What this category's data looks like
This page addresses multilingual materials and terminology processing for continuing education credit recognition. Materials come from course filing forms, study certificates, credit recognition forms, and accompanying translations. The update cadence fluctuates with training batches, supplementary entries, and certificate renewal cycles. Course filing forms provide the course name, language, credit hours, teaching dates, and responsible person's signature; study certificates carry the learner's name, ID number, study start and end dates, completion status, and receipt seal; credit recognition forms summarize recognized credit hours, recognition date, handler, and review signature. When multilingual materials enter this feature, the vector model first generates an index, then the indexing service and vector database manage recall status, while the terminology table and comparison draft are completed by subsequent nodes. In terms of field characteristics, the name, quantity, and date of the same record are often scattered across multiple materials. When versions are not synchronized, signatures or receipts are missing, retrieval can only take supporting materials and cannot replace business judgment.
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 table and comparison draft are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Course filing form | Whether the same course name, language, credit hours, and date match across the filing form, study certificate, and credit recognition form | Check the course name, credit hours, teaching dates, and signature fields in the three materials, and confirm that the translated name can refer back to the original text |
| Study certificate | Whether the learner's name, ID number, study start and end dates, completion status, and receipt signature are consistent | Open the corresponding data row, check whether multiple vector identifiers in the index field are complete, then retrieve again to see whether the same group is merged |
| Credit recognition form | Whether the recognized credit hours, recognition date, handler, and review signature are consistent with the filing form and study certificate | View the data scope covered by the rebuild task, and confirm that after changing the model, only data with completed indexing is triggered |
| Index model | Consistent with the vector model actually used by the knowledge base | Check the index model in the knowledge base settings, and inspect the budget for limit, and reference text tokens; record the number of array entries separately |
Three common errors
- Symptom: The name and credit hours of the same course do not match between the filing form and the study certificate. Inspect the following: Multilingual materials are entered separately, versions are not synchronized, and the terminology table is not unified.
- Symptom: The study certificate lacks a signature or receipt, but the credit recognition form has already been summarized. Inspect the following: The material circulation step did not verify signatures and receipts.
- Symptom: Duplicate entries appear in retrieval results, or a data row has content but cannot be retrieved. Inspect the following: The index field does not record all vector identifiers, or after changing the model, rebuild coverage was not applied.
How to verify the setup
This feature's acceptance: sample one data row to inspect the index field, confirm that multiple vector identifiers are present and the status is indexed, then retrieve again to see whether the same group is merged; after changing the model, check the rebuild task records to confirm that only data with completed indexing is triggered.
Business test: sample three terms to check whether their spelling is consistent throughout the entire document, and verify that the translated names can refer back to the original text.
- In the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, and inspect the budget for
limit, and reference text tokens. - Open one data row to check the index field, confirm that multiple vector identifiers are complete, then view the data scope covered by the rebuild task records.