What the Data for This Category Looks Like
Medical beauty investment research data is primarily sourced from public medical device registration certificate documents, public practice qualification notices for medical beauty institutions, project survey materials released by industry associations, and summarized public consumer feedback. The update rhythm varies across data types: medical device compliance qualifications are updated regularly per regulatory requirements; newly approved medical beauty project documents are added as approval proceeds; regional market survey data is released quarterly. Document structures include three categories: single-project technical parameters, compliance clauses, and charging standards. Fields include project name, compliance qualification number, applicable skin type, single-time cost range, and maintenance period. Units include milliliter, year, yuan, and others.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
Medical beauty investment research data contains a large number of specialized subdivision terms, such as cross-linked hyaluronic acid, botulinum toxin type A subtypes, and others. Retrieval must accurately match semantic associations. The update rhythm of different document types varies greatly. Newly approved projects must be quickly added to the index, while old qualification documents require regular refreshes. Documents include precise fields with units, such as "single-time cost range (yuan)". Recall operations must retain the integrity of fields and their units. Some compliance documents are lengthy. Segmented retrieval must avoid breaking the contextual association of professional terms.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8-12 results | Medical beauty investment research requires coverage of multi-dimensional project information. Too many results will interfere with retrieval judgment, while too few will miss key compliance content |
Similarity Threshold | 0.72-0.85 | Medical beauty professional terms have high semantic similarity. A threshold that is too low will introduce irrelevant results, while a threshold that is too high will miss documents with similar compliance requirements |
Segment Length | 800-1200 characters | Medical beauty documents contain long sections of compliance descriptions and technical parameters. Segments that are too long will lose contextual association, while segments that are too short will damage the integrity of professional terms |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some large medical device registration certificate documents are lengthy, and their parsing time exceeds the default threshold |
Rerank Return Count | Top 5 results | The most matching compliance qualifications and core project information must be prioritized for display, to avoid secondary content interfering with core retrieval goals |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test against the reader's own samples before finalizing values.
Three Common Mistakes
- Symptom: Embedded local images in uploaded Markdown files fail to load in the knowledge base, displaying broken links. Cause: Image resources were not uploaded to the platform storage directory when the knowledge base was created. Only local relative paths were retained, and resource migration was not completed.
- Symptom: The retrieval configuration page only allows selection of the default text understanding model, and custom models cannot be added. Cause: Custom models were not registered and connected in the system configuration page. Adding them only in the task configuration page is not sufficient.
- Symptom: Some custom fields are not correctly extracted after the knowledge base index is created. Cause: The field extraction switch during document parsing was not enabled, or matching rules for the corresponding fields were not configured.
How to Verify Proper Configuration
- A test document containing compliance qualification numbers, project parameters, and embedded images may be uploaded. Confirm that images display correctly and that fields retain their original format and units.
- A search query including professional medical beauty terms may be submitted. Confirm that recall results include core content from corresponding documents, and that result sorting follows preset priority.
- An index refresh may be manually triggered. Confirm that newly updated documents are included in the retrieval scope within a reasonable time frame.
- Retrieval logs may be reviewed. Confirm that similarity scores of returned results fall within the configured threshold interval.
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.