Vector Models and Indexes for Vocational School Student Internships: Handle Multilingual Materials and Terminology

Student Internships: 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

Vocational school student internship management materials include three categories: internship agreements, internship plans, and internship logs, involving on-campus supervising teachers, enterprise mentors, and academic affairs administrators. Agreements contain position names, internship durations, insurance clauses, and signatures from both parties; plans contain weekly schedules, rotation departments, task objectives, and approval signatures; logs contain dates, work hours, position tasks, and mentor comments. The three categories of materials are often submitted in parallel in Chinese, English, or the language of the partner enterprise's country. The same terminology is written differently across language versions, the names, quantities, and dates of the same record do not match between agreements and plans, versions are not synchronized so old drafts overwrite new drafts, and signatures or receipts are missing. Materials enter the knowledge base in batches, forming a foundational corpus for multilingual comparison and terminology unification, supporting subsequent retrieval and citation trimming.

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 table and comparison drafts are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).

ObjectCheckVerification action
Internship agreementPosition name, internship duration, insurance clauses, and signatures from both parties are aligned item by item between the agreement and the plan, and dates and quantities can be traced back to the original textOpen an agreement data row to check the index fields, confirm that multiple vector identifiers are complete, then search the position name to see whether the same group is merged
Internship planWeekly schedules, rotation departments, task objectives, and approval signatures are consistent with the agreement fields, and the version number and effective date are synchronizedIn the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, and view the data range covered by the rebuild task
Internship logDates, work hours, position tasks, and mentor comments correspond to the plan weeks, and receipts and signatures are completeSample a log data row to look at the index fields, search the date and work hours, and confirm that data in the same group is merged and the highest score is taken
Data row index fieldsMultiple vector identifiers for one piece of data are all present, and the image description index or image vector index coexists with the text indexOpen a data row to check the index fields, confirm the status is indexed, and record the rebuild task record

Three common errors

  • Symptom: The names, quantities, and dates of the same record do not match between the agreement and the plan. Inspect the following: Multilingual versions were imported separately, terminology was not unified, and fields were not cross-checked.
  • Symptom: Old drafts overwrite new drafts, and the plan version is not synchronized. Inspect the following: The version number and effective date were not updated with the materials.
  • Symptom: Logs lack signatures or receipts, and duplicate entries appear in retrieval results. Inspect the following: One piece of data corresponds to multiple vector identifiers, and the merge rule was not executed as taking the highest score per group.

How to verify the setup

Feature acceptance: Sample a data row to look at the index fields, confirm that multiple vector identifiers are complete and the status is indexed, then search once to see whether the same group is merged and whether the highest score is taken.

Business test: Sample three terms to check whether their spelling is consistent throughout the entire text, whether translated names can be traced back to the original text, and record the number of citations and the quoteMaxToken budget, recording the array count separately.

  • In the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, and view the data range covered by the rebuild task record.
  • Open a data row to check the index fields, confirm that multiple vector identifiers are all present, and that during retrieval data in the same group is merged and the highest score is taken; adjust defaultToken and maxToken if necessary.