What this category's data looks like
The registration review for professional and technical personnel vocational qualification examinations involves three types of materials: registration forms, educational certificates, and work experience certificates. The registration form records examination application information and the employer's opinion; the educational certificate carries the graduating institution, major, and certificate number; the work experience certificate reflects the start and end of employment and the position. The material sources are candidate submissions, employer seals, and review receipts, and the update cadence follows batch and policy adjustments. Field characteristics include name, ID number, date, signature, and seal. When materials enter the vector model and indexing function, the registration form serves as the anchor of the main record, while the educational certificate and work experience certificate serve as supporting materials; vectors are generated separately and index fields are recorded, so that during retrieval they can be merged back into the original data by identifier, and the highest score is taken for the same group of data.
Configuration and implementation checks
This step is executed by the indexing service and vector database, outputting vectors and index status (whether recall is possible, whether the same group of data is merged). "Version ledger and change records" are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Registration form | Whether the fields, dates, and signatures are consistent with the educational certificate and work experience certificate | Check the name, ID number, examination level, and employer opinion signature, inspect whether the index fields are complete, and confirm the defaultToken and maxToken budgets |
| Educational certificate | Whether the graduating institution, major, and certificate number match the registration form | Compare the dates and certificate number, and confirm that the data row status is indexed and that the index fields contain multiple vector identifiers |
| Work experience certificate | Whether the start and end of employment and the position are consistent with what is filled in the registration form | Check the seal and receipt, and review the data range covered by the rebuild task records |
| Data row index fields | Whether all multiple vector identifiers of one piece of data are present | Open the data row and check the index fields, and confirm that retrieval of the same group of data merges and takes the highest score |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the name or date of the same record does not match across the two materials, and the vectors are not merged by the same-group identifier.
- Symptom: recall quality drops after changing models. Inspect the following: the version is not synchronized, the old index is not rebuilt according to the current version, and citations still point to old content.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: missing signatures or receipts cause the material not to complete indexing, and the index fields are empty or the status has not reached indexed.
How to verify the setup
This feature's acceptance: sample one data row to inspect the index fields, then retrieve once to see whether the same group is merged, check the defaultToken and maxToken budgets, and confirm the status is indexed.
Business test: change one piece of content and see whether the version number and citations are updated synchronously.
- In the knowledge base settings, check that the indexing model is consistent with the vector model actually used by the knowledge base, and confirm the
defaultTokenandmaxTokenbudgets. - Review the data range covered by the rebuild task records, and confirm that after changing models, rebuilds are triggered only for data that has already completed indexing.