What this category's data looks like
This page addresses the scenario of registration review for professional and technical personnel qualification examinations. The materials include registration forms, education certificates, and work experience certificates. The sources are examination management agencies and employers, and the update cadence rolls with registration batches and review cycles. The registration form carries identity and examination subject fields; the education certificate carries the graduating institution, major, certificate number, and issue date; the work experience certificate carries the position, start and end dates, and employer seal. When these three types of materials enter the vector model and indexing function, the registration form serves as the main record anchor, while the education certificate and work experience certificate serve as supporting materials and generate vectors and raw data rows separately. The same material can correspond to multiple vector identifiers. Field characteristics are concentrated in name, ID number, employer name, date, and signature. Cross-material inconsistencies in names, quantities, and dates are common, versions are not synchronized, and signatures or receipts are missing, so material alignment must be completed before indexing.
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). "Evidence entries that can be traced back to the original text" 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 | The name, ID number, examination subjects, issue date, and signature fields must be aligned item by item with the education certificate and work experience certificate, and the name, quantity, and date of the same record must not conflict | Open a registration form data row, check whether the index field records multiple vector identifiers, and after retrieval see whether data in the same group is merged and the highest score is taken |
| Education certificate | The graduating institution, major, certificate number, issue date, and signature receipt must be consistent with the registration form, and the version must be current | In the knowledge base settings, check that the indexing model is consistent with the model actually used, and view the data scope covered by the rebuild task |
| Work experience certificate | The position, start and end dates, employer name, and seal must connect with the timeline of the registration form and education certificate, and those missing a signature or receipt must not enter the index | Check the citation text budget according to limit, record the number of array entries separately, and confirm that the status is indexed |
| Data row index field | Multiple vector identifiers of one data item should be fully recorded, data in the same group should be merged after retrieval, and after changing models, rebuild should be triggered only for data that has already been indexed | Open a data row and check the index field, view the rebuild task records, and confirm the coverage scope and status |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the name and date of the same record do not match between the registration form and the work experience certificate, and the vector identifiers are not merged.
- Symptom: recall quality drops after changing models. Inspect the following: versions are not synchronized, and the rebuild task only covers data that has already been indexed, not old-version materials.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: the education certificate lacks a signature or receipt, the index field does not record a vector identifier, and the status has not reached indexed.
How to verify the setup
This feature's acceptance check: sample a data row to see whether the index field records multiple vector identifiers, then retrieve once to see whether data in the same group is merged and the highest score is taken, confirm the status is indexed, and view the rebuild task records.
Business test: ask a cross-material evidence question and see whether the answer provides a traceable source, with the number of citations recorded according to the array length, and the citation text budget checked according to limit.
- 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
limitcitation budgets. - Open a data row and check the index field, view the data scope covered by the rebuild task records, and confirm that the status is indexed and that data in the same group is merged.