Document Parsing and Chunking for Professional Qualification Exam Applications: Compare Documents and Locate Differences

Professional Exams: review parsing for document checks. Compare the source records, required inputs and downstream results before handing the task over.

What this category's data looks like

The registration review materials for the Professional and Technical Personnel Vocational Qualification Examination include the registration form, education certificate, and work experience certificate. The registration form contains name, ID number, examination subjects, work unit, signature, and date; the education certificate contains graduating institution, major, education level, graduation date, and certificate number; the work experience certificate contains start and end dates, position, unit name, and stamped signature. The material sources are candidate uploads and unit issuance, and the update cadence changes with registration batches and supplementary review nodes. After materials enter parsing and chunking, they are immediately persisted as visible data rows and bound to a unique data identifier. The registration form, education certificate, and work experience certificate each form independent data rows, for retrieval and subsequent processing to verify names, quantities, dates, and signatures across materials for the same object.

Configuration and implementation checks

This step is executed by parsing and training tasks (server-side tasks), outputting data rows and index status (parsed, indexing, indexed). The "discrepancy list" is then completed by retrieval and subsequent processing. Successful parsing does not mean retrieval will definitely hit; the index status must also be checked.

ObjectCheckVerification action
Registration formWhether the name, examination subjects, work unit, and date of the same record are consistent between the registration form and the ledger, and whether the signature and receipt are completeCheck the chunk boundaries according to chunkSize and chunkSplitter, open the data row and check whether the status is parsed / indexing / indexed
Education certificateWhether the graduating institution, major, education level, and graduation date of the same record are consistent between the education certificate and the registration form, and whether the certificate number and signature are missingCheck the file record and the data row separately, confirm the unique data identifier binding relationship, and check the processing mode corresponding to trainingType
Work experience certificateWhether the start and end dates, position, and unit name of the same record are consistent between the work experience certificate and the ledger, and whether the stamped signature and version are synchronizedLook at the data rows covered by the rebuild task, confirm that only data with completed indexing is covered, and that data pending indexing does not participate in the rebuild
Data rowIs in one of the three states and consistent with the interface display; data pending indexing does not participate in recallOpen the data row and check the status, and compare the transition records of the three states: parsed, indexing, and completed

Three common errors

  • Symptom: newly uploaded materials cannot be found. Cause: the data row is in parsed or indexing status, and data pending indexing is naturally isolated at the retrieval layer and is not recalled, so the index completion must be awaited.
  • Symptom: empty data rows remain after training fails. Cause: training interruption leaves orphan data; failed data supports direct editing or deletion, and the data row status and interface display must be checked.
  • Symptom: rebuild takes abnormally long after changing models. Cause: the rebuild scope is not limited to data with completed indexing, and data pending indexing is pulled into the rebuild chain; the rebuild should be triggered only for indexed data.

How to verify the setup

Acceptance for this feature: upload one material and observe the data row status transitions and the coverage scope of the rebuild task. Check the transition from parsed to indexing to indexed, confirm that data pending indexing does not participate in recall, and when changing models rebuild only data with completed indexing.

Business test: use one real record to find fields inconsistent with the ledger, compare names, quantities, dates, and signatures in the registration form, education certificate, and work experience certificate, form a discrepancy list, submit it to the reviewer for confirmation, and write it back.

  • Open the data row and check the status, confirm that the three states are consistent with the interface display, and check the file record and data row identifier separately
  • Look at the data rows covered by the rebuild task, confirm that only data with completed indexing is covered, and that data pending indexing does not participate in the rebuild