What the data for this category looks like
Data sources for medical device investment research include National Medical Products Administration registration certificate public information, manufacturers’ public clinical study reports, centralized procurement winning bid announcements, professional medical journal articles, and equipment operation logs. Data updates have no fixed schedule. Concentrated updates occur when registration certificates are updated or centralized procurement batches are released. Academic articles are added in real time as research progresses.
Document types include structured parameter tables and unstructured PDF/WORD reports. Fields include registration certificate numbers, manufacturing enterprises, applicable departments, technical parameters such as imaging resolution and radiation dose, clinical indications, and adverse event records. Units involve professional metrological identifiers such as mm, Gy, units, and batch numbers. The length of a single complete document varies widely.
What constraints do these characteristics impose on database and operations workflows
Multi-source heterogeneous data structures require databases to support mixed storage of structured tables and unstructured vectors, to avoid precision loss from data format conversion. Batch updates without fixed schedules require configuring incremental synchronization mechanisms to reduce the load pressure of full synchronization on databases. Specialized fields and units require adding custom validation rules to ensure the format compliance of imported data.
The combination of long documents and dense specialized terminology requires the parsing and splitting process to retain contextual associations, to avoid losing key information in index fragments. At the same time, the traceability requirements for clinical-related data require the operations workflow to retain complete data write and modification logs.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Medical device documents include dozens of pages of clinical study reports. Parsing takes significantly longer than general documents, so sufficient parsing time must be reserved |
UPLOAD_FILE_MAX_SIZE | 800 MB | Some manufacturers provide full sets of registration certificate materials that can reach hundreds of megabytes per file. The single-file upload limit must be adjusted to support complete material imports |
Segment Length | 1000–1200 characters | Medical device terminology is dense. Too long segments will lose contextual associations, while too short segments will increase indexing redundancy |
RECALL_TOP_N | Top 8 results | Investment research requires covering multi-dimensional information such as clinical, centralized procurement, and registration. Too few recalled results will miss critical data |
SIMILARITY_THRESHOLD | 0.75–0.85 | Matching accuracy for specialized terminology is high. A threshold that is too low will introduce irrelevant medical device category data |
DB_INCREMENT_SYNC_INTERVAL | Every 12 hours | Updates to registration certificate and centralized procurement information have no fixed schedule. Incremental synchronization balances real-time performance and database load |
The parameter values provided on this page are all conventional recommendations, used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- The symptom is an
Invalid array lengtherror when selecting question answering splitting. The cause is that line breaks in specialized tables are not handled correctly when splitting medical device documents, resulting in empty elements in the split segment array. - The symptom is that the knowledge base index cannot be created after deploying a PG database. The cause is that the
PG_VECTOR_MAX_CONNECTIONSparameter was not adjusted to adapt to the host's 8c16G resource configuration, and the parallel build switch for vector indexes was not enabled. - The symptom is that the knowledge base cannot load normally after backup and recovery. The cause is that only project files were restored, and the index data of the vector database was not synchronized and restored, resulting in a mismatch between metadata and vector data.
How to Confirm Configuration is Complete
- Upload a single medical device registration certificate material larger than 500 MB, check that the parsing task completes within the time set by
PARSE_FILE_TIMEOUT_SECONDS, with no timeout errors. - Manually trigger an incremental synchronization, check that only write records for new data appear in the database logs, with no redundant full synchronization logs.
- Perform a vector recall test, input "CT device resolution parameters", check that the similarity of all returned results falls within the interval set by
SIMILARITY_THRESHOLD, and the number of results matches theRECALL_TOP_Nconfiguration. - Attempt to roll back to a historical backup node, check that both the knowledge base metadata and vector data load normally, with no missing fields or index abnormalities.
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.