Document Parsing and Chunking for Professional Qualification Exam Applications: Find Supporting Evidence

What this category's data looks like

This page addresses the scenario of registration review for professional and technical personnel qualification examinations. The materials include three categories: registration form, education certificate, and work experience certificate. The registration form contains name, ID number, examination level, work start and end dates, and unit seal and signature; the education certificate contains graduating institution, major, certificate number, issue date, and verification seal; the work experience certificate contains position name, employment start and end dates, cumulative years, and responsible person's signature receipt. The material sources are candidate submission and unit issuance, and the update cadence changes with registration batches and correction notices. After materials enter parsing and training tasks, each falls into an independent data row and is bound to a unique data identifier, respectively assuming the basis roles of registration information, education information, and years information, for retrieval and subsequent processing to refer back to the original text.

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). "Basis entries that can refer back to the original text" are then completed by retrieval and subsequent processing. After parsing is completed, parsing chunking is immediately persisted as visible data rows and bound to a unique data identifier; the index transitions through three states, data pending indexing does not participate in recall, and changing models only rebuilds data that has completed indexing.

Three common errors

• Symptom: newly uploaded materials cannot be found. Cause: the data row is in the parsed or indexing state, data pending indexing does not participate in recall, and indexing has not yet completed.
• Symptom: the same record's name, quantity, and date do not match across two materials. Cause: the versions of the registration form, education certificate, and work experience certificate are not synchronized, or consistency was not checked during entry.
• Symptom: empty data rows remain after training fails. Cause: training interruption leaves orphan data, or materials lack signatures and receipts, causing parsing chunking not to be fully persisted.

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 whether the data row transitions through the three states parsed, indexing, and indexed and is consistent with the interface display, check that the rebuild task covers only data rows in the indexed state, that the initial training covers data pending indexing and data being indexed, and check the parsing and training parameters corresponding to chunkSize, chunkSplitter, and trainingType.

Business test: ask a cross-material basis question and see whether the answer provides a traceable source. For example, ask whether the work start and end dates filled in the registration form are consistent with the employment start and end dates in the work experience certificate, and see whether the answer refers back to the specific material and data row.

• Open the data row to check the status, confirm it is in one of the three states parsed, indexing, or indexed and is consistent with the interface display, and separately verify the file record and the data row identity.
• View the data rows covered by the rebuild task, confirm that only data rows in the indexed state are covered, and check the parsing and training parameters corresponding to chunkSize, chunkSplitter, and trainingType.