Data Characteristics
siRNA (small interfering RNA) nucleic acid drug data originates from clinical trial reports, real-world evidence (RWE) studies, post-market surveillance reports, and peer-reviewed academic literature. Data updates frequently, especially during initial drug launch and expanded indication phases. Document structures typically include detailed (anonymized) patient information, dosing regimens, adverse event (AE) descriptions, severity, onset time, outcome, causality assessments, and interventions. Key fields include patient_id, drug_name, siRNA_target, adverse_event_term (MedDRA coded), onset_date, seriousness_criteria, outcome, and causality_assessment. This data often exists as structured tables (e.g., CSV, Excel), semi-structured text (e.g., PDF reports, clinical notes), or ICH E2B compliant XML files.
Constraints on Citation and Traceability
High update frequency and diverse data sources for siRNA nucleic acid drug data require dynamic updates and integration of different data formats for citations. Detailed clinical reports and academic literature contain extensive unstructured text, posing challenges for information extraction and knowledge graph construction. Standardized terminology like MedDRA coding necessitates precise matching in citations to avoid semantic drift. The varied and complex nature of adverse event descriptions requires traceability mechanisms to delve into original text snippets, supporting accurate causality judgments. Furthermore, potential off-target effects specific to siRNA targets demand special attention to unexpected adverse reactions related to specific targets during citation and traceability, ensuring comprehensive and accurate retrieval, and distinguishing between drug effects and individual patient differences.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
maxContext | 3000–4000 characters | Accommodates the context requirements of lengthy clinical reports and academic literature, retaining more detail. |
Recall count (Recall Count) | 8–12 items | Ensures coverage of sufficient relevant document snippets when querying complex adverse events. |
Similarity threshold (Similarity Threshold) | 0.75–0.85 | Balances precise matching of MedDRA codes and drug mechanism descriptions with semantic similarity. |
Rerank result count (Reranked Return Count) | Top 5 items | Prioritizes the most relevant and information-dense citation sources, improving user review efficiency. |
Chunk size (Segment Length) | 800–1200 characters | Balances textual semantic integrity with recall granularity, preventing excessive splitting that leads to context loss. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Allows sufficient time for the system to process large PDF-formatted clinical trial reports. |
Common Mistakes
- Knowledge base query results do not match original data. This primarily occurs when the
Similarity threshold(Similarity Threshold) is set too low, leading to the recall of semantically imprecise text snippets. - Missing or incomplete citation sources. This manifests as answers not providing original document links or specific page numbers, often due to improper segmentation strategies for unstructured text during knowledge base import, or
maxContextbeing too small, truncating key information. - Timeout or loading issues when processing large clinical reports. This appears as file parsing failures or long-unresponsive index construction, potentially related to an insufficient
PARSE_FILE_TIMEOUT_SECONDSparameter setting.
Verification of Configuration
- For typical siRNA nucleic acid drug adverse event queries, check if the cited sources in the answer link directly to specific paragraphs or pages in the original document.
- Randomly select 10 question-answer pairs. Verify that the answer content is highly consistent with the corresponding original questions or text in the knowledge base, with no additional generative information.
- Use queries containing MedDRA codes. Confirm that the system's returned citation sources accurately mention the code and can be traced back to the original text containing that code.
- Upload a clinical trial report in PDF format exceeding 50MB. Observe if it completes parsing and index construction within the specified time, without error messages.
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.