What this category's data looks like
Adult college entrance examination registration and admission management involves three types of materials: registration forms, care bonus-point materials, and admission rosters. The sources are provincial admissions and examination institutions and institutional admissions offices, and the update cadence advances through four stages: registration, review, admission, and supplementary admission. Registration forms carry the candidate's basic information, application level, and preferences, with fields including name, ID number, application subject category, signature, and receipt; care bonus-point materials carry the bonus-point item, certificate number, review opinion, and handler signature; admission rosters carry the admission batch, major, planned number, and admission conclusion. After these three types of materials enter this feature, the registration form serves as the main record anchor, while care bonus-point materials and admission rosters serve as associated evidence. Each generates vectors and retains the original data rows, so that during retrieval they can be merged back into the original data by identifier.
Configuration and implementation checks
This step is executed by the indexing service and the vector database, outputting vectors and index status (whether recall is possible and whether data in the same group is merged). The 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 | Fields include name, ID number, application subject category, signature, and receipt; dates must be consistent with the review records | Open the data row and check whether the index fields contain all vector identifiers; run a retrieval to see whether the same group is merged |
| Care bonus-point materials | The bonus-point item, certificate number, review opinion, and handler signature are complete; names and quantities must match the registration form | Check whether the index model is consistent with the vector model actually used by the knowledge base, and review the coverage of the rebuild task |
| Admission roster | The admission batch, major, planned number, and admission conclusion fields are complete; dates and signatures must not be missing | Check the citation text budget against limit; record the number of array entries separately |
| Data row | The status is indexed, the rebuild task record is queryable, and the old version remains traceable | Sample one data row and inspect the index fields to confirm that multiple vector identifiers are all present |
Three common errors
- Symptom: the same candidate's name, quantity, and date do not match across two materials. Inspect the following: the registration form and care bonus-point materials were imported separately and were not merged and checked against the same record.
- Symptom: the version is not synchronized, and the old version is still recalled. Inspect the following: after changing the model, rebuild was triggered only for data that had already been indexed, not covering all data rows.
- Symptom: the admission roster is missing a signature or receipt. Inspect the following: the material scanning and entry steps did not validate the signature field and receipt field, so validity cannot be confirmed during retrieval.
How to verify the setup
Feature acceptance: sample one data row and inspect the index fields to confirm that multiple vector identifiers are all present, then run a retrieval to see whether the same group is merged and the highest score is taken.
Business test: change one piece of content, see whether the version number and citations are updated synchronously, and check limit, and the record of the number of array entries.
- Open a data row and check the index fields, confirm that the status is indexed, and review the data scope covered by the rebuild task record.
- In the knowledge base settings, check whether the index model is consistent with the vector model actually used, then run a retrieval to confirm that data in the same group is merged.