Vector Models and Indexes for Vocational College Skills Competition Organization: Maintain Document Versions and Changes

Skills Competitions: 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

This category's data covers three types of materials: competition regulations, registration forms, and training plans. Sources include organizer-issued documents, internal college approvals, and coaching team training records. The update cadence changes with revisions to event regulations, registration deadlines, and adjustments to phased training. Competition regulation fields include event name, group, date, scoring criteria, and signature/seal; registration forms include contestant name, ID number, competition event, supervising instructor, and receipt signature; training plans include phase objectives, training content, dates, and coach signature. When materials enter the vector model and index feature, competition regulations serve as the basis, while registration forms and training plans serve as process evidence. Each is split and then generates vectors and records index fields, for subsequent retrieval and citation trimming.

Configuration and implementation checks

This step is executed by the index service and vector database, outputting 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
Competition regulationsWhether the event name, group, date, and signature are consistent with the registration form and training planOpen the regulation data row, check whether the index field contains multiple vector identifiers, and retrieve content in the same group to observe whether it is merged
Registration formWhether the contestant name, competition event, supervising instructor, and receipt signature match the training planIn the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, and view whether the data row status is indexed
Training planWhether the phase objectives, training dates, and coach signature are consistent with the competition regulation timelineView the data range covered by the rebuild task records, and confirm that after changing the model, rebuild is triggered only for data that has already completed indexing
Data rowWhether multiple vector identifiers for one piece of data are all present, and whether data in the same group can be mergedSample one data row to check defaultToken, maxToken, and the index field, then retrieve and see whether the same group is merged

Three common errors

  • Symptom: the same contestant name is written differently in the registration form and training plan, and retrieval recalls duplicate entries. Inspect the following: after splitting, the original data was not merged by the same group identifier, and the index field record is incomplete.
  • Symptom: the competition regulation date has been revised, but the training plan still references the old date. Inspect the following: the versions are not the same, then rebuilt.
  • Symptom: the registration form lacks a receipt signature, but that entry still appears in retrieval results. Inspect the following: the signature field was not included in material validation, and the index recalls only by text without distinguishing material completeness.

How to verify the setup

Feature acceptance: sample one data row to inspect the index field, confirm that multiple vector identifiers are all present, then retrieve once to see whether the same group is merged and whether the status is indexed, and check defaultToken, maxToken, and the rebuild task records.

Business test: change one piece of content and see whether the version number and citations are updated synchronously.

  • 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 row status and the coverage range of the rebuild task records.
  • Open one data row to check the index field, retrieve content in the same group to confirm whether it is merged, and check the defaultToken and maxToken configuration.