What this category's data looks like
This category's data looks like Self-funded study abroad application services involve multilingual materials, including study abroad service contracts, school application forms, personal statements, and attachments such as transcripts, recommendation letters, and proof of funds. Material sources are scattered: contracts are signed by the service provider and the applicant, application forms are generated from school templates, and personal statements are written by the applicant and returned. The update cadence is driven by application rounds, school deadlines, and visa progress, and it is common for the name, quantity, and date of the same record to fail to match across two materials, for versions to be out of sync, and for signatures or receipts to be missing. When these materials enter the document parsing and chunking function, contracts and application forms take on the role of field and signature verification, personal statements take on the role of terminology and translated-name consistency, and attachments take on the role of supplementary evidence, together forming the raw input for a unified terminology glossary and comparison draft.
Configuration and implementation checks
Parsing and training tasks (server-side tasks) only output data rows and index status (parsed, indexing, indexed); the unified terminology glossary and comparison draft must be handled by retrieval and subsequent processing. After parsing is complete, parsing and chunking are immediately persisted as visible data rows and bound to a unique data identifier. Indexing flows through three states; data pending indexing does not participate in recall, and changing models only rebuilds data that has already been indexed.
| Object | Check | Verification action |
|---|---|---|
| Study abroad service contract | Fields, dates, and signatures must be aligned item by item with the school application form; the name, quantity, and date of the same record must not be inconsistent in two places | Check the fields, dates, and signatures of the contract and application form, confirm that the name, quantity, and date of the same record are consistent, and check whether receipts are complete |
| School application form | Fields, dates, and signatures must be cross-consistent with the personal statement and attachments, and versions must be in sync | Check the fields, dates, and signatures of the application form against the personal statement and attachments, confirm that versions are in sync and that there are no missing signatures or receipts |
| Personal statement | Terminology and translated names must be consistent throughout, and translated names must be traceable back to the source text | Sample three terms and check whether their usage is consistent throughout; check whether translated names can be traced back to the source text; and check whether the chunking and training configurations related to chunkSize, chunkSplitter, and trainingType affect terminology boundaries |
| Data rows and index status | Must be in one of the three states parsed, indexing, or indexed and consistent with the interface display | Open the data rows and check the status; confirm that data pending indexing does not participate in recall; and that changing models only rebuilds indexed data |
Three common errors
- Symptom: The name, quantity, and date of the same record do not match between the contract and the application form. Cause: Multilingual materials are parsed and chunked separately, terminology is not unified, and cross-material comparison and back-reference validation are lacking.
- Symptom: The personal statement and application form versions are out of sync, and terminology translations are inconsistent. Cause: After materials are updated, they are not re-parsed and persisted, and old data rows are still in indexed status and are hit by retrieval.
- Symptom: The contract or application form is missing signatures or receipts but still enters subsequent processes. Cause: Field and signature verification is not included in the data row status check after chunking; successful parsing does not mean retrieval will necessarily hit.
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. Confirm that after parsing and chunking, it is immediately persisted as visible data rows and bound to a unique data identifier, with status flowing through parsed, indexing, and indexed; data pending indexing does not participate in recall; changing models only rebuilds indexed data; and the initial training covers data pending indexing and data being indexed.
Business test: sample three terms and check whether their usage is consistent throughout
- Open the data rows and check the status; check the file records and data rows separately, confirm that the identifiers of files and data rows are distinguishable, and check the chunking and training modes corresponding to
chunkSize,chunkSplitter, andtrainingType. - View the data rows covered by the rebuild task, confirm that only data that has already been indexed is covered; directly edit or delete failed training data to avoid leaving empty data rows.