Document Parsing and Chunking for Medical Beauty Industry Research Report Retrieval

Medical beauty research report data primarily comes from national plastic surgery industry associations, third-party medical beauty industry research

What This Category of Data Looks Like

Medical beauty research report data primarily comes from national plastic surgery industry associations, third-party medical beauty industry research organizations, public financial reports of listed medical beauty enterprises, and medical beauty compliance regulatory announcements. Industry policy documents are updated alongside regulatory developments. Industry research reports are released quarterly. Corporate financial reports are disclosed annually. Documents typically contain overall industry overviews, breakdowns of sub-medical beauty projects, compliance operation requirements, consumer behavior data, and upstream and downstream supply chain information. Fields include project name, service pricing, institution qualification level, and service volume. Corresponding units are project name, yuan per service, qualification level, and ten thousand person-times.

Constraints Imposed on Document Parsing and Chunking

Different document sources have significant format differences. Official announcement documents have standardized layouts. Third-party research documents often include complex tables, embedded charts, and scanned pages. Support for multiple parsing logic is required. Highly time-sensitive regulatory announcements require retention of release time tags. This prevents loss of critical timing information during chunking. Structured fields such as pricing and service volume are stored in tables. Chunking processes must avoid splitting table data that spans rows and columns. Splitting such data will break field association relationships. A large number of professional terms such as cross-linked hyaluronic acid and thermage probe frequency must be fully preserved. Arbitrary truncation of these terms will reduce subsequent retrieval accuracy.

How to Configure Parameters

Configuration ItemRecommended ValueRationale
parse_table_modestructuredMedical beauty research reports contain large numbers of structured tables for pricing and service volume. The structured mode preserves table field associations and avoids splitting cross-row/column data
max_segment_length800–1200 charactersMedical beauty research reports include professional terminology and long sentences. This range prevents term truncation while aligning with retrieval context length requirements
ocr_enableEnabledSome offline medical beauty institution research documents are scanned copies. Enabling OCR extracts text content from scanned documents
parse_timeout120 secondsLarge medical beauty research reports (such as annual industry reports) have extensive content. This timeout covers the full parsing process
segment_overlap50–80 charactersPreserves contextual connections for professional terms across chunks. Prevents terms from being split between different segments
allowed_file_extensionspdf, pptx, docxCovers common document formats synced via Feishu, matching user sync needs

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 scenarios require individual analysis. It is recommended to test against your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Phenomenon: Local version 4.8.12 cannot parse complex formulas, while online version 4.9.0 returns results normally. Cause: The parse_formula_enable parameter was not enabled by default in older versions, or the underlying library relied on for formula parsing had a low version number.
  • Phenomenon: Clicking chunk preview for a PDF document returns "Unable to read this file's content". Cause: The document uses encrypted formatting, has corrupted embedded fonts, or the parse_timeout setting is too short, causing parsing to interrupt.
  • Phenomenon: After deploying the latest v2 version of marker, logs show ocr error. Cause: No access key for the OCR service is configured, or the resolution of scanned documents is too low, causing OCR recognition to fail.

How to Confirm Configurations Are Correct

  • Upload a local medical beauty research report PDF, check if the parsed text content retains complete table fields and professional terminology.
  • Enter the chunk preview interface, verify that segments do not split cross-row/column table data, and that professional terms are not split between chunks.
  • Check system logs to confirm there are no ocr error or parse timeout related errors.
  • Test syncing ppt and pdf documents via Feishu, confirm that sync tasks complete successfully and documents can be parsed normally.

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.