What the Category Data Looks Like
The data for medical aesthetics intelligent due diligence reports primarily comes from medical aesthetics institutions' practice licenses, registered treatment project lists, consumable traceability records, physician qualification certificates, and patient treatment archives. Update frequency varies by document type: practice licenses are updated annually, consumable registrations are updated per batch, and treatment archives are generated in real time with services. Most documents use mixed formats, including tables with multi-column layouts, qualification certificates in scanned format, and structured text descriptions. Fields include project name, registration number, specification, unit price, service duration, and more. Units cover yuan, piece, milliliter, minute, and others. Some fields have fixed-format alphanumeric codes.
Constraints on Document Parsing and Chunking
The multi-column table structure of medical aesthetics due diligence reports requires parsing tools to support cross-column recognition to avoid cell content misalignment. Interspersed images such as qualification certificates and consumable packaging in documents require the parsing process to support both text OCR and original image retention to ensure complete compliance information. Fields with fixed codes must retain their original format to avoid damaging field integrity during chunking. The length of real-time generated treatment archive documents fluctuates greatly, so flexible chunk threshold adjustment must be supported. Content boundaries between different modules, such as physician qualifications and consumable lists, are clear. Chunking must avoid cross-module splicing to ensure subsequent retrieval accuracy.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_MULTICOLUMN_TABLE | Enabled | Price lists and consumable lists in medical aesthetics due diligence reports mostly use multi-column layouts. The default parsing mode is prone to column misalignment |
| `ENABLEOCRPARSE | Enabled | Some due diligence documents are scanned copies or contain qualification certificate images, requiring extraction of text from images and original image information |
CHUNK_SIZE | 800–1200 characters | Adapts to the module length of medical aesthetics due diligence reports, avoids cross-chapter chunking, and ensures the integrity of single-chunk content |
| `PARSEFILETIMEOUT_SECONDS | 120 seconds | Parsing multi-page compliance documents or large consumable lists takes a long time, and the default threshold may cause task interruption |
| `SAVEPARSEDIMAGES | Enabled | Due diligence reports need to retain images such as qualification certificates and consumable packaging as compliance evidence, requiring retention of the association between original images and parsed text |
SIMILARITY_THRESHOLD | 0.75 | Distinguishes similar treatment project names to avoid merging similar content into the same chunk |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Parsed multi-column tables have column misalignment or mixed cell content, and cannot restore the price list structure of the original document. Cause: The
PARSE_MULTICOLUMN_TABLEconfiguration is not enabled. The default parsing mode only adapts to single-column table layouts, and cannot recognize the multi-column structure of projects, unit prices, and registration numbers in medical aesthetics due diligence reports. - Phenomenon: After uploading a PDF document containing physician qualification certificates or consumable packaging images, the output result only includes text content and no image information. Cause: The
ENABLE_OCR_PARSEconfiguration is not enabled, and theSAVE_PARSED_IMAGESoption is not enabled, making it impossible to extract text from images and original image content. - Phenomenon: Parsing task fails, returning the
PARSE_FILE_TIMEOUTerror code or status code 408. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The parsing time of multi-page compliance documents for medical aesthetics due diligence reports exceeds the default threshold, causing task interruption.
How to Verify Correct Configuration
- Upload a test document containing a multi-column price list, check whether the parsed table restores the original column structure to confirm that the
PARSE_MULTICOLUMN_TABLEconfiguration is effective. - Upload a test document containing qualification certificate images, check whether the output result includes image text and original image association information to confirm that the
ENABLE_OCR_PARSEandSAVE_PARSED_IMAGESconfigurations are effective. - Upload a compliance document with more than 10 pages, wait for parsing to complete and check the task status to confirm that the
PARSE_FILE_TIMEOUT_SECONDSparameter is adapted to the document length. - View the chunked content to confirm that each chunk corresponds to an independent due diligence module, confirming that the
CHUNK_SIZEandCHUNK_OVERLAPconfigurations are reasonable.
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.