What this category's data looks like
This page addresses multilingual materials and terminology processing for enterprise new employee onboarding training scenarios. Material sources include three types: onboarding training plans, course sign-in sheets, and job descriptions. Training plans contain fields such as course name, class hours, instructor, and date; sign-in sheets contain student name, department, sign-in time, and signature column; job descriptions contain job title, responsibilities, qualification requirements, version number, and approval signature. These materials enter the document parsing and chunking stage in parallel in multilingual versions. Training plans serve as the baseline source for terminology and course names, sign-in sheets provide personnel and attendance records, and job descriptions carry job terminology and responsibility statements. The update cadence changes with onboarding batches and version revisions. After materials enter this feature, they are each parsed into data rows, used for subsequent retrieval and generation of terminology comparison drafts.
Configuration and implementation checks
This step is executed by parsing and training tasks (server-side tasks), outputting data rows and index status (parsed, indexing, indexed). The unified terminology glossary and comparison drafts are then completed by retrieval and subsequent processing. After parsing is completed, parsing and chunking are immediately persisted as visible data rows and bound to a unique data identifier. Indexing flows through three states; data pending indexing does not participate in recall, and changing models only rebuilds data that has completed indexing.
| Object | Check | Verification action |
|---|---|---|
| Onboarding training plan | Course name, class hours, instructor, date, and signature column must be traceable back to the original text across multilingual versions | Check the respective identities of the file record and the data row, and confirm that the chunks produced by chunkSize and chunkSplitter can cover the course name and date fields |
| Course sign-in sheet | Student name, department, sign-in time, and signature column must be consistent across different materials for the same record | Check that the data row status is one of parsed, indexing, or indexed and is consistent with the interface display, and sample three terms to check their spelling throughout the entire document |
| Job description | Job title, responsibilities, qualification requirements, version number, and approval signature must be version-synchronized | Look at the data rows covered by the rebuild task, confirm that only data with completed indexing is covered, and check the processing mode corresponding to trainingType |
| Data row | Is in one of the three states and is consistent with the interface display | Open the data row to check its status, and confirm that data pending indexing is not recalled |
Three common errors
- Symptom: The same student name is written differently in the sign-in sheet and the training plan. Cause: The versions of the two materials are not synchronized, terminology is not unified, and the translated name cannot be traced back to the original text.
- Symptom: The job title in the job description does not match the course name in the training plan. Cause: The names and dates of the same record in the two materials have not undergone terminology comparison.
- Symptom: The sign-in sheet lacks a signature or receipt. Cause: The materials were not signed before entering parsing; although the data row has been persisted, the business fields are incomplete.
How to verify the setup
This feature acceptance: Upload one material, observe the data row status transitions and the coverage scope of the rebuild task, confirm that parsing and chunking are immediately persisted after parsing is completed and bound to a unique data identifier, that indexing flows through the three states parsed, indexing, and indexed, and that changing models only rebuilds data that has completed indexing.
Business test: Sample three terms to check whether their spelling is consistent throughout the entire document
- Check the file record and the data row separately, confirm that the respective identities of the file record and the data row can be distinguished, and check whether the chunks produced by
chunkSizeandchunkSplittercover the terminology fields. - Open the data row to check its status, confirm that it is one of parsed, indexing, or indexed and is consistent with the interface display, and see whether the data rows covered by the rebuild task only include data with completed indexing.