What this category's data looks like
This page addresses business basis queries in school moral education and homeroom teacher work scenarios, involving three types of materials: thematic class meeting plans, student comprehensive quality records, and home visit records. Thematic class meeting plans contain activity objectives, procedures, dates, and homeroom teacher signatures; student comprehensive quality records contain evaluation dimensions, semesters, quantities, and parent receipts; home visit records contain time, subject, issues, and signatures of both parties. The material source is internal archiving by the kindergarten or school, updated by semester or activity batch, and the version is based on the current signed version. When entering this function, the three types of materials are imported as independent datasets, each generating vectors and indexes, and the original data rows and index fields are retained in the business database, so that during retrieval they can be merged back to the original data by identifier.
Configuration and implementation checks
This link is executed by the index service and vector database, outputting vectors and index status (whether they can be recalled, whether data in the same group is merged). "Basis entries that can point back to the original text" are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Thematic class meeting plan | Fields contain activity objectives, procedures, dates, and homeroom teacher signatures; the name, quantity, and date of the same activity in two materials must match, and the version must be the current signed version | Open a data row to check the index fields, confirm that multiple vector identifiers are present, and check whether the date and signature are consistent with the current version |
| Student comprehensive quality record | Fields contain evaluation dimensions, semesters, quantities, and parent receipts; the name, quantity, and date of the same record in two materials must match, and missing receipts must be marked | In the knowledge base settings, check that the index model is consistent with the vector model actually used, and review the data scope covered by the rebuild task |
| Home visit record | Fields contain time, subject, issues, and signatures of both parties; the name, quantity, and date of the same record in two materials must match, and if the version is not synchronized, it must point back to the current version | Retrieve a cross-material basis question once, see whether data in the same group is merged and whether it can point back to the original text, and record the number of citations and the limit budgets |
| Index service and vector database | Vectors are stored in the vector database, original data is stored in the business database's data table, and the corresponding multiple vector identifiers are recorded in the index fields; retrieval first recalls vectors, then merges back to the original data by identifier, and for the same group of data takes the highest score | Sample a data row to look at the index fields, then retrieve once to see whether the same group is merged; for status values, only indexed and rebuild task records are recognized |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of data corresponds to multiple vector identifiers, and the merge step does not consolidate by highest score, causing the same record to be recalled multiple times.
- Symptom: recall quality drops after changing models. Inspect the following: the index model is inconsistent with the vector model actually used by the knowledge base, and the rebuild task is triggered only for data that has already been indexed, not covering all data.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: the version is not synchronized, the current signed version is not imported or the index fields are missing, and the name, quantity, and date of the same record in two materials do not match.
How to verify the setup
This function's acceptance: sample a data row to look at the index fields and confirm that multiple vector identifiers are present; then retrieve once to see whether data in the same group is merged and whether the score takes the highest value, and check the status value indexed and the rebuild task records.
Business test: ask a cross-material basis question, see whether the answer gives a traceable source, and separately record the number of citations and the limit budgets.
- In the knowledge base settings, check that the index model is consistent with the vector model actually used, and review the data scope covered by the rebuild task.
- Open a data row to check the index fields and confirm that multiple vector identifiers are present; retrieve once to see whether the same group is merged, and record the number of citations and the
limitbudgets.