What this category's data looks like
Teacher qualification exams and certification involve written and interview registration forms, Mandarin proficiency certificates, medical examination forms, and other materials. Sources are examination institutions and certification units at various levels, and updates advance with registration batches, certification announcements, and certificate issuance schedules. When materials enter this feature, registration form fields carry identity and subject information, Mandarin proficiency certificate fields carry grade and number, and medical examination form fields carry conclusions, dates, and signatures. Multilingual materials and terminology processing require the same term to be consistent throughout and translated names to be traceable back to the source text. Therefore, materials are first converted into searchable text, then a vector model generates vectors, and the indexing service handles recall and merging. Subsequent nodes or manual work use this to produce a unified terminology glossary and comparison draft.
Configuration and implementation checks
This step is executed by the indexing service and vector database, outputting vectors and index status (whether recall is possible and whether data in the same group is merged). The "unified terminology glossary and comparison draft" is then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials). Retrieval and citation trimming only take supporting materials and do not generate terminology glossaries, comparison drafts, or version ledgers.
| Object | Check | Verification action |
|---|---|---|
| Written and interview registration form | Name, quantity, date, and signature must be consistent across the three types of materials, and translated names must be traceable back to the source text | Check whether the name, date, and signature of the same record in the registration form and medical examination form match, and check whether the data row index field contains multiple vector identifiers |
| Mandarin proficiency certificate | Certificate number, grade, and issuance date must be consistent with the corresponding record in the registration form | Sample one certificate data row, check whether the index field is complete, then search once to see whether the same group is merged |
| Medical examination form | Medical examination conclusion, date, and signature must be consistent with the registration form and certificate records | View the data scope covered by the rebuild task, and confirm whether data that has already been indexed triggers a rebuild after changing models |
| Knowledge base settings | The indexing model must be consistent with the vector model actually used by the knowledge base | Check the indexing model in the knowledge base settings, and confirm the budget relationship among limit, and the tokens of the cited text |
Three common errors
- Symptom: The name and date of the same record do not match between the registration form and the medical examination form. Inspect the following: Material versions are not synchronized, and field entry sources differ.
- Symptom: A data row has content but cannot be retrieved. Inspect the following: The index field is missing vector identifiers, or the rebuild task does not cover that data.
- Symptom: Duplicate entries appear in retrieval results. Inspect the following: Data in the same group is not merged, and the vector score does not take the highest score.
How to verify the setup
This feature's acceptance check: sample one data row and inspect the index field to confirm that multiple vector identifiers are present and the status is indexed, then search once to see whether the same group is merged and whether the highest score is taken.
Business test: sample three terms and check whether their spelling is consistent throughout, and verify whether translated names can be traced back to the source text.
- In the knowledge base settings, check whether the indexing model is consistent with the vector model actually used by the knowledge base.
- View the data scope covered by the rebuild task records, and confirm that after changing models, only data that has already been indexed triggers a rebuild.