What this category's data looks like
This page addresses technical college formal education management; materials include student registration forms, teaching plans, and skills training records. Student registration forms are maintained by the admissions and registration department at semester registration checkpoints, with fields including name, program length, major, registration date, and signature; teaching plans are compiled by the academic affairs office by major and grade, with fields including course name, credit hours, semester offered, and approval signature; skills training records are filled in by training instructors by training batch, with fields including project name, training date, quantity, and instructor signature. After the three types of materials enter the knowledge base retrieval node, each serves as a citable source of original text fragments for subsequent nodes to compare whether the name, quantity, date, and signature of the same object are consistent, and to locate discrepant fields. In terms of update cadence, registration forms change with student status changes, teaching plans change with talent training program adjustments, and training records change as batches are completed; version synchronization and receipt completeness directly affect discrepancy location results.
Configuration and implementation checks
This step is executed by the citation output of the knowledge base retrieval node, which outputs an array of cited content, each entry containing an original text fragment and a source identifier, and the length may be 0. The discrepancy list is then completed by subsequent AI nodes, code nodes, or manual work.
| Object | Check | Verification action |
|---|---|---|
| Student registration form | Whether the same student's name, program length, registration date, and signature in the registration form are consistent with those in the teaching plan and skills training records | Open the citation marker to trace back to the original paragraph, compare name, quantity, and date field by field, and record inconsistent fields and source identifiers |
| Teaching plan | Whether the same course's name, credit hours, semester offered, and approval signature in the plan are consistent with the training records and registration form | Check whether the material version is synchronized with the currently effective version, verify whether the cited fragment corresponds to the original paragraph, and record missing signature items |
| Skills training record | Whether the same training project's name, training date, quantity, and instructor signature are consistent with the ledger and plan | Run a trial with one real record, check the cited array length and the number of matched materials, and verify the quoteMaxToken budget against the cited text tokens |
| Cited content output | The number of returned entries matches the matched materials; empty is also normal, and the output pipeline continues to run through | Run a trial with a question that has no matching materials, confirm the array is empty while the pipeline continues, and record the array length and citation information in responseData (non-streaming module results returned with detailed output enabled) and quoteList |
Three common errors
- Symptom: The name, quantity, and date of the same record do not match between the registration form and the training record. Cause: The two materials are filled in by different roles at their own cadence and are grouped under the same object without field-level comparison.
- Symptom: The teaching plan has been adjusted, but the training record still cites the old course name and credit hours. Cause: The version is not synchronized, and the cited fragment traces back to a historical paragraph without indicating the effective version.
- Symptom: The skills training record lacks the instructor's signature or receipt. Cause: After the batch is completed, the signature and receipt are not completed, the field is empty in the cited fragment, and discrepancy location lacks a basis.
How to verify the setup
This feature acceptance: ask a question with original text support and check whether the cited array and citation markers can trace back to the original paragraph; then ask a question with no matching materials, confirm the array is empty while the pipeline runs through, and record the array length and quoteMaxToken budget respectively.
Business test: use one real record to find fields inconsistent with the ledger, check name, quantity, date, and signature, record source identifiers and citation information in quoteList within responseData, and submit to the reviewer for confirmation and write-back.
- In the node, check the selected knowledge base collections and their vector models, and confirm that the selected knowledge bases use the same vector model.
- Open the search parameter panel and check the values item by item, keep them consistent with the values set in the knowledge base retrieval section, and record the array entry count and cited text tokens.