Data Characteristics
Documents for Phase I clinical trial regulations and Standard Operating Procedures (SOPs) originate from regulatory authority guidelines, pharmaceutical companies' internal policies, and collaborating research institutions' operational manuals. These documents are typically in PDF, DOCX, or RTF format, featuring rigorous structures, extensive technical jargon, charts, and flowcharts. Update frequency is relatively low, primarily occurring during regulatory policy changes, new drug development process optimizations, or internal management system upgrades. Document lengths vary significantly, from dozens of pages for an SOP to hundreds of pages for regulatory compilations. Fields and units often involve dosage units (mg/kg), time units (hours, days), statistical indicator symbols, and pharmacokinetic parameter abbreviations.
Constraints on Deployment and Upgrade
The stability of Phase I clinical trial regulation documents means that initial, large-scale historical document imports are a critical step in knowledge base construction. Due to the low update frequency, the incremental update mechanism for the knowledge base must accurately detect changes to avoid unnecessary re-indexing. The rigorous and specialized nature of the documents requires that the tokenizer and embedding model are optimized for the biomedical domain to ensure accurate recall of technical terms. Charts and flowcharts within documents pose a challenge for document parsing, requiring complete text extraction to avoid missing critical information. Diverse file formats and potential scanned documents necessitate more resources in the file preprocessing stage to ensure high-quality text input.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Accommodates large documents, such as regulatory compilations, ensuring single-upload capability. |
Chunk size (Chunk Length) | 800–1200 characters (characters) | Balances context completeness with recall granularity, adapting to the paragraph structure of regulatory documents. |
Recall count (Recall Count) | Top 8 entries (top 8) | Increases recall scope to cover multiple relevant clauses potentially involved in regulatory inquiries. |
Similarity threshold (Similarity Threshold) | 0.75 | Ensures high relevance of recall results for Phase I clinical trial regulation inquiries. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds (seconds) | Handles parsing time for complex PDFs or large DOCX files, preventing timeout interruptions. |
maxContext | 32000 tokens | Ensures the large language model can fully understand the context when processing multiple recall results. |
Common Pitfalls
- Symptom: Reduced accuracy for certain technical terms after an upgrade. Reason: The new default tokenizer or embedding model was not optimized for the biomedical domain, leading to diminished technical vocabulary recognition.
- Symptom: After deployment, content from flowcharts within some regulatory documents cannot be retrieved or answered. Reason: The document parsing module did not effectively process text embedded in images or failed to convert flowcharts into understandable text descriptions.
- Symptom: During a fresh deployment, the system remains in an initialization state for an extended period or reports
database connection failed. Reason: PostgreSQL or Milvus database connection parameters were configured incorrectly, or hardware resources (e.g., memory, disk I/O) are insufficient to support database initialization.
Verification Steps
- Upload a Phase I clinical trial SOP file containing complex charts and technical terms. Verify complete file parsing and extraction of key text from charts.
- Ask multiple questions related to different regulatory clauses in Phase I clinical trial regulations. Check the accuracy of answers and the relevance of recall results. Ensure the similarity threshold and recall count are configured appropriately.
- Monitor system logs for
PARSE_FILE_TIMEOUT_SECONDStriggers. Ensure large document parsing does not fail due to timeouts. - After an upgrade, run a test suite containing core Phase I clinical trial questions. Compare question-answering performance before and after the upgrade to verify model and knowledge base compatibility.
Note: The values provided are common starting points and should be measured against the reader's 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.