What the data for this category looks like
Data sources for chemical pharmaceutical research reports include public securities firm medical industry research reports, National Medical Products Administration CDE public documents, pharmaceutical company R&D pipeline announcements, clinical trial registration data, patent published literature, and pharmacopoeia standard documents. Update frequency adjusts based on enterprise announcement releases, clinical trial milestone progress, industry research report launches, and patent publication cycles.
Most documents use mixed formats. These include multi-column tables, chemical structural formula images, plain text paragraphs, and structured data blocks. Covered fields include drug generic names, chemical names, target names, IC50/EC50 values, molecular weight, molecular formula, clinical trial phases, indication scope, and data traceability identifiers. Units mostly use professional measurement standards such as nM, μM.
What constraints do these characteristics impose on the document parsing and chunking workflow
The mixed document structure requires parsing to support structured extraction of multi-column tables and chemical structural formula recognition. This prevents column data misalignment and unrecognizable structural formulas.
The diversity of professional units and terms requires retaining original identifiers after parsing. This avoids professional data distortion caused by unit conversion.
Documents contain both long R&D background paragraphs and short professional data blocks. The chunking strategy must balance contextual coherence and data granularity. This prevents disruption of the logical association between professional data.
Some documents are scanned PDFs. The OCR module must adapt to medical professional terms. This reduces the error rate of term recognition.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
parseOcrEnable | Enabled | Chemical pharmaceutical research reports often include scanned PDFs and chemical structural formula images. OCR extracts professional text and structural content from images |
parseMultiTable | Enabled with multi-column merge parsing enabled | Research reports mostly use multi-column tables to display pipelines or physical and chemical parameters. This avoids column data misalignment |
Chunk Length | 800–1200 characters | Balances contextual coherence of professional paragraphs and data granularity. Prevents splitting of associated R&D data blocks |
Chunk Overlap | 100–150 characters | Retains professional term context across chunks. Prevents semantic breaks caused by split terms |
parseChemStructEnable | Enabled | Chemical structural formulas in research reports must be individually recognized and associated with corresponding text blocks. This ensures retrieval matches content related to structural formulas |
parseFileTimeoutSeconds | 600 seconds | Long document parsing requires sufficient time to process mixed-format content. This prevents parsing timeouts |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Column data misalignment and field merging errors appear after parsing multi-column pipeline tables. Cause: Multi-column table parsing configuration is not enabled. The default parsing logic only adapts to single-column table layouts.
- Symptom: After uploading a PDF containing chemical structural formulas, the parsing result does not include text descriptions or image association information corresponding to the structural formulas. Cause: Chemical structural formula recognition and image text association configuration are not enabled. Only plain text paragraphs are extracted.
- Symptom: Parsing fails when uploading large research report PDFs. Logs show a 408 status code timeout error. Cause: The
parseFileTimeoutSecondsconfiguration is not adjusted. The default timeout duration is insufficient for processing long mixed-format documents.
How to Verify Correct Configuration
- Upload a single test PDF containing multi-column pipeline tables and chemical structural formulas. Verify the integrity of table structures and structural formula recognition in the parsing result.
- Review chunked content. Confirm that professional units are not converted or lost, and associated R&D data is not split into different chunks.
- Upload a single long document for testing. Confirm that no timeout errors occur during parsing, and the chunking logic matches the preset configuration.
- Check image association information in the parsing result. Confirm that embedded structural formula images are correctly bound to corresponding text blocks.
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.