What this category's data looks like
This page addresses student disciplinary and appeal processing scenarios. The materials come from three types of documents: disciplinary fact materials, disciplinary decision letters, and appeal letters, and are typically updated in batches by semester or case milestone. Disciplinary fact materials provide the original records, disciplinary decision letters carry the formal conclusions, and appeal letters reflect objections and supplementary facts. When these three types of materials enter this feature, each participates in indexing as an independent data row, to support subsequent terminology unification and generation of comparison drafts. Field characteristics include the party's name, disciplinary facts, disciplinary type, date, signature and receipt, and the same record may appear repeatedly across multiple materials.
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). "Unified terminology table and 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 |
|---|---|---|
| Disciplinary fact materials | The party's name, disciplinary facts, date, signature and receipt must correspond item by item with the disciplinary decision letter and appeal letter | Open a data row to check the index fields, confirm that multiple vector identifiers are all present, then run a retrieval once to see whether data in the same group is merged |
| Disciplinary decision letter | The disciplinary type, date, signature and receipt must be consistent with the disciplinary fact materials and appeal letter, and the version must be synchronized | Check whether the data row's index status is indexed, and review the coverage scope of the rebuild task records |
| Appeal letter | The appeal reasons, date, signature and receipt must be traceable back to the original text, and terminology usage must be consistent throughout the document | Sample three terms to check whether their usage is consistent throughout the document, and verify that the tokens and array count of the cited text are recorded separately |
| Data row index fields | Multiple vector identifiers for one piece of data are all present, and data in the same group is merged after retrieval with the highest score taken | Open a data row to check the index fields, confirm that the vector identifiers are complete and recallable |
Three common errors
- Symptom: The name, quantity, and date of the same record do not match between the disciplinary fact materials and the disciplinary decision letter. Inspect the following: Multiple materials were imported separately, without terminology and field alignment.
- Symptom: The version of the disciplinary decision letter is not synchronized, and the appeal letter still cites the old conclusion. Inspect the following: Data rows.
- Symptom: The appeal letter lacks a signature or receipt, and duplicate entries appear in retrieval results. Inspect the following: Data in the same group is not merged, and the mechanism of taking the highest vector score does not cover all identifiers.
How to verify the setup
Feature acceptance: sample one data row to inspect the index fields and confirm that multiple vector identifiers are all present; then run a retrieval once to see whether data in the same group is merged and whether the highest score is taken, and check whether the index status is indexed and the coverage scope of the rebuild task records, while also verifying that the budgets of limit in the cited text and the array count are recorded separately.
Business test: sample three terms to check whether their usage is consistent throughout the document, and confirm that translated names can be traced back to the original text.
- In the knowledge base settings, verify that the indexing model is consistent with the vector model actually used by the knowledge base
- Open a data row to check the index fields and confirm that multiple vector identifiers are all present