Data Characteristics of This Category
Medical device investment research data mainly comes from the National Medical Products Administration Medical Device Registration Database, public clinical trial platforms, industry standard working group documents, and product manuals and technical white papers publicly released by manufacturers. Data update rhythms adjust with registration certificate changes, release of new version standards, and advancement of clinical trial stages. There is no fixed weekly or monthly update cycle.
Document structures include fields such as product model, registration certificate number, applicable department, performance parameters, contraindications, and manufacturer information. Units cover professional measurement identifiers including millimeters (mm), Pascals (Pa), kilovolts (kV), and others. The length of individual documents varies widely. The recommended relevant length range should be determined based on statistics or actual measurement of your own samples.
Constraints on Retrieval and Recall Processes
Retrieval links must support cross-platform data integration to handle multiple scattered data sources. Configure multi-data source synchronization rules.
Retrieval must support precise field matching and unit normalization to handle professional fields and special units. This prevents recall failures caused by differences in unit expressions.
Implement a segmentation strategy adapted to documents of varying lengths to handle the wide span of document lengths. This avoids losing professional context associations from overly long segments, or damaging logical integrity from overly short segments.
The recall link must distinguish document versions to handle the lack of a fixed update rhythm. Prioritize returning the latest versions of registration and technical information to avoid use of expired data for investment research.
Configuration Recommendations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
segmentation_length | 800–1200 characters | Medical device professional documents have high information density. Overly long segments will split the association between parameters and applicable scenarios, while overly short segments cannot carry complete technical descriptions |
similarity_threshold | 0.72–0.85 | Professional terms have differences in abbreviations, full names, and industry common names. This range balances precise matching and recall coverage, to avoid missing highly relevant niche parameter documents |
recall_count | Top 8–12 results | Investment research scenarios require covering multi-dimensional information such as product performance, registration status, and clinical data. Too many recalled results will increase the context processing load, while too few will not support complete investment research judgments |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large registration certificate attachments and multi-chapter clinical trial reports takes a long time. The default timeout duration cannot complete full parsing |
rerank_top_n | Top 4–6 results | Prioritize displaying core registration information and performance parameters, adapting to the needs of investment research personnel to quickly access core content |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports full import of large clinical trial datasets and multi-language product manuals, adapting to the storage needs of full-link investment research data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Retrieval API calls return empty results. This occurs when professional term synonym mapping is not configured. Medical device terms have differences between abbreviations and full names, leading to failure to match corresponding documents.
- Knowledge base original document links fail to load. This occurs when nginx proxy rules are not correctly configured, and the knowledge base static resource path is not included in the proxy scope, making original files inaccessible.
- curl requests for the knowledge base file list return an empty array. This occurs when correct API authentication header information is not included, or the request path does not match the interface endpoint of the corresponding knowledge base.
How to Verify Proper Configuration
- Upload a medical device product manual, trigger parsing, and check the segmentation results to confirm that the segmentation length falls within the configured range.
- Enter a professional search term such as "medical CT tube rated voltage" and verify that the similarity scores of the recalled results fall within the configured threshold range.
- Call the file list interface to confirm that the returned knowledge base file names match the actually uploaded medical device documents.
- Configure an incremental update task, manually trigger the update, and check that only newly added or modified documents are synchronized.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.