Data Characteristics
Quality documents for Phase II-III clinical trials primarily include clinical trial protocols, investigator brochures, informed consent forms, case report forms (CRFs), and clinical study reports. These documents are typically in PDF format, with some potentially being scanned images. Document content is highly structured, containing extensive specialized terminology, medical units (e.g., mg/kg, mmol/L), time units (e.g., weeks, months), dosage information, adverse event codes (e.g., MedDRA codes), and subject IDs. Document update frequency is relatively low, occurring mainly during protocol amendments, safety report updates, or interim study summaries. Individual documents are often lengthy, potentially reaching hundreds of pages.
Constraints Imposed by These Characteristics on Document Parsing and Chunking
The highly structured and specialized nature of Phase II-III clinical documents requires document parsers to accurately identify sections, tables, figures, and key entity information. Lengthy documents challenge chunking strategies, necessitating chunks that maintain contextual completeness while avoiding excessive length that could reduce retrieval efficiency. Accurate identification and standardization of medical terminology and units are crucial for subsequent knowledge retrieval; incorrect parsing can lead to loss or misunderstanding of critical information. The presence of scanned images requires OCR capability to extract non-text content. Additionally, sensitive subject information within documents demands consideration of data anonymization or access control during parsing.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Phase II-III clinical documents can be large; this ensures successful uploads. |
Chunk size (Chunk Length) | 800-1200 characters (characters) | Balances contextual completeness with retrieval efficiency, accommodating dense specialized terminology. |
Chunk Overlap Length (Chunk Overlap Length) | 100 characters (characters) | Ensures contextual continuity at chunk boundaries, reducing information fragmentation. |
Parsing Mode | Smart Chunking | Automatically identifies paragraphs based on content structure, adapting to document complexity. |
OCR_ENABLED | True | Ensures processing of PDF documents containing scanned images. |
PARSE_TABLES_AS_TEXT | True | Converts table content to text, facilitating subsequent retrieval of table data. |
Three Common Mistakes
- After uploading a document, the chat interface displays "Document parsing failed, please check file format or size." This can occur if
UPLOAD_FILE_MAX_SIZEis set too low, preventing large trial protocol files from being uploaded. - Knowledge base retrieval results show missing or incorrect dosage or unit information. This may be because the document parser failed to correctly identify medical units or separated critical values from their units during chunking.
- When faced with table content in documents, retrieval results cannot provide specific data within the tables. This can happen if
PARSE_TABLES_AS_TEXTis not enabled, causing table content to be skipped or incompletely parsed.
How to Verify Correct Configuration
- Upload a Phase II clinical trial protocol PDF file containing complex tables and medical terminology. Check if the knowledge base can retrieve specific data within the tables and complete descriptions of specialized terms.
- Upload a Phase III clinical trial report exceeding 200 pages. Verify that the document parsing status is successful. Randomly select several chunks and confirm that their content maintains good contextual completeness.
- Perform a knowledge base search for a specific adverse event code (e.g., "AE001"). Confirm the system accurately returns document fragments containing the code, with complete and correct descriptions.
The values provided are common starting points and should be measured 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.