Document Parsing and Chunking for Special Steel Investment Research Knowledge Base Construction

Special steel-related data comes primarily from China Special Steel Enterprise Association monthly reports, steel plant factory quality inspection

What data for this category looks like

Special steel-related data comes primarily from China Special Steel Enterprise Association monthly reports, steel plant factory quality inspection reports, downstream equipment manufacturing enterprise order documents, and futures exchange variety market data. Update schedules include monthly, quarterly, and irregular updates. Document structures include structured component tables, strength parameter tables, long-form research review content, and technical parameter pages with grade and specification labels. Fields include yield strength, tensile strength (unit: MPa), carbon content (percentage), product grade, cross-section specification, and some documents include batch numbers and inspection dates.

A high share of documents mix structured tables and unstructured text. The parsing process must retain row-column associations for tables, to avoid losing the correspondence between parameters and descriptions after chunking. Special steel parameters use dedicated units. The parsing process must link parameter names to their matching units, to prevent units from being separated from parameter subjects during chunking. When uploading bulk documents from multiple sources with varied update schedules, retain original document metadata for subsequent traceability. Some documents use scanned format. An additional OCR recognition module must be configured to adapt to metal material parameter fonts and layouts.

How to set configurations

Configuration ItemRecommended ValueRationale
chunk_size800–1000 charactersSpecial steel documents combine long-form research reviews and compact parameter tables. This range balances contextual association and chunk granularity
chunk_overlap100–150 charactersSpecial steel material parameters are often accompanied by preceding and following descriptive text. Overlap preserves the association between parameters and descriptions
parse_table_modepreserve_structureSpecial steel documents contain numerous component and strength parameter tables. Preserving structure prevents parameters from being separated from descriptions after chunking
parse_ocr_enableautoCovers editable documents and scanned format special steel quality inspection reports and industry monthly reports
parse_file_timeout_seconds120 secondsLarge, multi-page special steel production capacity reports require sufficient parsing time to avoid mid-task interruptions
metadata_extract_fields["product_grade", "yield_strength", "batch_number"]Extract core special steel parameters as metadata to support subsequent retrieval matching

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

Three common mistakes

  • After uploading a docx format document, RAG retrieval results do not include section titles. The cause is that the corresponding configuration item is not enabled, so the parsing process does not extract document structure titles.
  • When deploying Vllm 0.10, the product_grade field cannot be extracted from PDF parsing results. The cause is a compatibility issue with structured metadata field extraction adaptation in this version.
  • Unit information attached to chunked content is not matched during retrieval. The cause is that the association between parameters and units is not retained during chunking, or the metadata extraction rule is not configured to include units as a retrieval dimension.

How to confirm the configuration is correct

  • Upload a special steel document containing structured parameter tables and section titles, and check whether the parsed chunked content retains table structure and section title information.
  • Trigger a single document parsing task, and verify whether the returned metadata fields include the preset core special steel parameter items.
  • Upload a scanned special steel quality inspection report, and confirm that the parsing process automatically enables OCR and completes text extraction.
  • Adjust the chunk overlap parameter, compare chunked results under different configurations, and confirm the complete association between material parameters and accompanying descriptive text.

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.