Vector Models and Indexes for Sino-Foreign Education Establishment and Annual Reports: Handle Multilingual Materials and Terminology

Joint Education: 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 category's data typically consists of application materials for the establishment and annual reports of Chinese-foreign cooperative education institutions, including the establishment application, cooperation agreement, articles of association, as well as the school-running status table, financial and faculty lists in subsequent annual reports. These materials often exist simultaneously in Chinese, foreign languages, and parallel texts, and the same institution name, program name, enrollment numbers, and signing dates appear repeatedly across different texts. The establishment application focuses on institutional attributes and school-running scale, the cooperation agreement focuses on the rights, obligations, and term of both parties, the articles of association focus on governance structure and rules of procedure, and the annual report summarizes operational data by year. When the materials enter this feature, each assumes a different evidentiary role: the application provides the institution's basic fields, the cooperation agreement provides the signing entities and validity period, the articles of association provide internal governance clauses, and the annual report provides annual execution data. In terms of update cadence, establishment-stage materials are relatively concentrated, while annual reports are submitted on a rolling annual basis, and versions easily become disconnected from the establishment texts. Field characteristics manifest as names, quantities, dates, and signature blocks appearing interleaved across multilingual texts, requiring unified terminology and parallel relationships before they can enter retrieval and citation.

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). "Unified terminology glossary and parallel texts" is then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).

ObjectCheckVerification action
Establishment applicationInstitution name, school-running level, enrollment numbers, and signing dates must be consistent with the cooperation agreement and articles of associationCompare the names, quantities, and dates in the three materials field by field, and check whether the signature blocks and receipts are complete
Cooperation agreementSigning entities, validity period, funding, and rights and obligations clauses must be traceable back to the corresponding paragraphs in the original textCheck whether the institution's translated name in the agreement is consistent with the wording in the articles of association and annual report, and verify the version number and signing date
Articles of associationTerminology for governance structure, rules of procedure, and termination clauses must be consistent throughoutSpot-check how three terms are written in the articles of association, application, and annual report, and confirm that translated names can be traced back to the original text
Data row index fieldsMultiple vector identifiers for one data row are all present, and data in the same group can be merged after retrievalOpen a data row to check the index fields, confirm the status is indexed, and review the coverage of the rebuild task records

Three common errors

  • Symptom: The same institution name is written differently in the application and the cooperation agreement. Inspect the following: The multilingual parallel texts have not unified terminology, and versions are not synchronized, causing the name in the same record to mismatch.
  • Symptom: Enrollment numbers or signing dates are inconsistent between two materials. Inspect the following: Annual report data and establishment texts are updated separately, lacking a version ledger and receipt verification.
  • Symptom: Retrieval results contain duplicate entries, or a data row has content but cannot be retrieved. Inspect the following: The index fields do not record all vector identifiers, or after changing models the rebuild task does not cover data that has already been indexed.

How to verify the setup

Feature acceptance: Sample one data row to check the index fields, confirm that multiple vector identifiers are all present and the status is indexed, then retrieve once to see whether the same group is merged; also review the data range covered by the rebuild task records.

Business testing: Sample three terms to check whether their wording is consistent throughout, confirm that translated names can be traced back to the original text, and verify that the tokens and array counts of the cited text are recorded separately.

  • In the knowledge base settings, verify that the index model is consistent with the vector model actually used by the knowledge base, and confirm the value conventions for defaultToken and maxToken.
  • Open a data row to check the index fields, confirm that multiple vector identifiers are all present, and review whether the rebuild task records cover data that has already been indexed.