Knowledge Base Retrieval for College Admissions and Application Placement: Handle Multilingual Materials and Terminology

College Admissions: review retrieval for multilingual work. Check source versions, input mappings and the values received by downstream nodes.

What this category's data looks like

At the stage of general higher education institution admissions enrollment and filing, the materials are mainly the enrollment plan, filing rules, and admission roster, plus multilingual parallel drafts and a terminology glossary. The enrollment plan gives the major group, batch, elective subjects, and planned number; the filing rules state the filing ratio, tie-breaking order, withdrawal conditions, and date nodes; the admission roster records the candidate number, name, score, major, and signed receipt. In multilingual materials and terminology processing, the three materials each play a role: the enrollment plan and filing rules provide field names and rule wording, and the admission roster provides record-level instances and signature status. Materials are updated in batches as the batches progress, and the version uses the release date and signed receipt as the basis for synchronization. Field characteristics are four categories: name, quantity, date, and signature. If the name, quantity, or date of the same record does not match across the two materials, or the version is not synchronized, or the signature or receipt is missing, it will affect subsequent retrieval and parallel draft generation.

Configuration and implementation checks

This step is executed by the knowledge base retrieval service (retrieval node and search test), outputting candidate snippets and similarity scores (after pattern, merge, rerank, filter, and limit trimming). The "unified terminology glossary and parallel draft" is completed by subsequent nodes or manually.

ObjectCheckVerification action
Enrollment planFields include major group, batch, elective subjects, planned number, date, and signatureIn the search test, search by major group name, check whether the planned number and date in the candidate snippets match the plan table, and record the number of candidates and the score
Filing rulesFields include filing ratio, tie-breaking order, withdrawal conditions, and effective dateTest once each with synonym-rewritten questions, compare candidates and scores, then toggle rerank on and off to see the ordering of the top few items, and confirm that the rule clauses have not been trimmed
Admission rosterFields include candidate number, name, score, major, and signed receiptSearch by candidate number, check the name, score, major, and signature status in the candidate snippets, and confirm that the name, quantity, and date of the same record match across the two materials
Multilingual parallel draftTerm translations can refer back to the source text, and the wording is consistent throughoutSample three terms and check whether the wording is consistent throughout, check the correspondence between the translations and the source text, and record the tokens and array count of the quoted text

Three common errors

  • Symptom: the name, quantity, or date of the same record does not match between the enrollment plan and the admission roster. Cause: the versions of the two materials are not synchronized, or the field definitions differ and were not aligned first.
  • Symptom: the same term has multiple translations in the multilingual parallel draft and cannot refer back to the source text. Cause: the terminology glossary is not unified, or the retrieved hit snippets come from different versions of the materials.
  • Symptom: the admission roster lacks a signature or receipt, and the materials cannot be released externally. Cause: the signature step is not completed, or the receipt was not archived together with the batch update.

How to verify the setup

Acceptance of this feature: test once each with synonym-rewritten questions, compare candidates and scores, then toggle rerank on and off to see the ordering of the top few items; record the number of candidates and the score, and check whether the values of searchMode, usingReRank, similarity, and limit are consistent with the returned results.

Business test: sample three terms and check whether the wording is consistent throughout, check that the translations can refer back to the source text, and confirm that the fields, dates, and signatures of the enrollment plan, filing rules, and admission roster match.

  • In the knowledge base search test, switch retrieval modes, compare the number of candidates and scores under the semantic, full-text, and hybrid modes, and confirm that the material form matches the mode.
  • Check the tokens and array count of the quoted text, record them separately, do not compare the number of quoted items with the quoted content budget as equal, and when the quote limit is involved, only check the tokens of the quoted text.