Data Characteristics
Indication data originates from drug inserts, clinical guidelines, pharmacopoeias, medical literature, and regulatory agency information. Update frequency is stable, typically adjusting with new drug approvals, drug insert revisions, or clinical research advancements. Update cycles range from several months to several years. Data structures commonly include fields such as drug name, generic name, indication description, dosage and administration, contraindications, and adverse reactions. Indication descriptions often involve disease names, patient populations (e.g., age, specific disease states), and treatment goals, with varying text lengths. Dosage and administration fields may contain units (mg, ml, IU), frequencies (once daily, hourly), and treatment durations (days, weeks), with variations across different formulations and routes of administration.
Constraints from Data Characteristics on Deployment and Upgrades
The stable update frequency of indication data requires regular incremental updates or full refreshes of the knowledge base after deployment. Data cleansing and standardization are extensive during initial deployment due to diverse sources and inconsistent formats. This requires parsing document structures and mapping fields from various sources. The complexity of indication description text and its specialized terminology demand high semantic understanding from vector embedding models, affecting recall accuracy. Dosage and administration fields contain unit and numerical information, requiring the RAG system to accurately identify and infer these during Q&A. Additionally, the existence of multiple versions of drug inserts necessitates careful handling of conflicts and overwrite logic between historical and latest versions during knowledge base upgrades to ensure timeliness and accuracy of responses.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 100 MB | Drug insert PDF files are often large; ensure successful upload. |
maxContext | 1500 characters | Indication descriptions and related dosage information are typically long; ensure context completeness. |
Chunk size (Segment Length) | 300–500 characters | Balances semantic integrity and recall granularity; prevents dilution of key information in long texts. |
Recall count (Recall Count) | Top 8 entries (Top 8) | Increases recall scope to cover more potentially relevant indications or drug information. |
Similarity threshold (Similarity Threshold) | 0.75 | Ensures high relevance between recall results and user queries; reduces inaccurate information. |
Rerank result count (Rerank Return Count) | Top 3 entries (Top 3) | After reranking, prioritize the most relevant indication answers to improve user experience. |
Common Pitfalls
- A 404 error after login typically indicates incorrect backend service address configuration or proxy settings preventing the frontend from accessing API interfaces.
- Lack of critical dosage or administration information in knowledge base Q&A results from a segmentation strategy that fails to effectively retain or extract these numerical fields with units.
- Degraded performance of existing indication Q&A after a system upgrade often results from incompatibility between new model versions and old data indexes, or an update process that did not adequately consider historical data migration and reconstruction.
Verification Steps
- Simulate user queries for various typical indication Q&A scenarios. Verify that returned answers accurately cover drug names, indication descriptions, and key dosage and administration information.
- Upload drug inserts in different formats (e.g., PDF, TXT). Check if the system successfully parses them and generates usable knowledge base segments.
- Conduct concurrency tests. Observe if the system responds stably to indication queries under high load. Check for error messages or performance bottlenecks.
The values provided are common starting points. Measure them 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.