service guides, controls total context length |
usingReRank | Enabled | Improves result ranking accuracy for unstructured documents such as policy explanations and qualification verification |
datasetSearchUsingExtensionQuery | Enabled | Adds associated household registration and property data retrieval dimensions to match cross-source business data |
searchMode | hybrid | Combines semantic retrieval and keyword retrieval, adapts to structured student status forms and unstructured policy documents |
collectionIds | Configured by business scenario | Separates independent collections such as enrollment plans, student status files, and policy documents to precisely limit retrieval scope |
Three common mistakes
- When
limitis set to 6 during API calls, no additional results can be added. The API returns a fixed number of retrieval results because the default retrieval upper limit parameter was not adjusted in the platform configuration page. - An error indicating file size exceeds the limit appears when uploading student status documents, and files larger than 1 MB cannot be uploaded. This is because the large file chunked upload function is not enabled.
- Irrelevant funding policy content frequently appears in retrieval results, and student status-related documents cannot be accurately recalled. This is because
collectionIdswas not configured by business scenario to limit the retrieval collection.
How to confirm configurations are correctly set
- Retrieval API is called with query terms related to student status verification, and the number of returned results is checked to match the configured
limitvalue. - A test unstructured policy document is uploaded, and it is confirmed that files larger than 1 MB can be imported normally and indexed.
- A query containing household registration and property keywords is entered, and it is checked that retrieved documents include content from the corresponding business scenario.
- After
usingReRankis enabled, result ranking before and after reranking is compared to confirm the reranking function is active.
The values given 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.