Document Parsing and Chunking for Chemical Fiber Intelligent Due Diligence Reports

Data sources for chemical fiber intelligent due diligence reports include publicly available documents from domestic chemical fiber industry

What the Data for This Category Looks Like

Data sources for chemical fiber intelligent due diligence reports include publicly available documents from domestic chemical fiber industry associations, raw material supply ledgers from upstream petroleum and petrochemical enterprises, purchase order summaries from downstream textile enterprises, and import and export statistical reports.

Document update cadences vary by data source type. Public industry data is updated monthly or quarterly. Self-disclosed enterprise documents are updated annually or semi-annually.

Most documents are in PDF format, with multi-chapter nested structures. Common content includes raw material supply and demand statistics tables, product performance parameter tables, and market circulation data lists. Fields include fineness, breaking strength, monthly output, import and export unit prices, and more. Common units are decitex (dtex), centinewton per decitex (cN/dtex), ton, and yuan per kilogram.

Constraints on Document Parsing and Chunking

The multi-source, heterogeneous nature of chemical fiber due diligence reports imposes multiple constraints on the parsing and chunking process.

First, documents contain large numbers of structured tables and nested sub-tables. Parsing must accurately distinguish between tables and plain text to avoid splitting table content into scattered chunks.

Second, professional fields are tightly bound to specific units. Chunking must retain the association between numerical values and their units to prevent information fragmentation after splitting.

Third, document lengths vary widely. Some industry reports span dozens of pages. Chunk boundaries must be controlled reasonably to avoid merging unrelated content across chapters.

Fourth, data source formats are inconsistent. There are both standardized industry white papers and non-standardized internal enterprise ledgers. The parsing model must adapt to document structures across multiple formats.

Configuration Settings

Configuration ItemRecommended ValueRationale
pdf_marker_versionv2.0.1This version optimizes structured table parsing and professional field binding capabilities, adapting to the format requirements of chemical fiber due diligence reports
chunk_max_size800–1200 charactersThe row lengths of tables and analytical paragraphs in chemical fiber due diligence reports vary widely. This range balances table integrity and paragraph semantic coherence
chunk_overlap150–200 charactersIt is necessary to retain the association between professional fields (such as fineness, unit price) and their preceding and following context to avoid semantic fragmentation across chunks
parse_table_enableEnabledChemical fiber due diligence reports contain large numbers of structured data tables. Enabling this option fully extracts table content and format information
api_pull_timeout60 secondsChemical industry documents are mostly large PDFs or multi-file packages. This duration covers conventional pull and parsing time
max_paragraph_depth3The chapter nesting level of chemical fiber due diligence reports is mostly three levels (industry overview → product category → detailed data). This setting accurately identifies chapter boundaries

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.

Three Common Mistakes

  • Phenomenon: The Enable PDF Enhanced Parsing button is grayed out and unavailable. The log returns the parse_plugin_unavailable error code. Cause: The pdf-marker v2 plugin was not deployed correctly, or the plugin was not mounted to the parsing link of the corresponding knowledge base.
  • Phenomenon: Fineness values and their units (dtex) are separated in chunking results, becoming two separate chunks. Cause: The chunk_max_size value is too small, and the table binding parsing configuration is not enabled, causing professional fields to be forcibly split.
  • Phenomenon: Calling the API to pull multi-dimensional table documents returns a 403 Forbidden status code. Cause: No internal interface authentication token is configured, or the token permissions do not cover the reading scope of the target document library.

How to Confirm Proper Configuration

  • Upload a local chemical fiber industry white paper PDF, and check whether the parsed data tables fully retain fields such as fineness and breaking strength, along with their corresponding units.
  • Call the /v1/knowledge/parse interface, pass in a test document, and check whether the returned chunk list contains complete table paragraphs and context associations.
  • Check whether the pdf_marker_version parameter on the knowledge base configuration page is set to v2.0.1 or a higher version.
  • View the parsing task log to confirm that there are no error logs of the table_parse_failed or chunk_split_error types.

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.