Data Characteristics for this Category
Regulatory and SOP documents in the home medical sector originate primarily from medical device manufacturers' internal quality management systems, product manuals, regulations issued by the National Medical Products Administration (NMPA), and industry standards. Data update frequency is relatively stable, typically aligning with regulatory revision cycles or product iteration cycles, such as annual or quarterly partial updates. Document structures are predominantly PDF and Word formats, containing numerous charts, flowcharts, and specialized terminology. Fields and units exhibit strong industry-specific characteristics, such as product batch numbers, production dates, expiration dates, registration certificate numbers, model specifications, calibration cycles, and measurement units (e.g., mmHg, mmol/L, ℃). These require extremely high precision and consistency.
Constraints Imposed by these Characteristics on "Deployment and Upgrade"
Home medical regulatory documents are rich in specialized terminology and have relatively fixed update cycles. This requires the knowledge base, during deployment, to effectively process large volumes of structured and semi-structured data and ensure accurate terminology parsing. The authoritative nature of data sources dictates that knowledge base content must remain highly synchronized with original documents; any version lag can lead to deviations in question-answering results. The inclusion of charts and flowcharts in documents means that text extraction and segmentation must consider the contextual relevance of non-textual information to avoid information loss. Strict requirements for precise units and fields necessitate particular attention to entity recognition and standardization during the text preprocessing phase at deployment, ensuring that question-answering results can accurately reference or calculate relevant values. During upgrades, incremental updates must be supported, with the ability to quickly identify and integrate differences between new and old versions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Regulatory documents often contain many images and flowcharts, making file sizes large. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Processing large PDF files requires longer parsing times to avoid timeouts. |
Chunk size (Segment Length) | 800–1200 characters | Ensures each segment contains sufficient context while avoiding excessively long segments that lead to information redundancy. |
Recall count (Recall Count) | Top 5 entries (Top 5) | Improves recall precision, covering multiple relevant regulatory clauses. |
Similarity threshold (Similarity Threshold) | 0.75 | The medical field demands high accuracy; increasing the threshold reduces irrelevant results. |
maxContext | 3000 Tokens | Ensures the model can process longer regulatory clauses and the context of user queries. |
Three Common Mistakes
- Knowledge base question-answering results lack product batch numbers or expiration dates: This often occurs because critical entity fields are not correctly identified or extracted during document parsing.
- Speech recognition service cannot be called, returning a
404 Not Founderror: This may be due to an incorrectv1/audio/transcriptirequest address configuration or improper deployment of the Whisper service. - Chat logs are not retained long-term, and history is lost: This is typically due to non-persistent storage configuration for Docker containers or a
LOG_RETENTION_DAYSsetting that is too short.
How to Confirm Correct Configuration
- Upload a home medical device manual containing complex charts and specialized terminology. Check if the knowledge base can correctly parse and extract text content.
- Ask questions about specific product models, batch numbers, or calibration cycles. Verify that the question-answering results accurately reference specific values and units from the document.
- Simulate a user asking about a regulatory process. Check if the question-answering response clearly reiterates process steps and mentions relevant responsible departments or timelines.
- Review system logs to confirm that no timeout or out-of-memory error codes occur when processing large file uploads and parsing.
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.