What this category's data looks like
This page addresses the scenario of registration review for professional and technical personnel qualification examinations. The materials include registration forms, education certificates, and work experience certificates, sourced from submissions by applicants and review archives, with updates synchronized with batches and supplementary materials. The registration form carries identity, application level, and employer information; the education certificate carries school, major, and graduation date; the work experience certificate carries position, start and end dates, and signature. When the three materials enter the model access and configuration stage, each serves as a text source to be retrieved and cross-checked: the registration form is used to verify names and application information, the education certificate is used to verify major and dates, and the work experience certificate is used to verify years and signatures. Field characteristics center on name, ID number, education level, major name, start and end dates, employer name, signature, and receipt; the same record must be traceable back to the original text across multiple materials, and terminology translations must be consistent throughout.
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 glossary and comparison draft are completed subsequently by AI nodes, code nodes, or manual work. The five types of models—language, indexing, reranking, speech synthesis, and speech recognition—are bound to their corresponding steps respectively, and the model identifier must match the channel return name.
| Object | Check | Verification action |
|---|---|---|
| Language model | The fields, dates, and signatures of the registration form, education certificate, and work experience certificate must be compared item by item | In the model configuration, verify that the type is labeled as language model, and check the values of maxContext, maxTokens, and toolChoice |
| Indexing model | The name, quantity, and date of the same record in two materials must be traceable back to the original text | Check the channel configuration and key source, verify the indexing model type label, and record the tokens and array count of the referenced text |
| Reranking model | When versions are not synchronized or signatures/receipts are missing, retrieval results must be able to distinguish material versions | Compare against the model name returned by the channel, verify the reranking model type label, and check quoteMaxToken as the reference content budget |
| Speech recognition | After transcription of speech materials, terminology must be consistent with written materials | Check the channel configuration and key source, verify the speech recognition type label, and sample three terms to check whether their spelling is consistent throughout |
Three common errors
- Symptom: The name and date of the same record do not match between the registration form and the work experience certificate. Cause: The two material versions are not synchronized, and the terminology glossary is not unified.
- Symptom: The education certificate lacks a signature or receipt, but the retrieval result still returns that entry. Cause: The material version and receipt status are not labeled in the comparison draft.
- Symptom: Retrieval reports an indexing model-related error or authentication failure. Cause: The channel key is inconsistent with the connected service, and the model identifier does not match the name listed in the documentation.
How to verify the setup
This feature's acceptance: run one conversation and one retrieval, check the model identifier in the response, and check the values of maxContext, maxTokens, toolChoice, and quoteMaxToken.
Business test: sample three terms to check whether their spelling is consistent throughout, and check whether the name, quantity, and date of the same record in the registration form, education certificate, and work experience certificate can be traced back to the original text.
- In the model configuration, verify the type labels and binding relationships of the five types of models: language, indexing, reranking, speech synthesis, and speech recognition.
- Check the channel configuration and key source, compare against the model name returned by the channel, and record the tokens and array count of the referenced text.