What this category's data looks like
This page addresses primary and secondary school timetable and after-school service scheduling scenarios. The material sources are the master timetable exported from the academic affairs system, teacher assignment tables, after-school service project tables, and the accompanying scheduling notices, adjustment receipts, and signature pages. The update cadence changes on a rolling basis with the initial scheduling at the start of the semester, temporary class adjustments during the week, and additions to after-school service projects. Field characteristics center on course name, assigned teacher, class date, period, venue, class size, service project name and quantity, as well as approval signatures and receipt status. When these materials enter the vector model and indexing function, the master timetable plays the role of master data, the teacher assignment tables and after-school service project tables play the role of cross-checking, and the signature and receipt materials play the role of version-effective credentials. The name, quantity, and date of the same record across multiple materials must be consistent, old versions must be traceable, and references must be synchronized.
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). The version ledger and change records are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and reference trimming only take supporting materials). The indexing model must be consistent with the vector model actually used by the knowledge base, and the index field of a data row must fully record multiple vector identifiers.
| Object | Check | Verification action |
|---|---|---|
| Master timetable | The check column is written to the category verification dimensions: course name, assigned teacher, class date, period, venue, and class size are consistent between the master timetable and the teacher assignment tables, and the version number and signature receipts are complete | Open a data row and check the index field to confirm that multiple vector identifiers are all present, then retrieve once to see whether data in the same group is merged; check the reference text tokens under limit, and record the array count separately |
| Teacher assignment table | The check column is written to the category verification dimensions: the date, period, and class name of the same teacher's same course match the master timetable, and adjustments lacking signatures or receipts must not be treated as the current version | View the data scope covered by the rebuild task and confirm that after changing the model, it is triggered only for data that has already been indexed; check the status value indexed and the rebuild task records |
| After-school service project table | The check column is written to the category verification dimensions: project name, quantity, service date, and participating classes are consistent across the master timetable and the teacher assignment tables, old versions are traceable, and references are synchronized | Open a data row and check the index field to confirm that multiple vector identifiers of one data row are all present; after retrieval, confirm that data in the same group is merged and the highest score is taken |
| Scheduling notices and adjustment receipts | The check column is written to the category verification dimensions: the course name, quantity, and date in the notice are consistent with the current master timetable, the receipt signatures are complete, and old notices whose versions are not synchronized must not enter references | Check whether the indexing model is consistent with the vector model actually used by the knowledge base; view the rebuild task records and confirm the coverage scope |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of source data corresponds to multiple vector identifiers, and the merge step did not consolidate by highest score.
- Symptom: the name, quantity, and date of the same record do not match between the master timetable and the teacher assignment tables. Inspect the following: versions are not synchronized.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: after changing the model, recall quality declined, and the rebuild task covered only part of the data that has already been indexed.
How to verify the setup
This feature's acceptance: sample a data row to inspect the index field, then retrieve once to see whether the same group is merged; check that the indexing model is consistent with the vector model actually used by the knowledge base, and for status values recognize only indexed and rebuild task records.
Business test: change one piece of content and see whether the version number and references are updated synchronously; check the reference text tokens under limit, and record the array count separately.
- Open a data row and check the index field to confirm that multiple vector identifiers of one data row are all present, then retrieve once to see whether data in the same group is merged and whether the highest score is taken.
- View the data scope covered by the rebuild task, confirm that after changing the model, it is triggered only for data that has already been indexed, and check that the indexing model is consistent with the vector model actually used by the knowledge base.