What this category's data looks like
This page focuses on data versions and change maintenance for primary and secondary school admissions organizations, covering three core types of materials: admission plans, application material checklists, and admission lists. The admission plan contains fields for admission scope, time nodes, and admission rules; the application material checklist contains material name, number of copies, submission date, and signature field; the admission list contains student name, admission batch, date, and receipt status. After these materials enter the knowledge base, they respectively serve the roles of rule basis, material verification, and result confirmation. The update rhythm changes as the admissions season progresses; plan revisions, checklist corrections, and list announcements all generate new versions, and old versions must be retained for traceability. In terms of field characteristics, the name, quantity, date, and signature status of the same record in different materials must be consistent, and version numbers and reference relationships must be maintained in sync to avoid retrieving old versions or content missing signature receipts during retrieval.
Configuration and implementation checks
This step is executed by the indexing service and vector database, outputting vectors and index status (whether retrieval is possible, whether data in the same group is merged). The "version ledger and change records" are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and reference trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Admission plan | Whether the admission scope, time nodes, and admission rule fields in the plan are consistent with the current version, and whether the old version is traceable | In the knowledge base settings, check that the indexing model is consistent with the vector model actually used by the knowledge base, open the plan data row to check whether the index fields are complete, and confirm the status is indexed |
| Application material checklist | Whether the material name, number of copies, submission date, and signature field in the checklist are consistent with the corresponding records in the admission plan, and whether missing signatures or receipts are marked | Open a checklist data row, check whether multiple vector identifiers in the index fields are all present, retrieve once to see whether data in the same group is merged, and check the coverage of the rebuild task records |
| Admission list | Whether the student name, admission batch, date, and receipt status in the list are consistent with the application material checklist, and whether the name, quantity, and date of the same record in the two materials do not match | Sample a list data row to inspect the index fields, then retrieve once to see whether the same group is merged, and check that the tokens and array count of the referenced text are recorded separately |
| Data row index fields | Whether multiple vector identifiers of one piece of data are all present, and after changing models, whether rebuilds are triggered only for data that has already been indexed | Check the data scope covered by the rebuild task records, and verify the budget settings of limit in reference trimming |
Three common errors
- Symptom: the name or date of the same student in the admission list and the application material checklist do not match. Inspect the following: the two materials are maintained separately, versions are not synchronized.
- Symptom: after the admission plan is revised, the old version is still retrieved. Inspect the following: the old data row is not marked invalid, the vector database still retains its vector identifier, and retrieval first recalls the vector and then merges it back into the original data by identifier.
- Symptom: the application material checklist is still retrieved even though signatures or receipts are missing. Inspect the following: the signature and receipt fields are not included in the index field verification, the data row has content but the corresponding status cannot be retrieved, and the rebuild task does not cover it.
How to verify the setup
This feature's acceptance: sample a data row to inspect the index fields, confirm that multiple vector identifiers are all present and the status is indexed, then retrieve once to see whether data in the same group is merged and whether the highest score is taken.
Business test: change one piece of content, see whether the version number and references are updated in sync, check that the tokens and array count of the referenced text are recorded separately, and confirm that the rebuild task records cover that data row.
- In the knowledge base settings, check that the indexing model is consistent with the vector model actually used by the knowledge base, and open a data row to check whether the index fields are complete.
- Check the data scope covered by the rebuild task records, confirm that after changing models only data that has already been indexed is triggered, and verify the budget of
limitin reference trimming.