What Data for This Category Looks Like
Medical aesthetics research report data comes primarily from public industry association reports, monthly monitoring reports from third-party medical aesthetics data institutions, compliance disclosure documents from listed medical aesthetics enterprises, and professional medical aesthetics journals. Update frequency adjusts based on industry trends. Policy content is updated irregularly. Market data for segmented categories is updated monthly. In-depth industry research reports are released quarterly. Document structures typically include industry overview, segmented category analysis, compliance requirements, typical cases, and trend forecasts. Core fields include project name, consumable filing number, single treatment unit price, user satisfaction score, and compliance status. Corresponding units are yuan per treatment, 1-5 scores, alphanumeric combination codes, and similar formats.
Constraints for Knowledge Base Retrieval and Reranking
The multi-source nature and non-fixed update schedule of medical aesthetics research reports require support for incremental updates and multi-source data aggregation. Structured fields require support for both vector semantic retrieval and structured filtering, to avoid mixing unrelated category content. Dense professional terminology requires retrieval models to adapt to segmented domain semantics. Long-form documents require proper chunking to preserve contextual connections. Clear boundaries between different segmented categories require filtering reranked results by category dimension, to improve retrieval accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Medical aesthetics research reports contain professional terminology and long paragraphs. Excessively long chunks lose contextual connections. Excessively short chunks damage the integrity of professional expressions |
| Number of Retrieved Results | Top 8–12 results | There are many segmented categories in medical aesthetics research reports. Too many retrieved results introduce unrelated content. Too few fail to cover complete information for segmented scenarios |
| Similarity Threshold | 0.72–0.8 | Semantic similarity differentiation for medical aesthetics professional terminology is high. A threshold that is too low introduces unrelated results. A threshold that is too high misses relevant segmented category content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single medical aesthetics research report has a long length. Parsing time is longer than general documents. Default timeout limits trigger parsing failures easily |
| Structured Extraction Fields | ["project name", "consumable filing number", "single treatment unit price", "compliance status"] | Core retrieval needs for medical aesthetics research reports revolve around projects, compliance, and pricing. Extracted structured fields support precise filtering |
maxContext | 4000–6000 characters | Cross-paragraph professional logical connections in research reports must be preserved. Contextual breaks affect retrieval accuracy |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Semantic search returns unrelated industry research report content not related to medical aesthetics. Cause: The similarity threshold has not been adjusted for medical aesthetics professional terminology, or structured field filtering rules have not been enabled.
- Symptom: After importing medical aesthetics research reports or related business data, core fields such as single treatment unit price and consumable filing number are not correctly extracted. Cause: Structured extraction or data source association rules have not been configured, and field matching logic does not cover target content formats.
- Symptom: Knowledge base update tasks trigger timeout errors. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter has not been adjusted, and parsing time for a single medical aesthetics research report exceeds default limits.
How to Verify Proper Configuration
- Upload a single medical aesthetics research report. Check if parsed structured fields include preset content such as project name and compliance status. Confirm extraction rules are active.
- Enter a query containing segmented category keywords. Check if retrieved results only cover target medical aesthetics categories. Confirm structured filtering configuration is active.
- Adjust the similarity threshold. Test changes in the number of retrieved results for the same query. Confirm parameter impact on retrieval matches expectations.
- Run an incremental update task. Check if task logs have no timeout or parsing failure prompts. Confirm timeout parameter configuration is reasonable.
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.