Data Characteristics in This Category
Rehabilitation equipment R&D documents come from diverse sources. These include design specifications, test reports, clinical validation data, user manuals, maintenance logs, and regulatory compliance files. Document update frequency varies with the product lifecycle stage. For example, the design phase might see weekly updates, while post-market maintenance documents update on demand. Document structures often include numerous diagrams, CAD model references, specific functional module descriptions, and performance parameter tables. Fields and units are highly specialized. For instance, "maximum load capacity" typically uses kilograms (kg), "adjustment range" might use millimeters (mm) or degrees (°), and "operating cycle" might use seconds (s) or minutes (min). These often come with strict tolerance ranges and measurement method descriptions.
Constraints on Database and Operations
The specialized nature, varied update frequency, and complex structure of rehabilitation equipment R&D documents impose specific requirements on database selection and operational strategies. The large volume of diagrams and CAD model references requires support for unstructured data storage and efficient retrieval. Traditional relational databases are insufficient. They need to be combined with document databases or vector databases. Varying update frequencies demand incremental updates and version management capabilities to ensure seamless integration of new and old documents. The strictness of fields and units, especially tolerances and measurement methods, requires the knowledge base to accurately identify and retain this critical information during parsing. This forms the basis for precise question answering. Additionally, common performance parameter tables in documents must be extractable in a structured way for cross-querying and analysis. The need for concurrent processing arises when multiple users simultaneously upload, query, and parse documents, especially during project sprints.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | Rehabilitation equipment design documents and test reports often contain large diagrams and embedded objects. |
PARSE_FILE_TIMEOUT_SECONDS | 600 | Parsing large PDFs or documents with complex tables can be time-consuming. |
maxContext | 3000 Tokens | Ensures capture of complex contextual information and technical details in rehabilitation equipment documents. |
Chunk size (Segment Length) | 800 characters (characters) | Technical description paragraphs in rehabilitation equipment documents are often long, requiring sufficient length for semantic completeness. |
Recall count (Recall Count) | Top 8 entries (top 8 entries) | Improves accuracy for complex technical questions by covering more relevant information. |
Similarity threshold (Similarity Threshold) | Calibrate by actual measurement (Calibrate based on actual measurements) | Requires adjustment based on the specific document set and query type to balance recall and precision. |
Common Pitfalls
- Key technical parameters (e.g., tolerance ranges) are missing or incorrect in knowledge base query results. This occurs because tables or specific numerical unit formats were not correctly identified and extracted during document parsing.
- The system experiences slow response or timeouts during peak document upload and parsing. This happens when the underlying database's concurrent connection limit or I/O performance is not optimized for high concurrency scenarios.
- Updated document content is not reflected in the knowledge base promptly, leading users to outdated information. This is due to improper incremental update mechanism configuration or a lack of version management strategy.
How to Verify Configuration
- Upload a rehabilitation equipment technical document containing complex tables and diagrams. Confirm that key parameters and diagram descriptions extracted after parsing are complete and accurate.
- Simulate multiple users simultaneously uploading and querying documents. Monitor system response times and database connection pool usage. Ensure stable operation under high concurrency.
- Query an updated rehabilitation equipment maintenance manual. Confirm that the knowledge base returns answers based on the latest version of the content.
- Check the growth trend of vector storage and document metadata storage in the database. Compare it against the actual document volume growth curve to validate storage configuration rationality.
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.