What this category's data looks like
This page addresses school moral education and homeroom teacher work scenarios. The materials include three categories: themed class meeting plans, student comprehensive quality records, and home visit records. The sources are the daily archives of grade groups, homeroom teachers, and the moral education office. The update cadence keeps pace with semester progress and special activities, and common multilingual versions and translated names coexist. Field characteristics are concentrated in four places: record name, quantity, date, and signature receipt. The same student's name spelling, activity count, and date conventions easily diverge across different materials. When materials enter this feature, the themed class meeting plans provide the source of terminology definitions and activity names, the student comprehensive quality records provide evaluation dimensions and indicator translated names, and the home visit records supplement home-school communication terminology and receipt status. Together, the three form the supporting materials for a unified terminology table and comparison draft, and the vector model and indexing are responsible for making the same group of data retrievable and mergeable.
Configuration and implementation checks
This step is executed by the indexing service and vector database, and outputs vectors and indexing status (whether retrieval is possible and whether the same group of data is merged). The unified terminology table and comparison draft are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation 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 should retain multiple vector identifiers for one data item.
| Object | Check | Verification action |
|---|---|---|
| Indexing model | Consistent with the vector model actually used by the knowledge base; after changing the model, only data that has already been indexed is triggered for rebuild, and the status values indexed and rebuild task records are visible | Check the indexing model in the knowledge base settings, and view the data scope covered by the rebuild task |
| Index field of a data row | Multiple vector identifiers for one data item are all present; retrieval first recalls vectors and then merges back to the original data by identifier, and the highest score is taken for the same group of data | Open a data row and check the index field to confirm that multiple vector identifiers are complete |
| Themed class meeting plans | The same class meeting name, activity count, date, and signature receipt are written consistently throughout, and translated names can refer back to the original text | Sample three terms and check whether the writing is consistent throughout, and verify whether signatures or receipts are complete |
| Student comprehensive quality records and home visit records | When the name, quantity, and date of the same record do not match across the two materials, the comparison draft prevails; versions are synchronized and no signatures are missing | Compare the record names, quantities, and dates in the two materials, and check the version and signature status |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: multiple vector identifiers for the same group of data are not merged, the highest vector score is not taken, and the index field record is incomplete.
- Symptom: the name, quantity, and date of the same record do not match across the two materials. Inspect the following: the terminology table and comparison draft are not unified, multilingual translated names are each followed separately, and versions are not synchronized.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: recall quality drops after changing the model, the rebuild task does not cover that data row, or missing signature receipts cause the material not to be archived.
How to verify the setup
This feature's acceptance check: 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, and recognize only the status values indexed and rebuild task records.
Business test: sample three terms and check whether the writing is consistent throughout, verify that translated names can refer back to the original text, and record the number of citations and the tokens of the cited text; check limit separately against the citation content budget.
- In the knowledge base settings, check that the indexing model is consistent with the vector model actually used by the knowledge base, view the data scope covered by the rebuild task, and confirm that it is triggered only for data that has already been indexed.
- Open a data row and check the index field to confirm that multiple vector identifiers are complete, and record
limit, and the number of citations, checking the tokens of the cited text separately.