Vector Models and Indexes for Vocational College Program Registration: Maintain Document Versions and Changes

Vocational Programs: 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 involves three types of materials: the specialty setup filing form, the talent demand justification, and the faculty and equipment list. The filing form contains the specialty name, code, program length, enrollment scale, signature, and date; the talent demand justification contains industry positions, survey year, demand quantity, justification conclusion, and signature; the faculty and equipment list contains teacher names, titles, equipment names, quantities, dates, and signatures. The materials are updated by academic year or application batch, and the fields cross-reference one another. When entering the vector model and index feature, the filing form serves as the main record providing the specialty identifier, the talent demand justification serves as supporting material providing the demand basis, and the faculty and equipment list serves as conditional material providing evidence of schooling capacity. The three types of materials are split, embedded, and written into the vector database separately; the original data is stored in the business database data table, and the index field records multiple vector identifiers. The update rhythm uses batches as the unit, old versions are retained for traceability, and references are maintained in sync.

Configuration and implementation checks

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

ObjectCheckVerification action
Specialty setup filing formWhether the fields, date, and signature are complete, and whether the name, quantity, and date of the same record in the talent demand justification and the faculty and equipment list are consistentCheck the index model in the knowledge base settings; open a data row to check the index field; view the data scope covered by the rebuild task; check the configuration related to defaultToken and maxToken
Talent demand justificationWhether the survey year, demand quantity, and justification conclusion correspond to the specialty name and program length in the filing form, and whether the signature and receipt are completeSearch for the specialty name and see whether data in the same group is merged; check whether all multiple vector identifiers are present in the index field; confirm the status value indexed and the rebuild task record
Faculty and equipment listWhether teacher names, titles, equipment names, quantities, and dates are consistent with the filing form and the talent demand justification; missing signatures or receipts must be flaggedOpen the data row to check the index field; search for the equipment name and teacher name to see whether recall is possible; check the limit reference budget, and record the number of array entries separately

Three common errors

  • Symptom: the same specialty name is written differently in the filing form and the talent demand justification, and retrieval recall is inconsistent. Inspect the following: the material fields are not unified, and the index field records multiple vector identifiers but the original data is not merged.
  • Symptom: versions are not synchronized, the old filing form can still be recalled, and the current version is not unique. Inspect the following: the rebuild task is triggered only for data whose indexing has been completed, and the old index is not cleaned up.
  • Symptom: the faculty and equipment list lacks a signature or receipt, and supporting materials cannot be retrieved during reference trimming. Inspect the following: signature verification is not completed before the materials enter the index, and the original data status is incomplete.

How to verify the setup

This feature's acceptance check: sample a data row and look at the index field to confirm that multiple vector identifiers are all present; then search once more to see whether data in the same group is merged and whether the status value is indexed and the rebuild task record; check the limit reference budget, and record the number of array entries separately.

Business test: change one piece of content and see whether the version number and references are updated in sync

  • Check in the knowledge base settings whether the index model is consistent with the vector model actually used by the knowledge base
  • Open a data row and check the index field to confirm that multiple vector identifiers for one piece of data are all present