What this category’s data looks like
Document sources for biologics include pharmaceutical regulatory agency approval and public disclosure documents, corporate clinical trial reports, patent application texts, industry research reports, and annual financial reports. Update cycles fluctuate with approval progress, corporate financial reporting cycles, and patent application status. No fixed schedule exists. Document structures primarily consist of dense statistical tables and long trial descriptions. Some documents are scanned mixed text-image files. Fields include professional metrics such as median effective dose and median lethal dose, with exclusive units such as mg/kg and mL. Identifying content such as registration certificate numbers and trial batch numbers is also included.
What constraints these characteristics impose on document parsing and chunking
The dense statistical table feature of biologics documents requires the parsing process to retain complete row and column structures. Pure text extraction will cause statistical data loss. The continuous logic of long trial descriptions requires chunking to match trial group boundaries. This prevents truncation of critical information. The binding of exclusive fields and units requires the parsing process to retain semantic associations. Do not split fields from their corresponding units. Frequently updated approval documents require the parsing workflow to have sufficient fault tolerance. This adapts to document inputs in different formats.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Biologics documents contain a large number of clinical trial statistical tables. Retaining table structures prevents loss of structured data |
CHUNK_SIZE | 800–1200 characters | Biologics trial description paragraphs are long. This range can cover the logic of a single trial group and avoid splitting across groups |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large PDF annual reports or patent documents takes a long time. This duration covers most scenarios |
UPLOAD_FILE_MAX_SIZE | 500 MB | Biologics-related documents are mostly high-density text-image PDFs. This upper limit covers most large files |
PARSE_PDF_OCR_MODE | Auto | Some documents are scanned clinical trial reports. Auto mode adapts to mixed scenarios of scanned documents and text-based documents |
CHUNK_OVERLAP | 100–150 characters | Contextual association of long trial descriptions is tight. Overlapping characters ensure logical coherence during recall |
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 case-by-case analysis. It is recommended to test against your own samples before finalizing settings.
Three common configuration errors
- Issue: Some PDF files fail to parse and return
504 Gateway Timeout. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. Parsing time for large approval documents exceeded the default threshold. - Issue: An error occurs when calling the document parsing tool during local deployment, returning
413 Request Entity Too Large. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted. This exceeds the default file upload limit. - Issue: No table content appears in parsing results, only scattered plain text fragments. Cause: The
PARSE_TABLE_ENABLEconfiguration was not enabled. Plain text-only extraction causes loss of structured tables.
How to confirm the configuration is properly set
- Upload a single biologics PDF containing dense tables. Check if tables in the parsing result retain complete row and column structures.
- Upload documents in different formats (DOCX, PPTX, PDF). Confirm no timeout errors occur during parsing and that duration meets expectations.
- Check if the
CUSTOM_READ_FILE_URLconfiguration in the configuration file is correct. Ensure the file parsing interface can be called normally during local deployment. - Adjust the
CHUNK_SIZEparameter, then compare chunking results for the same long document. Confirm chunking boundaries align with trial logic nodes.
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.