What this category's data looks like
This page addresses material handling scenarios for examination organization and violation handling, covering three types of materials: examination manuals, examination room record sheets, and violation fact records. Examination manuals provide the process and terminology baseline, examination room record sheets carry time, examination room, personnel, and process fields, and violation fact records carry fact descriptions, evidence pointers, handling basis, and signature receipts. The material source is archiving and version distribution by the examination affairs department, and the update cadence is synchronized with examination batches and regulation revisions. When entering this feature, the materials are first split and vectors are generated, then the indexing service writes them into the vector database, while the original data and vector identifiers remain in the business database data tables. Field characteristics include record number, date, examination room number, number of people, violation entries, handling conclusion, and signature column. The name, quantity, and date of the same record across multiple materials must be traceable back to the original text.
Configuration and implementation checks
This step is executed by the indexing service and the vector database, outputting vectors and index status (whether recall is possible and whether data in the same group is merged). The "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 |
|---|---|---|
| Examination manual | Terminology and process fields must be aligned item by item with the examination room record sheet and violation fact records; dates and signature columns must not be missing | Extract three terms by record number, and check the wording throughout the entire document and the back-reference to the original text |
| Examination room record sheet | Examination room number, number of people, date, and violation entries must be consistent with the violation fact records; receipts and signatures must be complete | Open the data row and check the index fields corresponding to that record, confirming that multiple vector identifiers are all present |
| Violation fact record | Fact description, handling basis, signatures, and receipts must be synchronized with the version of the examination manual; names and quantities must not conflict | Check the data scope covered by the rebuild task, and confirm that data already indexed after the model change has been triggered |
| Index model | Consistent with the vector model actually used by the knowledge base; defaultToken and maxToken are set according to the material splitting budget | Check the index model in the knowledge base settings, and sample a data row to inspect the index fields |
Three common errors
- Symptom: The name, quantity, and date of the same record do not match between the examination manual and the violation fact record. Inspect the following: Terminology in multilingual materials is not unified, and after splitting they become separate segments, lacking a comparison draft that back-references the original text.
- Symptom: Versions are not synchronized, and old regulations are still recalled. Inspect the following: After changing the model, rebuilding is only triggered for data that has already been indexed; data rows that have not completed indexing do not participate in recall.
- Symptom: Missing signatures or receipts, and duplicate entries appear in retrieval results. Inspect the following: The same group of data corresponds to multiple vector identifiers, and when merging, the highest score is taken, but incomplete original data fields cause citation trimming to pick up residual segments.
How to verify the setup
This feature's acceptance check: sample a data row to inspect the index fields, confirm that multiple vector identifiers are all present and the status is indexed; then retrieve once to see whether data in the same group is merged, and check the rebuild task records.
Business test: sample three terms to check whether the wording is consistent throughout the entire document, and confirm that translated names can back-reference the original text; the number of citations is recorded by array length, and the tokens of the cited text are checked separately.
- Open a data row, check the multiple vector identifiers in the index fields, and confirm that the status is indexed.
- Check the data scope covered by the rebuild task records, and confirm that after the model change, only data that has already been indexed is triggered.