Data Characteristics
Rehabilitation equipment regulations and SOP documents originate from internal medical institution management rules, national and industry regulatory technical standards, operational guidelines, and manufacturer product manuals. These documents update at a stable frequency, typically quarterly or semi-annually, for regulatory revisions, new equipment introductions, or operational process optimizations. Regulatory documents often use a chapter format, including terminology definitions, responsibility assignments, operating procedures, risk assessments, and emergency plans. Product manuals focus on equipment functions, parameters, maintenance, and troubleshooting. Common fields include equipment model, serial number, operator qualifications, calibration cycles, and safety inspection items. Units involve power (watts), frequency (hertz), time (seconds/minutes), and various measurement units.
Constraints for Knowledge Base Retrieval and Recall
The diverse sources of rehabilitation equipment regulation documents require the knowledge base to integrate heterogeneous data formats, such as PDF regulatory files and Word SOPs. Stable update frequencies mean initial comprehensive document import, followed by incremental updates, which requires robust document version management. The documents contain many specialized terms, equipment models, and technical parameters. This makes traditional keyword-based retrieval prone to incomplete recall or irrelevant information. Accurate matching of structured information, such as equipment models and operational steps, demands precise segmentation strategies and metadata extraction. Additionally, common images (e.g., equipment diagrams, operation flowcharts) can lead to significant context loss if not parsed, impacting retrieval effectiveness.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size (Segment Length) | 800–1200 characters (characters) | Rehabilitation equipment SOPs often have lengthy step descriptions. This length ensures enough context in a single segment, preventing critical information truncation. |
Maximum Paragraph Depth (Max Paragraph Depth) | 5 | Regulatory documents often use multi-level heading structures. This depth helps capture hierarchical relationships, improving context completeness during retrieval. |
Recall count (Recall Count) | Top 5 entries (top 5) | Given the rigor of rehabilitation equipment operations, recalling fewer but highly relevant segments reduces irrelevant information interference and improves answer accuracy. |
Similarity threshold (Similarity Threshold) | 0.75–0.82 | For highly specialized regulatory texts, a higher threshold ensures semantic relevance of recalled content, filtering out generic matches. |
Rerank result count (Rerank Return Count) | 3 | Further filters the recall results to a few most relevant items, ensuring the information provided to the user is highly focused. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds (seconds) | Rehabilitation equipment manuals and regulatory documents may contain many images and complex layouts. Extending parsing time ensures complete processing. |
Common Pitfalls
- After knowledge base import, some images in regulatory documents are not parsed. This leads to incomplete information in related Q&A. The issue is a lack of OCR or multimodal parsing for image content; relying solely on text extraction loses visual information.
- When users ask for specific equipment operating procedures, the system returns many irrelevant general management regulations instead of specific operational details. This happens when knowledge base segmentation granularity is too large, causing a single segment to contain too many topics, preventing precise retrieval.
- After updating maintenance manuals for some equipment models, the system still references old content in its answers. This indicates the knowledge base lacks an effective version management mechanism, with old and new documents coexisting or updates being delayed, leading to outdated information.
Verification Steps
- Select typical questions covering different equipment models and operating scenarios. Simulate queries and observe if recall results include correct and complete key information.
- Inspect imported documents in the knowledge base. Confirm all text content, especially tables and image captions, are correctly parsed and indexed, with no large blank sections or garbled text.
- Test recently updated regulations or SOP documents. Verify the system prioritizes recalling the latest version and that older versions are handled appropriately (e.g., marked as historical or removed).
Note: The values provided are common starting points. Measure performance 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.