Data Profile for This Category
Medical aesthetic marketing content data sources primarily include internal institution project brochures, event campaign plans, draft promotional copy, customer feedback and price ledgers stored in Feishu multi-dimensional tables, and authorized qualification documents from partner institutions. Update frequency fluctuates with marketing cycles. Higher update rates occur during new product launches and holiday promotion periods. Supported document types include long full manuals, short single-piece content, and structured tables such as project price lists and doctor qualification inventories. Common fields include project name, single-treatment price, applicable skin type, doctor qualification number, event start and end time, and number of treatment sessions. Common units are yuan per treatment, treatments per course, and year/month/day.
Constraints for Document Parsing and Chunking
Structured features of medical aesthetic marketing content require the parsing step to preserve tables, lists and other formats. This prevents splitting that breaks the integrity of business information. Nested event rules and project descriptions require sufficient paragraph recognition depth. This stops cross-level truncation of critical information. Frequently updated content requires the parsing process to have high timeliness. This avoids timeout interruptions. Accurate recognition of specialized medical terms and project codes requires the parsing model to adapt to semantic features of the specialized field. Multi-source document pulling requirements mean the configuration must support access rules for different format data sources.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
enableStructuredParse | Enabled | Medical aesthetic marketing documents often include structured data such as price lists and doctor qualification lists. Enabling this setting preserves table row and column structures and avoids misalignment during splitting |
maxChunkSize | 800–1200 characters | Medical aesthetic content contains proper nouns and long explanatory sentences. This range avoids splitting that breaks the integrity of project introductions, while meeting index length requirements |
segmentDepth | 3–5 | Medical aesthetic event plans often include nested event rule hierarchies. This depth accurately recognizes paragraph hierarchies and prevents cross-level splitting |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Long documents such as complete project manuals take longer to parse. This duration covers most parsing scenarios and prevents mid-process timeout interruptions |
enablePdfMarkerV2 | Enabled | The v2 version optimizes parsing results for complex layout PDFs, preserving text layout details of medical aesthetic posters and brochures |
apiPullSource | Adapted by document type | Medical aesthetic marketing content comes from sources including Feishu multi-dimensional tables and local documents. Corresponding pulling rules must be configured for different data sources |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- The PDF enhanced parsing button is grayed out and cannot be enabled. Cause: Corresponding plugin permissions are not enabled, or the current deployment package does not integrate pdf-marker v2 related dependencies.
- The file parsing API call returns a 408 timeout error. Cause: The configured
PARSE_FILE_TIMEOUT_SECONDSvalue is too low and does not cover the time required for long document parsing. - Price tables in chunking results are split into scattered paragraphs. Cause: The
enableStructuredParseconfiguration is not enabled, and the default text parsing mode cannot recognize structured table content.
How to Confirm Configurations Are Correct
- Upload a medical aesthetic project PDF containing a structured price list, and check if the parsing result preserves the table row and column structures without scattered splitting.
- Call the file parsing API, and check if the returned chunk list contains complete event rule hierarchies without cross-level truncation.
- Configure Feishu multi-dimensional table API pulling rules, and verify that project names, prices and other fields in the table can be synchronized without missing fields.
- Check the parsing logs to confirm there are no timeout errors, and that parsing time matches the configured duration.
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.