What this category’s data looks like
Medical device due diligence data primarily comes from publicly available registration and filing documents from national regulatory authorities, compliance documents submitted by manufacturers, clinical validation reports, and technical parameter manuals. Regulatory requirements and product iterations drive adjustments to data update cycles. Most documents are multi-page PDFs, containing structured parameter tables, long-form compliance explanations, and accompanying schematic diagrams. Fields include product registration certificate numbers, model specifications, scope of application, technical indicators, and manufacturer information. Units use specialized medical domain units such as millimeters, kilovolts, and clinical treatment units.
What constraints these characteristics impose on knowledge base retrieval and recall
The multi-format nature of medical device data requires retrieval systems to support parsing and structured extraction of diverse documents, preventing loss of professional parameter information due to format incompatibility. A high share of long-form compliance documents can cause single-recall context length to exceed model processing limits, so the length and number of recalled segments must be limited. High professional terminology density requires prioritizing results that match precise terms, avoiding generalized recall that interferes with due diligence judgments. Some documents include high-definition technical drawings and clinical charts, so a mechanism for synchronizing and displaying associated image resources must be configured. Irregular regulatory update cycles require configuring a regular synchronization mechanism to ensure the timeliness of recalled data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Medical device documents are mostly multi-page compliance PDFs, with longer parsing times than general documents. The default 60-second timeout cannot complete full parsing |
maxContext | 800–1200 characters | Balances context completeness for professional long-form medical device text and model input length limits |
Recall Count | Top 3–5 results | Precise matching is required for professional retrieval. Excessive recall will introduce irrelevant non-core compliance content |
Similarity Threshold | 0.75–0.85 | The high density of professional terminology in medical devices requires a high similarity threshold to filter low-match non-professional results |
UPLOAD_FILE_MAX_SIZE | 500 MB | Some medical device registration certificate documents include high-definition scanned drawings, so large file upload support is required |
Reranked Return Count | Top 2–3 results | Due diligence scenarios require prioritizing the most relevant core compliance and parameter information |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- When deleting a folder containing a large number of medical device compliance documents in the knowledge base, a
timeout of 60000ms exceedederror is returned. The cause is that thePARSE_FILE_TIMEOUT_SECONDSconfiguration was not adjusted. The default timeout period is insufficient to complete the batch large document cleanup process. - Some device schematic diagrams and clinical charts in medical device documents cannot be displayed normally in the question-and-answer interface. The cause is that associated recall and path mapping for image resources were not configured. Only text content was extracted, and accessible links for images were not synchronized.
- Precise medical device registration certificate number fields are not matched in retrieval results. The cause is that precise recall configuration for structured fields was not enabled, and only full-text retrieval mode was used.
How to Confirm the Configuration Is Correct
- Upload a medical device document containing professional technical drawings, check that the parsing status shows completed, with no parsing failure logs.
- Initiate a query containing medical device professional terminology, verify whether the number and relevance of recall results meet the expected configuration.
- Test batch deletion of a batch of medical device document folders, confirm that no timeout-related errors occur.
- Initiate a query containing image-related descriptions, confirm that the recalled results include corresponding image resource information.
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.