What this category's data looks like
For university employment contract signing and graduation destination statistics, materials include employment agreements, graduation destination registration forms, employer certificates, as well as multilingual parallel drafts and a unified terminology glossary. Sources are departmental submissions, employer receipts, and university-level aggregation, with updates rolling according to graduation batches and signing progress. Fields involve employer name, position, signing date, signature and receipt status; the same record often appears in two materials with inconsistent names, quantities, or dates, versions not synchronized, and missing signatures or receipts. When materials enter this feature, employment agreements and registration forms serve as primary data rows, employer certificates serve as supporting rows, and multilingual parallel drafts and the terminology glossary serve as supporting materials for terminology consistency verification; each generates vectors and indexes for subsequent retrieval and citation trimming.
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 data in the same group is merged). "Unified terminology glossary and parallel drafts" are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Employment agreement | Employer name, position, signing date, signature and receipt must correspond item by item with the registration form, and translated names must refer back to the original text | Open the data row and check whether the index field contains multiple vector identifiers; retrieve the record to see whether the same group is merged |
| Graduation destination registration form | Destination category, employer name, date and signature must be consistent with the agreement, and terminology must be written consistently throughout | Check whether the data row status is indexed; after changing models, check the data range covered by the rebuild task |
| Employer certificate | Employer name, number of people, date and receipt must match the agreement and registration form; missing signature or receipt must be flagged | Retrieve the material to see whether it can be recalled and whether data in the same group is merged; check the cited text against tokens and the number of array entries |
| Unified terminology glossary and parallel drafts | The same term must be consistent throughout, translated names must refer back to the original text, and versions must be synchronized with the primary data | Sample three terms and check whether their wording is consistent throughout; check the number of citations and the citation content budget and record them separately |
Three common errors
- Symptom: The employer name, number of people, and date for the same record do not match between the agreement and the registration form. Inspect the following: Multilingual materials are entered separately, and terminology and fields do not uniformly refer back to the original text.
- Symptom: The glossary and parallel draft versions are not synchronized, and old translated names are still recalled. Inspect the following: After changing models, rebuilds are triggered only for data that has already been indexed, so the coverage is insufficient.
- Symptom: The employer certificate lacks a signature or receipt, and duplicate entries appear in retrieval results. Inspect the following: One data item corresponds to multiple vector identifiers and is not merged by taking the highest score within the same group.
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 all present, then retrieve once to see whether the same group is merged and whether recall is possible; only indexed and rebuild task records are recognized as status values.
Business test: sample three terms and check whether their wording is consistent throughout, whether translated names refer back to the original text, and record the number of citations and the citation content budget separately; check limit against the cited text.
- In the knowledge base settings, check that the indexing model is consistent with the vector model actually used, and inspect the data range covered by the rebuild task.
- Open a data row and check the index field to confirm that multiple vector identifiers are complete; after retrieval, check whether the same group is merged and whether recall is possible, and record the number of citations and the citation content budget separately.