Document Parsing and Chunking for Carbon Steel Research Report Retrieval

Carbon steel research report data mainly comes from domestic steel industry self-regulatory organizations, commodity information institutions, and

What the data for this category looks like

Carbon steel research report data mainly comes from domestic steel industry self-regulatory organizations, commodity information institutions, and regular disclosure documents of listed steel enterprises. Update cycles include daily (spot prices, port inventory), weekly (industry operating rate), and monthly (production volume, import and export data). Most documents are mixed-format, containing main body paragraphs, nested tables, and data trend content. Core fields include production volume (unit: 10,000 tons), price (unit: yuan/ton), inventory (unit: 10,000 tons), and operating rate related values. Some research reports also include linked data for raw materials iron ore and coke.

What constraints do these characteristics impose on document parsing and chunking

The mixed multi-format nature of carbon steel research reports requires the document parsing module to support structured extraction of nested tables, to avoid splitting table content into scattered paragraphs which disrupt subsequent data association. The high-frequency updated daily and monthly data requires the parsing module to quickly locate core data blocks and filter out redundant industry comment content. Documents from different sources have large format differences, some include non-text trend content, so extraction logic for unstructured content must be supported. The fixed unit requirement for core fields requires retaining the binding relationship between fields and units during chunking, to avoid unit matching errors during subsequent retrieval.

How to set the configuration

Configuration ItemRecommended ValueRationale
chunk_size800–1200 charactersCore data blocks of carbon steel research reports are mostly combinations of table and paragraph content, this length preserves the complete association of a single set of data
chunk_overlap100–150 charactersPrevents core data from being truncated during segmentation, ensuring coherent context across segments
parse_pdf_methoddoc2xMeets parsing needs for nested tables and complex layouts in carbon steel research reports, ensuring accuracy of structured data extraction
enable_table_extractEnabledCarbon steel research reports contain large amounts of structured table data, enabling this allows direct extraction of table fields and content
parse_timeout600 secondsSome large monthly research reports have substantial content, this duration ensures complete parsing without interruption
extract_field_with_unitEnabledCore fields of carbon steel research reports have fixed units, enabling this retains the binding relationship between units and fields

The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Scenario: When calling the file collection creation API, no PDF parsing configuration fields are returned, making it impossible to specify parsing parameters. Cause: The parse_pdf_method related parameters are not correctly carried in the API request body, or the parameter format does not comply with interface specifications.
  • Scenario: An error is returned during the PDF parsing process, with a status code of 500 or the prompt "Parsing failed". Cause: A recent temporary exception occurred in the doc2x service, or the uploaded PDF file is encrypted or damaged, causing the parsing process to interrupt.
  • Scenario: After uploading multiple carbon steel research reports, the chunking results cannot be associated with the corresponding source files. Cause: The enable_source_tag parameter is not enabled, and the source file identification field is not embedded during chunking, making it impossible to distinguish parsing results from different documents.

How to confirm the configuration is correct

  • Upload a single small carbon steel research report PDF, check the parsed chunked content to confirm that table data is not split into scattered paragraphs.
  • Call the parsing log interface, check if the parse_pdf_method parameter matches the configured value, confirm that the default parsing method is not used.
  • Upload multiple carbon steel research reports from different sources, check if the chunking results include source file identification fields, confirm that different documents can be distinguished.
  • Check the parsing timeout log, confirm that no PARSE_FILE_TIMEOUT related errors appear, verify that the timeout configuration adapts to the document size.

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.