Document Parsing and Chunking for Plastic and Rubber Intelligent Due Diligence Reports

Data sources include public quotes from commodity spot exchanges, monthly statistical bulletins from industry associations, import and export

What the data for this category looks like

Data sources include public quotes from commodity spot exchanges, monthly statistical bulletins from industry associations, import and export declaration data from the General Administration of Customs, and annual capacity reports published by manufacturing enterprises. Update frequencies are as follows: spot prices are updated daily, industry statistical data is updated monthly, and import and export data is updated weekly. Common document structures include structured tables covering capacity, output, price, and import and export volume, analytical reports with charts, and compliance testing PDF documents. Fields involved include product grades, production process parameters, raw material ratios, and quantitative indicators such as transaction prices, capacity, and inventory. Units include yuan/ton, ten thousand tons/year, and thousand tons.

A high proportion of structured tables requires retaining cell row and column associations during parsing, to avoid breaking data logic through splitting. Daily updated spot price data has strong timeliness. Chunks must be isolated by time dimension to prevent content confusion across time blocks. Discrete process parameters in compliance testing documents require accurate field extraction, to avoid breaking parameter associations through full-section splitting. For single documents with multiple pages, split content by chapter to maintain context coherence. Mixed-format data sources require parsing to adapt to content extraction rules for different formats, ensuring consistent parsing across all document types.

How to set the configurations

Configuration ItemRecommended SettingRationale
PARSE_TABLE_STRUCTUREEnabledStructured tables account for a high proportion of plastic and rubber due diligence reports. Retaining row and column associations avoids breaking data logic through splitting
CHUNK_SIZE800–1200 charactersBalances context coherence and chunk granularity, adapting to the chapter length of industry reports
PARSE_FILE_TIMEOUT_SECONDS120 secondsAdapts to parsing time for large industry reports and multi-worksheet documents, avoiding mid-task interruptions
CHUNK_OVERLAP100–150 charactersMaintains context connection between chunks, preventing key information from being fragmented
ENABLE_MULTI_SHEET_PARSEEnabledExcel-format due diligence data often includes data for different categories across multiple worksheets, requiring separate extraction of content from each sheet
UPLOAD_FILE_MAX_SIZE500 MBAdapts to upload requirements for large industry monthly reports and multi-worksheet Excel files

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, and it is recommended to test against your own samples before finalizing.

Three common misconfigurations

  • Symptom: Returns 503 Service Unavailable status code when calling the associated MCP service, unable to complete document parsing. Cause: The allowed access domain name whitelist for this service is not configured, resulting in non-same-origin requests being blocked.
  • Symptom: Parsed chunk content lacks row and column association information for tables, only displaying scattered text. Cause: The PARSE_TABLE_STRUCTURE configuration is not enabled, and the system treats tables as plain text for splitting.
  • Symptom: Image documents uploaded to the knowledge base are recognized, but text content within the images cannot be called during the question answering process. Cause: The ENABLE_IMAGE_PARSE configuration is not enabled, and binding rules between chunks and image text are not configured.

How to confirm the configuration is correct

  • Upload a plastic and rubber industry report that includes structured tables, and check if parsed chunks retain the row and column structure of the tables.
  • Upload an Excel file with multiple worksheets, and check if parsed results include independent content from each worksheet.
  • Trigger a document parsing task, and confirm that the task duration does not exceed the configured PARSE_FILE_TIMEOUT_SECONDS threshold.
  • After enabling the image parsing configuration, upload a document with charts, and check if chunks include text extraction results from the images.

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.