What this category's data looks like
Vocational training subsidy application materials typically include training class filing records, attendance records, and completion assessment forms, with fields covering trainee name, ID number, training occupation, class start date, completion date, assessment score, signature, and receipt. Multilingual materials come from class notices, course outlines, assessment standards, and policy documents in different languages. When translating in and out, it is easy for the same record name, quantity, and date to fail to match, for versions to be out of sync, and for signatures or receipts to be missing. When these materials enter the vector model and indexing feature, the source text and translated text each form data rows, the index field records multiple vector identifiers, and retrieval first recalls vectors and then merges them back with the original data, taking the highest score for the same group of data. The update cadence follows class batches and completion assessment cycles, and field characteristics are mainly terminology alignment, dates, and signature status.
Configuration and implementation checks
This part is executed by the indexing service and vector database, outputting vectors and index status (whether recall is possible and whether the same group of data is merged). "Unified terminology glossary and aligned draft" is then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Training class filing | The name, quantity, and date of the same class record in the filing and attendance materials must be consistent | Open a data row and check the index field to confirm that multiple vector identifiers are all present, and check version synchronization and signature receipt |
| Attendance record | Trainee name, ID number, and attendance date in the attendance sheet and completion assessment form must be traceable back to the source text | In the knowledge base settings, check that the indexing model is consistent with the vector model actually used by the knowledge base, and retrieve the same group to see whether it is merged |
| Completion assessment form | Assessment score, completion date, and signature status must be written consistently throughout the aligned draft | Check the data scope covered by the rebuild task; after changing models, trigger only for data that has already been indexed, and check the status value against indexed and the rebuild task record |
| Terminology aligned draft | The same term must be consistent throughout, and the translated name must be traceable back to the source text | Sample three terms and check whether their wording is consistent throughout, and record the tokens and array count of the cited text |
Three common errors
- Symptom: the same trainee's name, quantity, and date do not match between the class filing and attendance record. Inspect the following: multilingual material versions are out of sync.
- Symptom: the completion assessment form lacks a signature or receipt, but retrieval can still recall it. Inspect the following: material fields were not included in verification, and the index only reflects vector status.
- Symptom: after changing models, recall quality drops, and data rows have content but cannot be retrieved. Inspect the following: the rebuild task did not cover all data that has already been indexed.
How to verify the setup
This feature's acceptance: sample one data row and look at the index field to confirm that multiple vector identifiers are all present, then retrieve once to see whether the same group is merged, and check indexed against the rebuild task record.
Business test: sample three terms and check whether their wording is consistent throughout, and at the same time record the number of citations and the tokens of the cited text; check limit according to their respective definitions.
- 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 the index field.
- Check the data scope covered by the rebuild task, confirm that after changing models only data that has already been indexed is triggered, and check the status value against indexed and the rebuild task record.