What This Category’s Data Looks Like
Smart due diligence data for personal care products comes primarily from compliance filing documents submitted by brands, ingredient analysis reports issued by third-party testing institutions, and sampling inspection public documents released by industry associations. Update frequency aligns with new product launches and compliance annual inspections, with no fixed cycle. Most documents are PDF-format test reports, Word-format brand qualification files, and some structured Excel SKU lists. Document fields include ingredient content, net content, filing number, production batch number, and applicable skin type. Common units are grams, milliliters, mg/100g, and alphanumeric combination identifiers.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking
Multiple constraints arise for parsing and chunking due to the characteristics of personal care product documents. Multi-column layout PDF test reports embed ingredient comparison charts. Descriptive text adjacent to these charts is easily mis-split or missed by standard parsing logic. Structured SKU lists have multi-column fields with messy line break rules, leading to text concatenation across SKUs that disrupts subsequent field mapping. Ingredient content field units are mixed, such as mg/100g and g/100ml. Context must be used to match units to avoid parsing errors. Documents with no fixed update cycle have brand-specific formatting variations. Adaptation is required for different formats of compliance statements and applicable skin type descriptions to prevent key due diligence content from being truncated.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_MODE | "pdf_ocr" | Personal care test reports are mostly scanned PDFs. OCR mode accurately extracts text from printed materials and handwritten annotations |
MAX_PARSE_CHUNK_SIZE | 800–1200 characters | Ingredient descriptions and compliance statements in personal care documents are mostly coherent long texts. This range avoids splitting critical information blocks |
PARSE_TABLE_STRUCTURE | "enable" | Personal care due diligence documents include structured tables such as SKU lists and ingredient tables. Enabling this setting retains table row and column structure to facilitate subsequent field extraction |
PARSE_IMAGE_CAPTION_ENABLE | "enable" | Ingredient comparison charts and usage diagrams in personal care documents often have accompanying descriptive text. Enabling this setting binds image descriptions to corresponding text |
PARSE_TIMEOUT_SECONDS | 300 seconds | Parsing multi-page PDF test reports takes longer. This duration covers parsing requirements for documents with standard page counts |
UPLOAD_FILE_MAX_SIZE | 500 MB | The total size of batch-imported SKU lists or multi-page test reports usually does not exceed this threshold |
The parameter values provided on this page are common recommended starting points for configuration. 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 Misconfigurations
- Symptom: Image links in parsed Markdown documents lack domain prefixes, preventing normal loading in conversations. Cause: Image resource binding configuration during document parsing is not enabled. Only local relative paths are extracted, and domain information is not automatically completed.
- Symptom: Row and column structure of ingredient tables is disrupted in parsed text chunks, and fields from adjacent SKUs are concatenated. Cause:
PARSE_TABLE_STRUCTUREconfiguration is not enabled, orMAX_PARSE_CHUNK_SIZEis set too small, truncating complete table row data. - Symptom: Parsing tasks time out, returning the
ETIMEDOUTerror code. Cause:PARSE_TIMEOUT_SECONDSis set lower than the actual parsing time of multi-page test reports, or the uploaded document size exceeds theUPLOAD_FILE_MAX_SIZElimit.
How to Confirm Proper Configuration
- Upload a typical personal care test PDF report. Check if the parsed text retains the row and column structure of the ingredient table, and verify consistency with the original document.
- Check if parsed image links include complete domain prefixes, and confirm that images can be previewed normally.
- Adjust the
MAX_PARSE_CHUNK_SIZEparameter, upload a document containing long compliance statements, and verify that critical content is not truncated during chunking. - Batch upload 3 to 5 personal care documents from different brands, and confirm that no parsing tasks time out.
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.