What this category's data looks like
Materials for multilingual materials and terminology handling in vocational college skills competition organization come from three categories: competition regulations, registration forms, and training plans, containing fields, dates, and signatures. The regulations provide event names, groups, times, and terminology definitions; the registration forms carry contestant and organization information; the training plans record stage arrangements and acknowledgments. The three categories of materials enter the knowledge base in Chinese-English or multilingual parallel versions, each serving the role of terminology source, record source, and progress source. The update cadence follows event notices, registration deadlines, and training stage advancement, and the names, quantities, and dates of the same record must remain traceable across different materials. Field characteristics are multilingual parallelism, high terminology repetition, and versions prone to forking. After materials enter this feature, they are first split into data rows and vectors are generated; the original data and index fields are retained together for subsequent retrieval and reference trimming.
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 table and parallel versions" is then completed by subsequent AI nodes, code nodes, or manual work (retrieval and reference trimming only take supporting materials). The indexing model must remain consistent with the vector model actually used by the knowledge base; after changing models, rebuild is triggered only for data that has already completed indexing.
| Object | Check | Verification action |
|---|---|---|
| Competition regulations | The same terminology is consistent throughout, translated names can refer back to the original text; fields, dates, and signatures match across the three categories of materials | Open one regulation data row, check whether the index field records multiple vector identifiers, and confirm the status is indexed |
| Registration form | The name, quantity, and date of the same record are consistent between the regulations and the registration form; missing signatures or acknowledgments must be marked | Sample three terms and check whether their spelling is consistent throughout, then retrieve once to see whether data in the same group is merged |
| Training plan | When versions are not synchronized, the data range covered by the latest rebuild task record prevails; the acknowledgment field must not be missing | Check the data range covered by the rebuild task, and confirm that after changing models, rebuild is triggered only for data that has already completed indexing |
| Data row index field | Multiple vector identifiers for one piece of data are all present; retrieval first recalls vectors and then merges back to the original data by identifier | Check the indexing model in the knowledge base settings, and check the reference text budget of limit |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of original data corresponds to multiple vectors, and merging did not consolidate by the highest score.
- Symptom: the name, quantity, and date of the same record do not match between the regulations and the registration form. Inspect the following: versions are not synchronized, and the old draft is still in the knowledge base.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: after changing models, rebuild is triggered only for data that has already completed indexing, so some data is not covered.
How to verify the setup
Feature acceptance: sample one data row to inspect the index field, then retrieve once to see whether the same group is merged; check whether the status is indexed, and inspect the data range covered by the rebuild task record.
Business test: sample three terms and check whether their spelling is consistent throughout, confirm that translated names can refer back to the original text, and that records missing signatures or acknowledgments have been marked.
- In the knowledge base settings, check that the indexing model is consistent with the vector model actually used by the knowledge base, and check the reference text tokens corresponding to
limit; record the number of array entries separately. - Open one data row to check whether the index field records multiple vector identifiers, then inspect the rebuild task record to confirm that after changing models, rebuild is triggered only for data that has already completed indexing.