What this category's data looks like
This page is aimed at exam organization and violation handling scenarios; the materials include three types: exam administration manuals, examination room record sheets, and violation fact records. The exam administration manual provides organizational procedures and handling basis, the examination room record sheet provides on-site process records, and the violation fact record provides individual case evidence entries. The source is versioned files submitted by each examination site by session, and the update cadence is synchronized revision and archiving after each exam. Field characteristics include candidate name, examination room number, exam subject, date, violation behavior description, quantity, signature, and receipt. When these three types of materials enter this function, the exam administration manual provides clause basis, the examination room record sheet provides process facts, and the violation fact record provides entries that can be traced back to the original text; the vector model and index are responsible for splitting the materials and generating vectors, so that cross-material basis queries can recall and merge the same group of data.
Configuration and implementation checks
This step is executed by the indexing service and vector database, and outputs vectors and index status (whether recall is possible and whether the same group of data is merged). The "basis entries that can be traced back to the original text" are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Exam administration manual | Clause numbers, effective dates, and signature fields must be consistent with the current version, and must match the references in the examination room record sheets and violation fact records | Check that the index model in the knowledge base settings is consistent with the manual's actual vector model, open a data row to see whether the index field contains multiple vector identifiers, and confirm the status is indexed |
| Examination room record sheet | Candidate name, examination room number, exam subject, date, quantity, and signature receipt must be aligned item by item with the violation fact records | Retrieve records from the same session, observe whether the same group of data is merged and whether the vector score takes the highest score, and check the coverage of the rebuild task record |
| Violation fact record | The violation behavior description, date, quantity, and signature must be traceable back to the original clause text in the exam administration manual, and the version must be current | Sample a data row to check the index field, confirm the status is indexed, then retrieve once more to see whether the same group of data can be recalled and merged |
| Data row index field | Multiple vector identifiers for one piece of data are all present, and are consistent with the vector model actually used by the knowledge base | Open the data row to check the length of the index field array, record the number of cited entries, separately check the tokens of the cited text and the quoteMaxToken budget, and check the limit values |
Three common errors
- Phenomenon: The name, quantity, and date of the same violation record do not match between the examination room record sheet and the violation fact record. Inspect the following: The two materials are entered separately and field alignment is not performed.
- Phenomenon: The exam administration manual clause has been updated, but the examination room record sheet still references the old version number. Inspect the following: The versions are not synchronized.
- Phenomenon: The violation fact record lacks a signature or receipt, but retrieval can still recall it. Inspect the following: The index only determines whether vectors can be recalled and whether the same group is merged; it does not verify the completeness of signatures and receipts.
How to verify the setup
This function's acceptance: sample a data row to check the index field, confirm that multiple vector identifiers are all present and the status is indexed; then retrieve once more to see whether the same group of data is merged and whether the vector score takes the highest score, and check defaultToken and maxToken.
Business test: ask a cross-material basis question, for example which clause in the exam administration manual is the basis for violation handling in a certain session, and whether the examination room record sheet and violation fact record are consistent, and see whether the answer gives a traceable source.
- In the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, and open the data row to check whether the index field contains multiple vector identifiers.
- View the data range covered by the rebuild task record, confirm that after changing the model it is triggered only for data that has completed indexing, and separately record the number of cited entries and the tokens of the cited text.