Document Parsing and Chunking for Chemical Raw Material Intelligent Due Diligence Reports

Data related to chemical raw material due diligence comes primarily from industry association production and sales dynamic documents, public quality

What the data for this category looks like

Data related to chemical raw material due diligence comes primarily from industry association production and sales dynamic documents, public quality inspection reports and capacity disclosure documents from production enterprises, customs import and export trade records, and composition analysis reports issued by third-party testing institutions. Data updates align with annual enterprise report disclosure cycles, monthly industry production and sales data release schedules, and bulk commodity spot price update rhythms. Document types include editable PDFs, scanned quality inspection reports, structured Excel export production and sales statistics tables, and long-form industry analysis paragraphs. Core fields include CAS registry number, density (g/cm³), melting point (℃), boiling point (℃), purity metrics, annual production capacity (tons), and monthly trade volume (10,000 tons).

Multi-source documents have significant format differences, including editable PDFs, scanned quality inspection reports, and structured Excel tables. The parsing module must support multiple input formats, and adapt to text garbling issues in scanned documents. Documents mix structured tables and long-form analysis paragraphs. Chunking must avoid splitting associated fields within tables, and prevent excessive truncation of long text paragraphs that causes information breaks. Some documents contain unique identifier fields such as CAS registry numbers. After chunking, the binding relationship between fields and corresponding parameters must be retained, to avoid mismatches between parameters and identifiers during subsequent retrieval. Some tables have merged cells and cross-page layouts, which increase the risk of misaligned parsed tables. Targeted layout repair logic is required.

How to set the configurations

Configuration ItemRecommended ValueRationale
PARSE_SCAN_PDF_ENABLEtrueAdapts to scanned quality inspection report formats, and avoids text garbling after parsing
CHUNK_SIZE800–1200 charactersBalances chunking integrity for long text paragraphs and structured tables in chemical raw material documents, and avoids excessive truncation of parameter associations
PARSE_TABLE_MERGE_CELLautoAutomatically merges cross-cell and cross-page tables in documents, and fixes misaligned table issues
PARSE_FILE_TIMEOUT_SECONDS120 secondsAdapts to large-capacity industry research report documents, and avoids task termination due to parsing timeout
UPLOAD_FILE_MAX_SIZE500 MBMeets upload requirements for large batches of production and sales data documents
CHUNK_OVERLAP100–150 charactersRetains contextual association between chunks, and avoids breaking the binding relationship between CAS numbers and corresponding purity parameters

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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three common errors

  • Issue: Tables are parsed misaligned and fields are arranged chaotically after uploading a PDF quality inspection report. Cause: The PARSE_TABLE_MERGE_CELL configuration is not enabled, and automatic repair of table structures with merged cells and cross-page layouts is not performed.
  • Issue: After configuring a custom PDF parsing service in fastgpt 4.8.20-fix2, there is no response and the parsing result is empty. Cause: The correct custom service interface address is not filled in the system settings, or the PARSE_CUSTOM_PDF_ENABLE switch is not enabled.
  • Issue: After batch uploading large industry research reports, parsing tasks terminate due to timeout, returning the ETIMEDOUT error code. Cause: The PARSE_FILE_TIMEOUT_SECONDS configuration is not increased to a value suitable for large-capacity documents, leading to early task termination.

How to confirm the configuration is correct

  • Upload a typical chemical raw material quality inspection report PDF, and check if the parsed tables are complete, with no misalignment or missing fields.
  • Go to the system settings page, and verify that the values of core configuration items such as PARSE_SCAN_PDF_ENABLE and PARSE_TABLE_MERGE_CELL meet preset requirements.
  • Upload a document that exceeds the platform's default upload limit, and verify that the UPLOAD_FILE_MAX_SIZE configuration takes effect, with no upload failure prompts.
  • Initiate a file parsing task, and check that there are no external network request records in the task log, confirming that the parsing process runs locally.

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.