Knowledge Base Retrieval and Recall for Medical Device

What this category’s data looks like

Medical device research report data mainly comes from securities firms’ medical industry research reports, public survey documents from medical device industry associations, National Medical Products Administration registration and approval public notices, provincial medical device centralized procurement announcements, and clinical validation data from academic journals. Update schedule: centralized procurement announcements are updated monthly, registration and approval information is updated in real time alongside approval progress, and industry research reports are released weekly or monthly. Each single document includes fields such as product generic name, registration certificate number, applicable clinical departments, core technical parameters, clinical effective rate, price range, policy adaptation requirements, with dedicated units attached to parameters.

What constraints these characteristics impose on the knowledge base retrieval and recall link

Professional parameters and unique identifiers such as registration certificate numbers of medical device research reports require precise matching. Retrieval cannot rely solely on keyword fuzzy matching, and field-level recall support is required. Each single document is lengthy and includes charts. Context association of parameters must be retained during parsing to avoid splitting professional information. Data update frequencies vary, so on-demand index update support is required to prevent old centralized procurement information or approval status from mixing into results. Parameters have dedicated units, so unit formats must be unified during recall to avoid missing results due to unit mismatches.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_CHUNK_SIZE`	`800–1200 characters`	Medical device research reports contain long sections of technical parameters and clinical data. Excessively long segments will lose context association, while excessively short segments will split logical connections between parameters
`PARSE_CHUNK_OVERLAP`	`150–200 characters`	Core technical parameters in research reports often appear across multiple segments. Overlapping segments can retain complete context for parameters
`RECALL_TOP_N`	`Top 10–15 results`	Medical device research reports have high density of professional terminology. Initial recall must cover more relevant documents to avoid missing parameters for specific use cases
`SIMILARITY_THRESHOLD`	`0.75–0.85`	Precise fields such as registration certificate numbers and applicable scenarios of similar products must be distinguished to avoid mixing low-correlation results
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Single medical device research reports often include multi-page charts and tables, resulting in long parsing times
`ENABLE_IMAGE_OCR`	Enabled (supported since V4.2 version)	Research reports often include product parameter charts and registration certificate scans. OCR can extract text information from charts

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 specific analysis, and it is recommended to test on your own samples before finalizing.

Three Common Misconfigurations

Phenomenon: Parameter chart text of medical device research reports in the knowledge base is not correctly indexed, or old chart content is still displayed after update. Cause: The ENABLE_IMAGE_OCR configuration is not enabled, or the document index rebuilding process is not triggered.
Phenomenon: Empty results or 400 Bad Request status code are returned when calling the knowledge base online. Cause: The TEXT_EMBEDDING_MODEL parameter is not configured, or the incoming query text does not match results that meet the SIMILARITY_THRESHOLD requirement.
Phenomenon: Knowledge base interface call times out, returning 504 Gateway Timeout status code. Cause: PARSE_FILE_TIMEOUT_SECONDS is not adjusted to a value suitable for long documents, or a single file exceeds the UPLOAD_FILE_MAX_SIZE limit.

How to Verify Proper Configuration

Upload a single medical device research report containing parameter charts, check if the parsed text blocks include the technical parameters in the charts, and confirm that the ENABLE_IMAGE_OCR configuration is effective.
Initiate a query containing a registration certificate number, verify whether the number of returned results matches the RECALL_TOP_N configuration value.
Upload a single research report with more than 100 pages, check whether the parsing task is completed within the time set by the PARSE_FILE_TIMEOUT_SECONDS configuration.
Call the knowledge base interface with a test query, check whether the similarity score of the returned results falls within the preset SIMILARITY_THRESHOLD range.

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.