What data for this category looks like
Data related to beneficial owner KYC primarily originates from industrial and commercial registration archives, equity structure disclosure documents, and statement files submitted during due diligence. Updates to this data are triggered by changes to a subject’s equity or actual controller, with no fixed cycle. Most documents are structured tables paired with scanned attachments; some are plain text statements. Fields include name, identification document number, shareholding ratio, and control relationship type. Units include natural person identifier, institutional identifier, and ratio unit.
What constraints do these characteristics impose on document parsing and chunking
Structured tables require parsing tools to accurately identify table structures and extract cell content, to avoid losing information across rows or columns. Attached scanned attachments require enabling OCR functionality; otherwise non-text content cannot be extracted. No fixed update cycle means the parsing process must adapt to uploaded files in multiple formats, without requiring pre-set fixed templates. The control relationship type field requires that chunking retains complete field associations for a single subject, and the complete information group of a single beneficial owner cannot be split.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_OCR_ENABLE | Enabled | Beneficial owner documents often include industrial and commercial scanned copies and equity structure diagram images, requiring OCR to extract text from images |
PARSE_FILE_TABLE_MODE | Structured extraction | Documents in this category mostly contain tables of beneficial owner shareholding ratios and control relationships. Structured extraction preserves cell association relationships |
PARSE_FILE_CHUNK_SIZE | 800–1200 characters | Beneficial owner information requires retaining complete field groups for a single subject. Overly long chunks will break associations, while overly short chunks will increase retrieval costs |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Parsing multi-page scanned documents or complex equity structure diagrams takes longer, requiring adaptation for long-running tasks |
UPLOAD_FILE_MAX_SIZE | 50–100 MB | Documents in this category may include multiple high-definition scanned attachments, requiring allowance for larger file uploads |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Parsing logs show
ocr error, and the file parsing status returns a500error code. Cause: ThePARSE_FILE_OCR_ENABLEconfiguration is not enabled, or the OCR service connection is abnormal. - Symptom: Normal chat functionality works, but the model returns an error after adding file parsing. Cause: Parsed chunked text is not correctly spliced into a context format acceptable to the model, or the context length exceeds the model limit.
- Symptom: After locally deploying version v4.8.22, the file parsing function is unresponsive, and no logs are output in the background. Cause: The officially recommended parsing dependency packages are not installed, or the
PARSE_FILE_WORKER_ENABLEconfiguration is not enabled.
How to Verify Correct Configuration
- Upload a standard beneficial owner statement document, and check if all fields in the table are fully extracted in the parsed text.
- Check background logs to confirm there are no
ocr errortype errors. - Test files in different formats (PDF scanned copies, Word tables, images) to confirm that parsing results have consistent formatting.
- View chunked text to confirm that the complete information of a single beneficial owner is not split across different chunks.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.