What this category's data looks like
This page addresses the scenario of multilingual materials and terminology handling for peer review organizations. The material sources include three types of records: review invitations, expert review comments, and author revision notes, with the update cadence advancing alongside manuscript circulation and version iterations. Review invitations carry expert information and invitation dates, expert review comments carry review conclusions, comment body text, and signed receipts, and author revision notes carry point-by-point responses, revision locations, and version markers. When these three types of materials enter this feature, each participates in indexing as an independent data row or as part of a group of data rows, and the fields, dates, and signatures of the terminology glossary and the comparison draft need to be compared and unified in subsequent nodes.
Configuration and implementation checks
This step is executed by the indexing service and the vector database, outputting vectors and indexing status (whether recall is possible, whether data in the same group is merged). "Unify the terminology glossary and the comparison draft" is then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Review invitation | Whether the expert name, invitation date, and signed receipt can be traced back to the same record in the review comments | In the knowledge base settings, check the indexing model, open a data row to check the index fields, and confirm whether the vector identifiers corresponding to defaultToken and maxToken after text segmentation are complete |
| Expert review comments | Whether the writing of the same term is consistent throughout the text, and whether the translated name can be traced back to the original text | Run a retrieval to see whether data in the same group is merged; if duplicate entries appear, check whether the data row index fields record multiple vector identifiers |
| Author revision notes | Whether the names, quantities, and dates in the revision notes match the review comments, and whether the versions are synchronized | Check the data scope covered by the rebuild task; after changing the model, trigger a rebuild only for data that has already been indexed, and verify the status value against indexed and the rebuild task records |
| Data row index fields | Whether multiple vector identifiers for one piece of data are all present | Open a data row to check the index fields, and confirm the merged result for data in the same group after the vector score takes the highest score |
Three common errors
- Symptom: The expert name and date for the same record do not match between the review invitation and the review comments. Inspect the following: The two materials were imported separately and were not merged as data in the same group.
- Symptom: The author revision notes and the review comments are not synchronized in version, and terminology usage is inconsistent before and after. Inspect the following: After changing the model.
- Symptom: The review comments lack a signature or receipt, and although the data row has content during retrieval, it cannot be retrieved. Inspect the following: The index fields for that data row are empty or the vector identifiers were not written, so the recall stage cannot hit it.
How to verify the setup
Feature acceptance: Sample one data row to inspect the index fields, confirm that multiple vector identifiers are all present, then run a retrieval to see whether data in the same group is merged and whether the vector score takes the highest score, and verify the status value against indexed and the rebuild task records.
Business testing: Sample three terms to check whether their writing is consistent throughout the text, verify whether the translated names can be traced back to the original text, and confirm that the fields, dates, and signatures of review invitations, expert review comments, and author revision notes do not conflict.
- In the knowledge base settings, check that the indexing model is consistent with the vector model actually used by the knowledge base, and open a data row to check whether the index fields record multiple vector identifiers.
- Check the data scope covered by the rebuild task, confirm that after changing the model a rebuild is triggered only for data that has already been indexed, and verify that the referenced text tokens and array counts corresponding to
limitare recorded separately.