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; their sources are submissions by applicants and review archiving, and the update cadence advances with batches and supplementary documents. The registration form provides identity, examination level, and employer opinion; the education certificate provides institution, major, certificate number, and date; the work experience certificate provides start and end times, position, and signature. After the materials enter the vector model and indexing feature, each generates vectors as text chunks, the original data is stored in the business database data table, and the index field records multiple vector identifiers, so that retrieval first recalls vectors and then merges them back with the original data, taking the highest score for the same group of data. Field characteristics center on names, quantities, dates, and signatures; the same record often appears with inconsistent wording across materials, which needs to be reconciled with a unified terminology table and a comparison draft.
Configuration and implementation checks
This step is executed by the indexing service and the vector database, and outputs vectors and index status (whether recall is possible and whether the same group of data is merged). The "unified terminology table and comparison 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 |
|---|---|---|
| Registration form | Whether names, quantities, dates, and signatures can refer back to the same record in the education certificate and work experience certificate | Open a data row and check the index field to confirm that multiple vector identifiers are all present, then retrieve once to see whether the same group is merged |
| Education certificate | Whether institution, major, certificate number, and date are consistent item by item with the registration form, and whether versions are synchronized | In the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, and view the data range covered by the rebuild task |
| Work experience certificate | Whether start and end times, position, and signature or receipt are complete, and whether the same record matches across the two materials | Sample three terms and check whether their wording is consistent throughout, and check whether the data row status is indexed and the rebuild task record |
| Data row | Whether multiple vector identifiers of one piece of data are all present, and whether after changing models the rebuild is triggered only for data whose indexing is already complete | Check limit, and the tokens of the cited text; record the array count separately |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of original data corresponds to multiple vector identifiers, and after recall they are not merged by identifier or the merge condition is not met.
- Symptom: the name, quantity, and date of the same record do not match across the two materials. Inspect the following: the versions of the registration form and the education certificate or work experience certificate are not synchronized, or the signature or receipt is missing.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: the index model is inconsistent with the vector model actually used by the knowledge base, or after changing models the rebuild did not cover that data.
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 whether the highest score is taken; for status values, only indexed and the rebuild task record are recognized.
Business test: sample three terms and check whether their wording is consistent throughout, and check the number of citations and the tokens of the cited text; record limit separately.
- In the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, and view the data range covered by the rebuild task.
- Open a data row and check the index field to confirm that multiple vector identifiers are all present, and check whether the status is indexed and the rebuild task record.