What the data for this category looks like
Data sources for medical aesthetic intelligent due diligence reports include practicing licenses for medical aesthetic institutions, physician practicing certificates, consumable traceability vouchers, compliance information publicly released by regulatory authorities, and user feedback texts. Update schedules are adjusted based on the official update cycle of each data source. Some regulatory public information is synchronized in real time, while qualification documents are verified and updated annually. Document structures include structured qualification scan copies, semi-structured regulatory public disclosure tables, and unstructured user reviews and rectification records. Fields cover institutional main body information, practicing qualification numbers, scope of diagnosis and treatment items, consumable filing numbers, penalty reasons and dates. Units follow the standard format officially disclosed by regulatory authorities.
What constraints these characteristics impose on model access and configuration
Medical aesthetic intelligent due diligence data is multi-source and heterogeneous, including scan copies, tables and unstructured text. This requires parameter configuration adapted to multi-format parsing during model access. Some regulatory data is updated in real time, so appropriate retrieval timeout and real-time synchronization trigger rules must be configured. There are many aliases and standardized numbers for medical aesthetic projects and consumables, so field mapping and similarity matching rules must be configured in the entity extraction link. Long text rectification records and user reviews require adjusting context window and segment length parameters to avoid information truncation. At the same time, structured extraction of qualification documents requires clear field mapping rules to ensure extraction results conform to the standard format publicly disclosed by regulatory authorities.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Medical aesthetic qualification scan copies take longer to parse, so sufficient parsing time must be reserved |
maxContext | 8000–12000 characters | Long text rectification records and user reviews require complete context retention to avoid truncation of key information |
RECALL_TOP_N | Top 8–12 results | There are many aliases for medical aesthetic projects, so enough candidate results must be recalled to complete matching |
SIMILARITY_THRESHOLD | 0.75–0.85 | Distinguish similar names of medical aesthetic projects from irrelevant content to improve extraction accuracy |
MULTIMODAL_PARSE_ENABLE | Enabled | Support parsing scan copy content of qualification documents and extracting structured information |
HIDE_TOOL_OUTPUT | Enabled | Hide intermediate execution logs of tool calls, only display the final due diligence report |
ENTITY_MAPPING_RULE | Map according to official regulatory fields | Ensure extraction results conform to the standard format requirements publicly disclosed by regulatory authorities |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Symptom: After uploading a medical aesthetic qualification scan copy, the parsing result is empty. Cause: The
MULTIMODAL_PARSE_ENABLEconfiguration is not enabled, so text content in the scan copy cannot be recognized. - Symptom: When the model generates a due diligence report, intermediate steps of tool calls are displayed in the chat window. Cause: The
HIDE_TOOL_OUTPUTconfiguration is not set to enabled, resulting in intermediate execution logs being displayed. - Symptom: A
504 Gateway Timeouterror occurs when generating a due diligence report. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration value is too low, and sufficient parsing and retrieval time is not reserved.
How to confirm the configuration is complete
- Upload a single medical aesthetic qualification scan copy, check whether the parsing result includes core fields such as institutional name and practicing qualification number, and confirm that the multimodal parsing configuration takes effect.
- Trigger a due diligence report generation process, view the final output content, and confirm that only the main body of the report is displayed without redundant intermediate call logs.
- Import multiple medical aesthetic data sources in different formats, check the parsing time and match it with the expected configuration, and confirm that the timeout parameter settings are reasonable.
- Input alias combinations of medical aesthetic projects, check the matching relevance of recall results, and confirm that the similarity threshold and recall number configuration are adapted to business needs.
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.