What this category's data looks like
Modern apprenticeship and order class management involves three types of materials: school-enterprise cooperation agreements, order class training plans, and master-apprentice mentoring records. School-enterprise cooperation agreements contain the cooperation period, number of positions, signatures and dates of both parties; order class training plans contain course modules, credit hour allocation, enterprise mentor names, and approval signatures; master-apprentice mentoring records contain the mentoring cycle, apprentice list, master comments, and acknowledgments. These materials are updated by academic year or project milestone, and it is common for the same record to have inconsistent names, quantities, and dates across different materials, unsynchronized versions, and missing signatures or acknowledgments. When entering the knowledge base, cooperation agreements serve as the constraint basis, training plans as the execution framework, and mentoring records as process evidence, each playing a different retrieval role, and it is necessary to ensure through vector models and indexes that the current version is unique, old versions are traceable, and citations are synchronized.
Configuration and implementation checks
This step is executed by the indexing service and vector store, outputting vectors and index status (whether they can be recalled, 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 |
|---|---|---|
| School-enterprise cooperation agreement | Whether the cooperation period, number of positions, signatures and dates of both parties are consistent with the order class training plan | Open the data row to check the index fields, confirm that multiple vector identifiers are complete, and after retrieval see whether the same group is merged |
| Order class training plan | Whether the course modules, credit hours, enterprise mentor names, and approval signatures correspond to the master-apprentice mentoring records | In the knowledge base settings, check that the index model is consistent with the actual vector model, and view the coverage of the rebuild task |
| Master-apprentice mentoring record | Whether the mentoring cycle, apprentice list, master comments, and acknowledgment signature match the dates in the training plan | Retrieve the same record name, confirm that the recall results have no duplicate entries, and that the status is indexed |
| Data row index fields | Whether multiple vector identifiers for one piece of data are all present, and whether rebuilding after changing models only covers data that has already been indexed | View the rebuild task records, and check the budget of limit in the cited text |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of data corresponds to multiple vectors, and when merging, the highest score was not taken or index fields are missing.
- Symptom: the number of positions and dates for the same record do not match between the cooperation agreement and the training plan. Inspect the following: versions are not synchronized, and the old version is not marked.
- Symptom: master-apprentice mentoring records lack signatures or acknowledgments, yet retrieval can still recall them. Inspect the following: materials were not updated according to the principle of a unique current version.
How to verify the setup
Acceptance for this feature: sample one data row to check the index fields, confirm that multiple vector identifiers are all present, then retrieve once more to see whether the same group is merged, with status indexed.
Business test: change one piece of content and see whether the version number and citations are updated synchronously; if a citation limit is involved, check the tokens of the cited text, and record the array count separately.
- In the knowledge base settings, check the index model and confirm it is consistent with the vector model actually used by the knowledge base.
- Open a data row to check the index fields, view the rebuild task records, and confirm that after changing models, rebuilding is triggered only for data that has already been indexed.