Data Characteristics for This Category
Autoimmune disease quality documents have diverse and specialized data sources. These include clinical trial reports (e.g., ICH GCP standards), Good Manufacturing Practice (GMP) documents for pharmaceuticals, medical device registration data, various research literature, and regulatory guidelines. Documents are typically in PDF, Word, or structured database formats. Updates occur quarterly or annually, driven by regulatory policies, new drug development, and clinical research results. Some critical guidelines have unscheduled revisions. Document structures are highly standardized, often including prefaces, tables of contents, chapter numbering, figures, tables, and references. Fields and units involve dosages (mg, µg), biomarker concentrations (ng/mL, U/L), time points (hours, days, weeks), and various clinical indicators (e.g., autoantibody titers, disease activity scores). Precision requirements are extremely high.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
The characteristics of autoimmune quality documents impose specific requirements on tool calling and plugins. First, the specialized and standardized document structure requires tools capable of parsing specific sections, tables, and figure captions for information extraction, such as OCR tools or PDF parsing libraries for structured information extraction. Second, irregular data updates necessitate version management capabilities in tool calling to ensure accurate referencing of specific document versions during inspections. Third, the multiple measurement units and clinical indicators involved require plugins to recognize and handle unit conversions during numerical comparisons or logical judgments, preventing errors due to inconsistent units. Additionally, strict citation requirements for document content compel tools to provide original sources or page numbers in responses to meet compliance.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8192 token | Covers typical single-chapter content in quality documents, minimizing segmentation loss. |
Chunk size (Segment Length) | 800–1000 characters | Balances semantic completeness with model processing efficiency, adapting to specialized terminology density. |
Recall count (Recall Count) | Top 10–15 entries | Improves recall accuracy for complex queries, covering more potentially relevant segments. |
Similarity threshold (Similarity Threshold) | 0.75–0.82 | Balances recall and precision, filtering irrelevant content. |
Rerank result count (Reranked Return Count) | Top 5 entries | Prioritizes the most relevant content, reducing model processing burden. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Accommodates parsing time for large PDF documents. |
Three Common Mistakes
ConnectionErrororHTTP 5xxerror codes occur when calling external APIs. This means the tool cannot execute correctly, usually due to network configuration issues or an unavailable target service.- The RAG model's response does not cite knowledge base content. Responses are generic or refuse to answer, indicating knowledge base recall failure or low relevance.
- Multiple tools are selected for concurrent execution. The model calls tools that should not run simultaneously, because tool definitions lack explicit exclusivity or priority settings.
How to Confirm Correct Configuration
- Conduct question-and-answer tests on typical quality documents. Check if the model's answers accurately cite original page numbers or chapter information.
- Use queries containing specific measurement units. Verify if the plugin correctly identifies units and performs logical judgments.
- Simulate various complex query scenarios. Observe tool call logs to confirm if tool selection and execution order meet expectations.
The values provided are common starting points and should be measured against specific 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.