What this category's data looks like
Teacher qualification exams and certification involve written and interview registration forms, Mandarin proficiency certificates, medical examination forms, and other materials, containing fields such as name, ID document number, education, exam subjects, scores, dates, and signatures. Multilingual materials and terminology processing requires unifying the same term across all materials, such as registration form subject names, certificate level wording, and medical examination conclusion wording, ensuring that translated names can refer back to the source text. Material sources are the registration system, certificate issuing agencies, and medical examination units, and the update cadence changes with exam batches and certification batches. When entering this feature, registration form fields are used for conversational Q&A and retrieval positioning, certificate and medical examination form fields are used for terminology comparison and consistency verification, and model binding relationships determine the model types available for the conversation and retrieval stages.
Configuration and implementation checks
This step is executed by the server-side model channel configuration, outputting model binding relationships and channel responses. The unified terminology table and comparison draft are then completed by subsequent AI nodes, code nodes, or manual work. Model types are divided into five categories: language, indexing, reranking, speech synthesis, and speech recognition. Different stages bind different model types, and the type labels need to be checked in the model configuration.
| Object | Check | Verification action |
|---|---|---|
| Written and interview registration form | Fields, dates, and signatures must be consistent with the Mandarin proficiency certificate and medical examination form | Check the name, subject, date, and signature fields, compare against the model name returned by the channel, and verify the maxContext and maxTokens labels |
| Mandarin proficiency certificate | The level wording and the registration form subject name must be able to refer back to the source text | Check the certificate number, level, and issue date, inspect errors related to the indexing model, and verify the quoteMaxToken citation budget |
| Medical examination form | The conclusion wording, date, and signature must align with the registration form records | Check the medical examination conclusion, date, signature, and receipt, inspect the stage bound to toolChoice, and confirm the model identifier matches the documentation |
| Model type | Corresponds to the stage in which it is to be used | Check the type labels in the model configuration and compare against the model name returned by the channel |
Three common errors
- Symptom: The name and date of the same record do not match between the registration form and the medical examination form. Cause: The two material versions were not synchronized, and field updates were not written back.
- Symptom: The Mandarin proficiency certificate level wording is inconsistent with the registration form subject name. Cause: The terminology table was not unified, and the translated name cannot refer back to the source text.
- Symptom: Retrieval reports indexing model-related errors or authentication failures. Cause: The channel key is inconsistent with the connected service, and the model type binding is incorrect.
How to verify the setup
Feature acceptance: run one conversation and one retrieval, check the model identifier in the response, and confirm that the maxContext, maxTokens, quoteMaxToken, and toolChoice labels are consistent with the channel response.
Business testing: sample three terms and check whether their spelling is consistent throughout the entire document.
- Check the channel configuration and key source, and confirm that the model identifier matches the name listed in the documentation.
- Check that the model type corresponds to the stage in which it is to be used, and inspect the binding of the indexing model and the reranking model.