What the data for this category looks like
Sources of chemical pharmaceutical investment research data include public patent databases, publicly available clinical study reports, pharmaceutical company R&D pipeline disclosure documents, pharmacopoeia standard files, and industry research reports. Update rhythms vary significantly by content type: patents update in real time as applications are published, clinical study data is disclosed at trial phase milestones, industry research reports are released quarterly, and pharmacopoeia standards are formally revised every 5 years.
Document types range from full patent texts spanning dozens of pages, hundreds-page clinical study reports, structured compound parameter tables, to single-page R&D pipeline briefings. Fields include SMILES chemical structure codes, CAS registry numbers, molar mass, solubility, median lethal dose, and others. Units include g/mol, ℃, mg/kg, and similar units.
What constraints these characteristics impose on document parsing and chunking
Long-text patents and clinical reports must avoid splitting professional content across paragraphs, as this breaks the logical integrity of chemical structure descriptions and experimental procedures. Structured compound parameter tables have multiple column fields; all column content must be fully identified during parsing, rather than only extracting the first two columns.
For numeric fields with units, ensure the numeric value and its corresponding unit are bound together during chunking, to prevent matching failures during retrieval. Professional codes such as SMILES structures must retain their original format, to avoid truncation or garbled text during parsing. Public data with high update frequencies also requires the parsing process to have sufficient processing speed, to avoid delays that compromise the timeliness of the knowledge base.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_MAX_COLUMNS | 10–15 columns | Structured tables for chemical pharmaceutical investment research typically include multiple columns of parameters such as compound IDs, CAS numbers, and molecular formulas. This range covers conventional business scenarios. |
chunk_size | 800–1200 characters | Chemical pharmaceutical documents contain long paragraphs of experimental descriptions and professional codes. This range preserves the logical integrity of content and avoids splitting that disrupts professional material. |
PARSE_PDF_USE_MINERU | Enabled | Chemical pharmaceutical PDFs contain complexly formatted structural formulas and tables. Enhanced parsing improves recognition accuracy. |
UPLOAD_EXCEL_PARSE_MODE | Full column parsing | Excel tables used for investment research include multiple columns of professional parameters. Full extraction of all column contents supports precise retrieval. |
PARSE_KEEP_ORIGINAL_UNIT | Enabled | Numeric fields in chemical pharmaceutical materials must be bound to units to ensure retrieval validity and prevent matching failures. |
PARSE_TIMEOUT_SECONDS | 300 seconds | Parsing long patents or clinical reports requires extended processing time. This duration covers most long-document parsing requirements. |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Scenario: After an Excel file containing multi-column compound parameters is uploaded, the knowledge base only identifies the first two columns of content. Cause: The
PARSE_TABLE_MAX_COLUMNSconfiguration item was not adjusted, and the default parameter limits the number of table columns that can be extracted. - Scenario: After a PDF containing chemical structural formulas is uploaded, the structural formulas in the parsing result are garbled, and retrieval cannot match professional content. Cause: The
PARSE_PDF_USE_MINERUconfiguration was not enabled, and enhanced parsing for complexly formatted structural formulas and tables was not activated. - Scenario: A 504 timeout error is triggered when a patent document with more than 100 pages is parsed. Cause: The
PARSE_TIMEOUT_SECONDSconfiguration was not adjusted, and the default timeout duration is insufficient to complete parsing of long documents.
How to confirm proper configuration
- A test Excel file with more than 3 columns can be uploaded, and parsed content can be checked to confirm all column fields are included.
- A PDF containing chemical structural formulas can be uploaded, and parsed content can be verified to retain complete SMILES codes and structural formula descriptions.
- Chunked document fragments can be reviewed to confirm numeric values and their corresponding units are included in the same chunk.
- A patent document with more than 100 pages can be uploaded, and parsing tasks can be verified to complete within the preset timeout duration.
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.