What this category's data looks like
This page addresses multilingual materials and terminology processing in the social assessment of occupational skill level certification. Material sources include assessment implementation plans, candidate registration forms, assessor dispatch forms, as well as multilingual parallel drafts and a unified terminology glossary. The update cadence advances with batches: after the implementation plan is finalized, registration forms and dispatch forms are filled in by batch, and the glossary is maintained in sync with the multilingual materials. Field characteristics center on names, occupation names, levels, dates, quantities, and signature receipts. When entering this function, the implementation plan provides the assessment scope and terminology baseline, the registration forms and dispatch forms provide personnel and dispatch records, and the multilingual materials and glossary provide the basis for comparison; these materials are first split and used to generate vectors and indexes, and subsequent nodes then produce the unified terminology glossary and parallel drafts based on them.
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 "unified terminology glossary and parallel drafts" are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials). The indexing model is consistent with the vector model actually used by the knowledge base, and data rows record multiple vector identifiers in the index field.
| Object | Check | Verification action |
|---|---|---|
| Assessment implementation plan | Whether the name, level, date, and signature match the registration forms and dispatch forms item by item | Extract the occupation name and level from the plan, and check the name, quantity, and date of the same record in the registration forms and dispatch forms; check whether the data row status is indexed |
| Candidate registration form | Whether the same candidate's name, quantity, and date are consistent across the two materials, and whether signatures or receipts are complete | Open a data row to check whether the index field contains multiple vector identifiers, and check the signature receipts of the registration forms and dispatch forms; check the values of defaultToken and maxToken |
| Assessor dispatch form | Whether the dispatch records are synchronized with the dates and quantities of the implementation plan, and whether the versions are consistent | Check the data scope covered by the rebuild task, and confirm that after changing the model, only data that has already been indexed is triggered; check the values of defaultToken and maxToken |
| Multilingual materials and glossary | Whether the same term is written consistently throughout, and whether the translated name can refer back to the source text | Sample three terms to check whether their writing is consistent throughout, and check whether the indexing model is consistent with the knowledge base settings; check the values of defaultToken and maxToken |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of data corresponds to multiple vector identifiers, and merging did not consolidate by the original data, so taking the highest vector score did not take effect.
- Symptom: the same record's name, quantity, and date do not match between the implementation plan and the registration form. Inspect the following: the versions of the two materials were not synchronized, and after filling in, the unified terminology glossary was not written back.
- Symptom: the dispatch form lacks a signature or receipt. Inspect the following: the signature receipts were not fully collected during the material circulation step, the business fields are incomplete.
How to verify the setup
This function's acceptance: sample a data row to look at the index field, confirm that multiple vector identifiers are all present, and check that the indexing model is consistent with the vector model actually used by the knowledge base; then retrieve once more to see whether the same group of data is merged and whether the vector score takes the highest score; for status values, only indexed and rebuild task records are recognized; check the values of defaultToken and maxToken.
Business test: sample three terms to check whether their writing is consistent throughout, and check whether the translated names can refer back to the source text.
- Open a data row to check the index field, confirm that multiple vector identifiers are all present, and view the data scope covered by the rebuild task.
- In the knowledge base settings, check the indexing model, confirm that it is consistent with the vector model actually used by the knowledge base, and then retrieve once more to see whether the same group is merged.