Vector Models and Indexes for Public Vocational Skills Level Assessment: Maintain Document Versions and Changes

Skills Certification: review vector indexes for version tracking. Check source versions, input mappings and the values received by downstream nodes.

What this category's data looks like

The category materials for social evaluation of vocational skill level certification include the evaluation implementation plan, candidate registration forms, and assessor dispatch forms, with fields covering name, occupation (work type), level, date, and signature. The evaluation implementation plan defines the certification scope, process, and scoring rules; the candidate registration form records registration information and receipts; the assessor dispatch form lists the dispatch roster and signatures. The material sources are evaluation institutions and test sites, and the update cadence changes with batch adjustments, roster changes, and policy revisions. When entering the vector model and index function, the evaluation implementation plan provides the rule basis, the candidate registration form and assessor dispatch form provide field and signature evidence, and together the three form the comparison draft for the version ledger and change records.

Configuration and implementation checks

This step is executed by the index service and vector database, and outputs vectors and index status (whether recall is possible, whether data in the same group is merged). The "version ledger and change records" are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).

ObjectCheckVerification action
Evaluation implementation planWhether the fields, dates, and signatures are consistent with the candidate registration form and assessor dispatch form, and whether the version number is uniqueOpen the data row to check the index fields, confirm that one data record corresponds to multiple vector identifiers, and after retrieval check whether the same group is merged
Candidate registration formWhether the name, quantity, and date of the same record match across the implementation plan and dispatch form, and whether receipts and signatures are completeCheck in the knowledge base settings that the index model is consistent with the actual vector model, and review the defaultToken and maxToken budgets
Assessor dispatch formWhether the names, occupations (work types), levels, and dates in the dispatch roster are consistent with the registration form, and whether missing signatures or receipts are markedCheck the data scope covered by the rebuild task, and confirm that after changing the model, only data that has already been indexed is triggered
Data rowWhether the index fields completely record multiple vector identifiers, and whether the status is indexedSample one data row to check the index fields, then retrieve once more to see whether the same group is merged

Three common errors

  • Symptom: duplicate entries appear in retrieval results. Inspect the following: multiple vector identifiers for the same group of data are not completely recorded in the index fields, and the highest score is not taken when merging back into the original data.
  • Symptom: recall quality drops after changing the model. Inspect the following: data rows that have not completed indexing do not participate in recall, so indexing must be completed before rebuilding.
  • Symptom: the name, quantity, and date of the same record do not match across the two materials. Inspect the following: versions are not synchronized, the old version leaves no trace, and citations are not updated with the current version.

How to verify the setup

Acceptance for this function: sample one data row to check the index fields and confirm that multiple vector identifiers are complete; then retrieve once more to see whether data in the same group is merged and whether the highest score is taken.

Business test: change one piece of content and see whether the version number and citations are updated synchronously; check the tokens and array count of the cited text, and record the two separately.

  • In the knowledge base settings, check that the index model is consistent with the vector model actually used, and record the defaultToken and maxToken budgets.
  • Open one data row to check the index fields, confirm that the status is indexed, and review the data scope covered by the rebuild task records.