What this category's data looks like
This category's data covers observation records, area plans, material placement, activity objectives, and reflection-to-next-week plans. Multilingual materials and terminology processing require the same term to be consistent throughout and the translated name to refer back to the source text. Material sources include class observation records, area activity plan tables, material placement lists, activity objective achievement records, and reflection-to-next-week plan tables. The update cadence is rolling weekly updates as activities progress: observation records and area plans must correspond, material placement quantities must match the plans, activity objective achievement must be consistent with observations, and reflections must be carried into next week's plans. Field characteristics include activity name, area, material name, quantity, objective, observation description, and reflection entries. When entering the vector model and indexing function, observation records and area plans serve as source data rows, material placement quantities and objective achievement records serve as comparison materials, reflection-to-next-week plans serve as the update basis, and the unified terminology table and comparison draft are completed by subsequent nodes.
Configuration and implementation checks
This step is executed by the indexing service and vector store, outputting vectors and index status (whether recall is possible, whether data in the same group is merged). "Unified terminology table and comparison draft" is then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Observation records and area plan corresponding materials | The same term is consistent throughout, the translated name can refer back to the source text, and observation records correspond item by item with area plans | In the knowledge base settings, check that the indexing model is consistent with the vector model actually used by the knowledge base; open a data row and check whether the index field contains multiple vector identifiers; after retrieval, see whether data in the same group is merged |
| Material placement quantities and activity objective achievement materials | Material placement quantities match the area plans, and activity objective achievement is consistent with observation records | Check the material placement list quantities against the area plan quantities, check whether the activity objective achievement records match the observation descriptions, and during retrieval confirm that the same group of data takes the highest score and is not duplicated |
| Reflection-to-next-week plan materials | Reflection entries are carried into next week's plans, and plans are updated as activities progress | View the data scope covered by the rebuild task, confirm that after changing models it is triggered only for data that has already been indexed, and check that the data row status is indexed and the rebuild task records |
| Unified terminology table and comparison draft | The same term is consistent throughout, and the translated name can refer back to the source text | Sample three terms and check whether their wording is consistent throughout; check the tokens of the cited text; record the array count separately; confirm that the limit budgets are not mixed |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of source data corresponds to multiple vector identifiers, the highest score was not taken during merging, or material placement quantities and area plans do not correspond, causing duplicate ingestion.
- Symptom: recall quality drops after changing models. Inspect the following: the rebuild task is triggered only for data that has already been indexed, does not cover all data rows, and materials whose activity objectives do not match observations are not re-indexed.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: the index field is missing vector identifiers, or the reflection-to-next-week plan was not updated, and insufficient materials prevent the source data from entering the index.
How to verify the setup
Acceptance for this function: sample one data row to inspect the index field, then retrieve once to see whether the same group is merged, confirm the status is indexed and the rebuild task records, and check the defaultToken and maxToken budgets.
Business test: sample three terms and check whether their wording is consistent throughout, check that the translated names can refer back to the source text, and confirm that observation records correspond with area plans, material placement quantities match, activity objective achievement is consistent with observations, and reflection-to-next-week plans have been updated.
- In the knowledge base settings, check that the indexing model is consistent with the vector model actually used by the knowledge base; open a data row and check whether the index field contains multiple vector identifiers.
- View the data scope covered by the rebuild task, confirm that after changing models it is triggered only for data that has already been indexed, and check that the data row status is indexed and the rebuild task records.