What this category's data looks like
Vocational college program setup filing materials include three types: the program setup filing form, talent demand justification, and faculty and equipment inventory. The materials come from academic affairs, secondary colleges, and human resources and equipment departments, and are updated by academic year or application batch. Fields cover program name, code, program length, enrollment number, faculty titles and equipment quantities, dates, signatures, and receipts. When entering this feature, the filing form serves as the main record, while the justification and inventory serve as supporting materials. Each is split separately to generate vectors and indexes for subsequent retrieval and citation trimming. The names, quantities, and dates of the same record across multiple materials must be traceable back, versions and signature receipts must be traceable, and terminology translations must be consistent throughout.
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). "Unified terminology glossary and comparison draft" is completed next 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 must fully record multiple vector identifiers.
| Object | Check | Verification action |
|---|---|---|
| Program setup filing form | Fields include program name, code, program length, enrollment number, date, and signature; the name, quantity, and date of the same record in two materials must match | Open a data row and check the index field to confirm that multiple vector identifiers are all present, the status is indexed, and verify the values of defaultToken and maxToken |
| Talent demand justification | The program name and quantity in the justification must be consistent with the filing form; when versions are not synchronized, the latest signature receipt prevails | Sample three terms and check whether their spelling is consistent throughout; verify whether the dates and signatures in the justification and filing form correspond; when citation limits are involved, check the tokens of the cited text |
| Faculty and equipment inventory | Faculty titles and equipment quantities must be traceable back to the source text in the filing form fields; records missing signatures or receipts are marked separately | Check the rebuild task records; after changing models, trigger only for data that has already completed indexing, and verify the budget for defaultToken and maxToken |
| Indexing model | Consistent with the vector model actually used by the knowledge base; the number of citations and the citation content budget are recorded separately | Check the indexing model in the knowledge base settings; when citation limits are involved, check the tokens of the cited text, record the array count separately |
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 logic does not take the highest score, so the same group of data is not merged.
- Symptom: the name, quantity, and date of the same record in two materials do not match. Inspect the following: versions are not synchronized; the filing form, justification, and inventory are updated separately, and signatures or receipts are missing.
- Symptom: recall quality drops after changing models. Inspect the following: the rebuild task is triggered only for data that has already completed indexing, does not cover all data rows, and the index field is inconsistent with the vector model.
How to verify the setup
Feature acceptance: sample one data row and inspect the index field to confirm that multiple vector identifiers are all present and the status is indexed, then retrieve once to see whether the same group is merged; check the rebuild task records, and after changing models trigger only for data that has already completed indexing, and verify the values of defaultToken and maxToken.
Business testing: sample three terms and check whether their spelling is consistent throughout; translations must be traceable back to the source text, and the same term must be consistent throughout.
- Check the indexing model in the knowledge base settings, confirm it is consistent with the vector model actually used by the knowledge base, and inspect the data scope covered by the rebuild task.
- Open a data row and check the index field to confirm that multiple vector identifiers are all present; when citation limits are involved, check the tokens of the cited text, record the array count separately, and verify the budget for
limit.