Data Characteristics
Cardiovascular intervention regulations and SOP documents typically originate from National Medical Products Administration (NMPA) regulations, quality management system documents from medical device manufacturers, and internal ethics committee and operational guidelines from hospitals. These documents are in PDF, DOCX, or scanned image formats. Content covers medical device registration and approval, Good Manufacturing Practice (GMP), clinical trial protocols, operational procedures, and adverse event reporting and handling. Update frequency is irregular, driven by policy adjustments and device technology iterations. Reviews are typically quarterly or annually, but significant policy changes can trigger immediate updates. Document structures are primarily chapter-based, containing specialized terminology, abbreviations, and specific units of measurement, such as "mL/min," "mmHg," and "Gy." They often include appendices, diagrams, and references.
Constraints on Deployment and Upgrade
The non-periodic updates of cardiovascular intervention documents require a flexible knowledge base update mechanism. The system must quickly identify and integrate new document versions and handle version conflicts. The high density of specialized terminology and units of measurement in documents challenges the accuracy of word segmentation and entity recognition, impacting the precision of vector retrieval. The prevalence of PDF and scanned image documents necessitates efficient OCR and layout parsing capabilities to ensure complete and structured text extraction. The highly specialized and rigorous nature of the document content demands high accuracy and traceability for question-answering results. During deployment, particular attention is needed for model domain adaptation and factual verification mechanisms. The deployment environment must meet storage and computational demands for large volumes of unstructured data. During upgrades, ensuring a smooth transition of old knowledge bases and effective integration of new and old knowledge is crucial.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Accommodates large PDF regulation file uploads |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Accounts for parsing time of complex layouts and multi-page scans |
maxContext | 800–1200 characters | Ensures complete semantic integrity of cardiovascular intervention regulation clauses |
Chunk size (Segment Length) | 300 characters | Balances text semantic integrity and vector retrieval efficiency |
Recall count (Retrieval Count) | Top 5 | Improves coverage of relevant regulation clauses in complex Q&A scenarios |
Similarity threshold (Similarity Threshold) | Calibrated by measurement | Requires adjustment through test sets based on actual data and model performance |
Common Pitfalls
- After a knowledge base update, some older questions fail to retrieve the latest clauses. This happens when metadata for new and old document versions are not correctly linked, or the index is not fully rebuilt.
- When users ask about compliance requirements for specific device models, the system returns overly generalized or irrelevant answers. This occurs because the model inaccurately recognizes specialized cardiovascular intervention terminology, leading to vector matching deviations.
- Large file uploads or parsing operations result in timeout errors. This typically indicates that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is too low for processing large PDF files.
Verification Steps
- Upload a cardiovascular intervention regulation document containing the latest regulatory revisions. Confirm its content is correctly parsed and vectorized.
- Ask complex questions involving specialized terminology and units of measurement from the document. Check if the answers accurately cite the original text and indicate the source document and page number.
- Simulate large file upload scenarios. Verify that file upload and parsing processes complete without timeouts or interruptions. Check that the knowledge base index status is normal.
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.