Vector Models and Indexes for Degree Awards and Certificate Information Reporting: Handle Multilingual Materials and Terminology

Degree Certificates: review vector indexes for multilingual work. Check source versions, input mappings and the values received by downstream nodes.

What this category's data looks like

This page addresses the category of degree conferral and certificate information reporting, covering three types of materials: degree application forms, thesis review forms, and defense resolutions. The materials come from various training units and administrative departments within the institution, are submitted in batches and updated regularly, and include fields such as name, student ID, major, degree type, thesis title, review conclusion, defense date, signature, and receipt, and enter the processing workflow in the form of multilingual materials and terminology comparisons. Degree application forms are used to confirm application eligibility and basic information, thesis review forms are used to carry review opinions and conclusions, and defense resolutions are used to record defense results and voting details. The three types of materials corroborate each other in fields, dates, and signatures, and when entering this function they respectively serve as terminology extraction sources, comparison verification bases, and version traceability evidence, jointly supporting the generation of a unified terminology glossary and comparison draft.

Configuration and implementation checks

This step is executed by the indexing service and vector database, outputting vectors and index status (whether recall is possible, whether data in the same group is merged). The "unified terminology glossary and comparison draft" is then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials). The indexing model is consistent with the vector model actually used by the knowledge base, and data rows record multiple vector identifiers in the index field.

ObjectCheckVerification action
Degree application formThe name, student ID, major, and degree type of the same record in the thesis review form and defense resolution should be consistent, and the date and signature fields must be completeOpen the data row to check whether the index field contains multiple vector identifiers, and compare the names, quantities, and dates of the three materials
Thesis review formThe review conclusion, review date, and reviewer signature must be consistent with the corresponding record in the defense resolution, and the version must be synchronizedCheck the conclusion, date, and signature of the thesis review form and defense resolution, and confirm whether data in the same group is merged
Defense resolutionThe defense date, voting result, and signature receipt must be consistent with the degree application form and thesis review form, and no signature or receipt may be missingView the data scope covered by the reconstruction task record, and confirm whether the data that has completed indexing after the model change has been rebuilt
Data rowMultiple vector identifiers of one data item should all be in the index field, and the status should be indexedCheck the indexing model in the knowledge base settings, open a data row to check the index field and status

Three common errors

  • Symptom: Duplicate entries appear in retrieval results. Inspect the following: The same group of data corresponds to multiple vector identifiers, and after recall they are not merged back to the original data by identifier, and the score is not taken as the highest.
  • Symptom: The dates and quantities of the same record in the degree application form and defense resolution do not match. Inspect the following: The versions are not synchronized, the two materials are updated separately, and terminology and fields are not unified.
  • Symptom: A data row has content but cannot be retrieved. Inspect the following: After changing the model, reconstruction is triggered only for data that has already completed indexing, and data rows not covered still lack valid vector identifiers.

How to verify the setup

Acceptance of this function: sample a data row to see whether the index field contains multiple vector identifiers and the status is indexed, then retrieve once to see whether data in the same group is merged and whether the score is taken as the highest.

Business test: sample three terms to check whether their usage is consistent throughout the entire text, confirm that translated names can refer back to the original text, and check the coverage scope of the reconstruction task record.

  • In the knowledge base settings, check whether the indexing model is consistent with the vector model actually used by the knowledge base, and record the fields corresponding to defaultToken and maxToken.
  • Open a data row to check the index field, confirm that multiple vector identifiers are all present and the status is indexed, and view the data scope covered by the reconstruction task record.