What the data for this category looks like
Data for medical aesthetics research reports comes primarily from public industry association reports, monitoring data from third-party medical aesthetics data agencies, quarterly financial reports of listed medical aesthetics companies, and new product technical documents from medical aesthetics equipment manufacturers. There is no fixed update cycle. Industry association reports are updated quarterly or semi-annually. Corporate financial reports are updated at their disclosure timelines. Manufacturer documents are updated alongside new product launches. Document structures typically include industry overviews, market analysis for subcategories such as hyaluronic acid and botulinum toxin, product filing information, institutional compliance rates, single treatment unit prices, treatment cycles, and other fields. Field units include yuan per treatment, weeks, months, and others. Filing numbers use alphanumeric combination formats.
Constraints on multi-turn dialogue and prompting
Medical aesthetics research reports have numerous specialized fields and involve compliance requirements. Multi-turn dialogue requires precise alignment of specialized fields such as filing numbers and compliance rates, to avoid confusion between unit price data for different categories. Data updates have no fixed cycle. Prompts must explicitly require priority use of newly uploaded research report data, and must not rely on outdated information. Individual research report texts are lengthy. Multi-turn dialogue contexts must be truncated appropriately, to avoid excessive historical content diluting key information. Medical aesthetics consultations often involve continuous follow-ups on treatment courses, prices, and compliance. A balance must be struck between context retention length and information accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Individual medical aesthetics research reports often exceed 3000 characters. Multi-turn dialogue requires retention of 3 or more rounds of context, to avoid truncation of key compliance or data fields |
recallTopK | Top 6–8 results | Medical aesthetics research reports have many specialized subfields. Excessive recall introduces irrelevant data, while insufficient recall fails to cover specialized scenario needs |
contextWindowClearThreshold | 10–12 rounds | Medical aesthetics consultations often involve continuous follow-ups on treatment courses, prices, and compliance. Excessive historical content dilutes key information |
promptTemplate | Fixed inclusion of "Must prioritize the latest medical industry data in the current knowledge base, must not recommend unfiled products, all prices must include units" | Medical aesthetics data has no fixed update rhythm and involves compliance requirements, so explicit constraints must be included in the prompt |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Individual medical aesthetics research reports often contain multiple detailed tables. Parsing takes a long time, to avoid parsing failure due to timeout |
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 on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After more than 10 rounds of multi-turn dialogue, the returned medical aesthetics data becomes inaccurate. Responses are accurate after opening a new conversation. Cause: The
contextWindowClearThresholdparameter is not configured. Excessively long historical dialogue dilutes precise medical aesthetics research report data from the knowledge base. - Phenomenon: The medical institution compliance rate field returned after calling the knowledge base is empty, with key information missing from the displayed results. Cause: The
recallTopKparameter is set too low, failing to cover research report documents that include the compliance rate field. - Phenomenon: After executing an SQL query in a workflow, the results cannot be synchronized to the conversation dialog box. Cause: The workflow's context binding parameter is not configured, and the SQL return result is not written to the
chat_historyfield.
How to Verify Proper Configuration
- Initiate 3 or more consecutive medical aesthetics-related follow-up questions, and verify that the response includes the required latest research report data with no compliance errors.
- Adjust the
recallTopKparameter, then test queries across different specialized scenarios, and confirm that the returned results have field completeness that meets requirements. - Trigger the context window clear threshold condition, and verify that the conversation history is automatically cleared.
- Upload a test medical aesthetics research report that includes detailed tables, and confirm that no timeout errors occur during the parsing process.
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.