What this category's data looks like
For multilingual materials and terminology processing in primary and secondary school admissions organizations, the materials come from three types: admissions plans, application material checklists, and admission lists. Admissions plans contain policy clauses, time nodes, and signature fields; application material checklists contain document names, number of copies, dates, and receipts; admission lists contain student names, numbers, batches, and confirmation signatures. Materials are updated by admissions season, versions are adjusted by batch, and fields are mainly names, quantities, dates, and signatures. When entering this function, the three types of materials serve respectively as raw data to be indexed, the vector database is responsible for recall, and the terminology table and comparison draft are completed by subsequent steps.
Configuration and implementation checks
This stage is executed by the indexing service and the vector database, outputting vectors and index status (whether recall is possible, whether data in the same group is merged). The unified terminology table and comparison draft are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Admissions plan | Names, dates, and signature fields are consistent across the three materials | Open one data row to check the index fields and confirm that multiple vector identifiers are all present |
| Application material checklist | Document names, number of copies, dates, and receipts are complete | In the knowledge base settings, check that the index model is consistent with the vector model actually used |
| Admission list | Student names, numbers, batches, and signatures can be traced back to the original text | Check the data scope covered by the rebuild task; after changing models, trigger only for data that has already been indexed |
| Terminology comparison draft | The same term is written consistently throughout, and the translated name can be traced back to the original text | Sample three terms to check whether their writing is consistent throughout, and verify the tokens of the cited text |
Three common errors
- Symptom: The names, quantities, and dates of the same record do not match between the admissions plan and the admission list. Inspect the following: Multilingual materials have not unified terminology.
- Symptom: The version of the application material checklist is not synchronized, and receipts from old batches are missing. Inspect the following: After changing models, and old data is not covered.
- Symptom: Duplicate entries appear in retrieval results, or a data row has content but cannot be retrieved. Inspect the following: The data row index fields lack vector identifiers, and data in the same group is not merged by the highest score.
How to verify the setup
Acceptance for this function: sample one 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 the same group is merged, and check the rebuild task records.
Business test: sample three terms to check whether their writing is consistent throughout, verify limit, and the number of citations, and record the array count separately.
- In the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, and confirm that the data row index fields are complete.
- Check the data scope covered by the rebuild task; after changing models, trigger only for data that has already been indexed, and verify
limit, and the number of citations.