Document Parsing and Chunking for Home Goods Smart Due Diligence Reports

The data sources for home goods smart due diligence reports include SKU ledgers provided by brands, material test reports issued by third-party

What the data for this category looks like

The data sources for home goods smart due diligence reports include SKU ledgers provided by brands, material test reports issued by third-party quality inspection institutions, and supply detail documents from upstream suppliers. Update frequency adjusts based on new product launches, quarterly spot checks, or compliance requirements. Document structures combine structured and unstructured formats: standardized SKU lists in Excel or CSV, PDF test reports, HTML product compliance descriptions, and some documents contain nested tables and image-marked material notes. Fields include SKU code, material composition, purchase unit price, production batch number, and implementation standard number. Common units are piece, kilogram, square meter, and yuan.

Constraints on document parsing and chunking

The mixed structure of home goods documents requires parsing logic that supports both structured tables and unstructured text. Using a single mode risks information loss. Nested tables and image annotations can break the link between material descriptions and corresponding test results during chunking. Context binding must be preserved. Diverse document formats (Excel, PDF, HTML, TXT) require the parsing engine to automatically identify file types and switch processing strategies. This avoids parsing failures from format mismatches. Fields and their units are tightly bound. Chunking cannot split fields from their associated measurement units. Information integrity within each segment must be maintained.

Configuration Settings

Configuration ItemRecommended SettingRationale
PARSE_MODEAuto-detect, mixed modeAdapts to the mixed structured and unstructured characteristics of home goods documents, automatically switches between text parsing and table parsing logic
CHUNK_SIZE800–1200 charactersMatches the single-segment information density of home goods test reports, avoids splitting material descriptions from corresponding test results
PARSE_IGNORE_IMAGEDisabledRetains image text for material annotations in test reports, avoids loss of critical compliance information
UPLOAD_FILE_MAX_SIZE500 MBSupports bulk uploads of SKU ledgers and packaged batches of multiple test reports
PARSE_FILE_TIMEOUT_SECONDS300 secondsMeets parsing time requirements for long test report documents
STRUCTURED_PARSE_THRESHOLD0.7Triggers structured parsing when document table proportion exceeds this threshold, adapts to SKU ledger-style documents

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 cases require individual analysis. It is recommended to test using internal samples before finalizing settings.

Three Common Mistakes

  • Issue: Uploading a PDF test report renamed as a TXT file results in empty parsing results. Cause: Renaming only modifies the file suffix, and does not retain the original document's structured format. The parsing engine cannot identify valid text structures.
  • Issue: Using chunk mode to call the pushdata API to upload SKU ledgers results in tasks remaining in the indexing state for a long time. Cause: No reasonable CHUNK_OVERLAP parameter is configured, or the uploaded file exceeds the timeout threshold set by PARSE_FILE_TIMEOUT_SECONDS.
  • Issue: Uploading a test report containing material images results in parsed results that do not include text annotations from the images. Cause: The PARSE_IGNORE_IMAGE configuration item is enabled, which skips parsing and extraction of image text.

How to Confirm Correct Configuration

  • Upload a typical SKU ledger Excel file, check if all table fields and corresponding values are included in the parsing results.
  • Upload a PDF test report with image annotations, verify that the parsed results include text content from the images.
  • View the parsing task run logs, confirm that the mode triggered by PARSE_MODE matches the structure of the uploaded document.
  • Test chunk mode uploads for a small batch of documents, confirm that indexing tasks complete within the preset timeout threshold.

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.