Data Characteristics
Small molecule pharmaceutical regulations and Standard Operating Procedure (SOP) documents originate from regulatory agency guidelines and internal pharmaceutical company R&D, production, quality control, and clinical trial procedures. These documents update infrequently. However, updates typically have mandatory and widespread impact. Document structures feature clear hierarchical chapters and clauses. They often contain extensive specialized terminology, abbreviations, tables, and flowcharts. Fields include dosage, concentration, batch, expiry date, temperature, and pressure. Units are precise and varied, such as milligrams (mg), micromoles (µmol), degrees Celsius (°C), and Pascals (Pa). File formats are primarily PDF and DOCX. Some older documents may be scanned images.
Constraints from "Document Parsing and Chunking"
The hierarchical structure of small molecule pharmaceutical documents requires effective chapter boundary identification during parsing. This prevents semantic confusion across chapters. The dense presence of specialized terminology and abbreviations means chunking must maintain contextual completeness. This ensures that terminology explanations or related definitions are recalled with their usage scenarios. The presence of tables and flowcharts challenges pure text parsing. This may require additional image recognition or manual annotation to extract key information. Precise fields and units require chunked content to clearly present key parameters and retain their units. This prevents information misinterpretation or loss during recall. The low update frequency but high impact characteristic makes managing and indexing historical document versions important. This ensures question-answering results are based on the currently effective regulatory version.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
Chunk size (Chunk Length) | 800–1200 characters | Balances the completeness of specialized terminology context with single-chunk information density. Avoids excessive length that reduces recall efficiency. |
Overlap Length | 100–200 characters | Ensures semantic continuity between adjacent chunks. Reduces semantic breaks caused by chunk boundaries, especially in process descriptions. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Handles parsing large or complex PDF/DOCX documents. Prevents parsing failures due to timeouts. |
UPLOAD_FILE_MAX_SIZE | 100 MB | Accommodates regulatory documents that may contain numerous charts, tables, or high-resolution scanned images. Ensures unimpeded file uploads. |
Separator | \n\n (double newline) and . (period followed by space) | Regulatory documents often use paragraphs or sentences as basic semantic units. These separators effectively identify them. |
maxContext | 3000 Tokens | Ensures sufficient contextual information loads during question answering. Addresses questions involving complex logic or multi-step processes. |
Common Pitfalls
- Uploading large PDF documents results in a timeout. This occurs because the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is too low, not allowing enough time for complex document parsing. - Question-answering results do not accurately quote the knowledge base source text but instead present an AI model's rephrasing. This happens due to incorrect recall strategy configuration or improper
Similarity threshold(similarity threshold) settings. - Some DOCX documents fail to parse or have missing content. This usually stems from non-standard embedded objects within the document, such as special macros or non-text layers, which the parser cannot recognize.
Verification Steps
- Upload a typical regulatory document containing multiple chapters, tables, and specialized terminology. Check the chunk preview in the knowledge base. Confirm that chunk length, overlap, and chapter boundaries are reasonable.
- Ask questions about key regulations, specific parameter values, or operating procedures within the document. Verify that the question-answering results accurately recall relevant passages from the original text and retain original field and unit information.
- Upload a document known to cause parsing failures (e.g., an oversized file or a complex format file). Adjust the
PARSE_FILE_TIMEOUT_SECONDSandUPLOAD_FILE_MAX_SIZEparameters. Reattempt the upload to confirm if the error disappears.
The values provided are common starting points. Measure them against your own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.