What this category's data looks like
Corporate compliance and safety training materials include three categories: compliance training courseware, safety operating procedures, and exam records. Their sources are multilingual versions, revised drafts, and receipt documents, and their update cadence follows regulatory and internal policy adjustments. Compliance training courseware contains chapter numbers, clause references, and terminology definitions; safety operating procedures contain equipment names, step numbers, quantities, and dates; exam records contain personnel identifiers, scores, signatures, and receipts. When multilingual materials enter this feature, courseware and procedures serve as the main carriers where terminology appears, exam records serve as corroborating evidence for consistency checks, and receipts and signed documents are used to confirm version synchronization. Field characteristics center on terminology translations, clause numbers, equipment names, quantities, dates, and signature fields. The same term must be consistent throughout, and its translation must be able to refer back to the source text.
Configuration and implementation checks
This step is executed by the indexing service and vector database, outputting vectors and index status (whether recall is possible and whether data in the same group is merged). "Unified terminology glossary and comparison draft" is then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials). Index status and merge results only reflect the correspondence between vectors and the original data; they do not generate a terminology glossary, comparison draft, or version ledger.
| Object | Check | Verification action |
|---|---|---|
| Compliance training courseware | Whether the translation of the same term is consistent throughout, and whether clause numbers and terminology definitions can refer back to the source text; whether the indexing model matches the vector model actually used by the knowledge base | Check the indexing model in the knowledge base settings, open a data row to verify whether the index field contains multiple vector identifiers, and run a retrieval to see whether data in the same group is merged |
| Safety operating procedures | Whether equipment names, step numbers, quantities, and dates match across the two materials; after changing models, trigger rebuild only for data that has already been indexed, and check the data scope covered by the rebuild task | Open a data row to check the index field, confirm the status value is indexed, check the coverage scope of the rebuild task record, and sample three terms to check whether their spelling is consistent throughout |
| Exam records | Whether personnel identifiers, scores, signatures, and receipts are complete, and whether the name, quantity, and date of the same record fail to match across the two materials; when versions are not synchronized, receipts are missing | Open a data row to check the index field, run a retrieval to see whether the same group is merged, check the signature and receipt fields, and confirm the tokens budget of the text referenced by limit |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of original data corresponds to multiple vector identifiers, the highest score was not taken during merging, or the index field of the data row is incompletely recorded.
- Symptom: recall quality drops after changing models. Inspect the following: rebuild is triggered only for data that has already been indexed, not covering all data rows, and unsynchronized versions lead to inconsistent terminology translations.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: the index field is missing or the status has not reached indexed, exam records lack signatures or receipts, or the name and date of the same record do not match.
How to verify the setup
Acceptance for this feature: sample one data row and inspect the index field to confirm that multiple vector identifiers are all present and the status is indexed; then run a retrieval again to see whether data in the same group is merged and whether the vector score takes the highest score.
Business testing: sample three terms to check whether their spelling is consistent throughout, verify that translations can refer back to the source text, and check whether the names, quantities, dates, and signatures of compliance training courseware, safety operating procedures, and exam records match.
- In the knowledge base settings, check that the indexing model matches the vector model actually used, open a data row to check the index field, confirm the tokens budget of the text referenced by
limit, and record the number of array entries separately. - Check the data scope covered by the rebuild task record, confirm that after changing models rebuild is triggered only for data that has already been indexed, and verify whether exam record signatures and receipts are complete.