Data Characteristics
Small molecule pharmaceutical regulations and Standard Operating Procedure (SOP) data come from internal quality management system documents, registration dossiers, production batch records, and research and development reports. These documents are typically PDFs, Word files, or scanned images. Update frequency is relatively low, ranging from months to years, usually occurring with regulatory updates, production process changes, or new drug development milestones. Document structure is rigorous, containing extensive terminology, charts, and cross-references. Common fields include batch number, substance code, CAS number, test method, limit requirements, equipment number, operating steps, and safety precautions. Units include mass (mg, g, kg), volume (mL, L), concentration (%, ppm), time (min, h), and various physicochemical parameters (pH, ℃, Pa).
Constraints Imposed by These Characteristics on Workflow Orchestration
The low update frequency of small molecule pharmaceutical regulation documents means knowledge base construction does not require frequent full updates. Incremental update mechanisms are more suitable. The rigorous document structure and extensive terminology demand higher standards for text segmentation and embedding model selection, ensuring semantic completeness and accurate recognition of specialized vocabulary. The presence of cross-references and charts means simple text retrieval might not provide complete answers. The workflow needs to handle multimodal information or perform deep semantic understanding after retrieval. High-precision fields and units, such as batch numbers or limit values, require high accuracy from extraction modules in the workflow to avoid data confusion or misinterpretation. Furthermore, complex logic and decision paths within documents, like risk assessment or deviation handling processes, require the workflow to support multi-step operations, conditional judgments, and external tool calls to simulate actual procedures.
Configuration Recommendations
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
Chunk size (Segment Length) | 800–1200 characters | Balances semantic integrity with model processing efficiency, reducing context loss. |
Recall count (Retrieval Count) | Top 5 | Balances retrieval breadth with computational load for subsequent re-ranking or model processing. |
Similarity threshold (Similarity Threshold) | 0.75 | Ensures strong relevance of retrieved content and filters out noise. |
maxContext | 4000 | Accommodates the complexity and specialized nature of small molecule pharmaceutical SOP texts. |
Rerank result count (Re-rank Return Count) | 3 entries | Focuses on the most relevant key information, improving the accuracy of the final answer. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses the parsing time requirements for large PDFs or scanned documents. |
Three Common Pitfalls
- Workflow execution timeout or empty results: This occurs when
PARSE_FILE_TIMEOUT_SECONDSis set too low for large PDF files, causing processing to interrupt before completion. - Incorrect critical batch numbers or limit values in answers: This happens when the text extraction module inaccurately identifies specific field formats, potentially due to OCR errors or imperfect regular expression rules.
- Database connection failure, error
Failed to connect to jyfkk:1433: This indicates incorrecthostorportparameters in the workflow's database connection configuration, or a firewall blocking the connection.
How to Verify Configuration
- Upload a standard SOP document containing complex charts and cross-references. Check if segmentation is reasonable and if key information is fully extracted.
- Ask questions about specific batch numbers or detection limits. Verify that the workflow's answers are accurate and consistent with the original document.
- Execute workflow steps involving database queries. Check if the workflow successfully connects to the
SQL Serverdatabase and returns expected data. - Simulate user questions about specific operating procedures. Check if the workflow can perform logical judgments and integrate information according to the steps defined in the document, providing coherent answers.
The values given 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.