What the data for this category looks like
Medical beauty industry track research report data mainly comes from public reports of industry associations, third-party medical beauty compliance monitoring institutions, regular disclosure documents of listed medical beauty enterprises, and public research documents from professional medical beauty consulting institutions. Update cycles are primarily quarterly and semi-annual. Monthly monitoring reports for some subdivision projects are updated monthly. Document structures typically include modules such as regional market distribution, proportion of compliant institutions, price ranges of popular projects, and interpretation of regulatory policies. Fields include "Institution Registration Number", "Project Compliance Qualification Level", "Average Price of Single-Course Service", "Monthly Newly Added Institutions". Corresponding units are no unit, level label, yuan, and establishment respectively.
What constraints do these characteristics impose on the citation source and traceability link?
The multi-source nature of medical beauty research reports requires traceability systems to distinguish content identifiers with different authority levels. This prevents confusion between regulatory official documents and commercial consulting general documents. Differences in update frequencies require flexible synchronization rules. These rules adapt to the different update cycles of monthly subdivision project monitoring reports and quarterly overall industry reports. Exclusive fields in documents such as institution registration number and compliance qualification level must serve as core traceability identifiers. Do not rely solely on general file names or upload times. Additionally, the multi-module structure of research reports requires marking specific chapter positions during traceability. This ensures cited content can be accurately located to the corresponding part of the original document.
How to set the configurations
| Configuration Item | Recommended Value | Rationale | ||
|---|---|---|---|---|
Recall Count | Top 8–12 entries | Medical beauty research reports have relatively long single content. Too many recalled entries will cause context redundancy. Too few will fail to cover key data of subdivision tracks. Calibrated based on actual test scenarios. | ||
Similarity Threshold | 0.72–0.80 | Medical beauty research reports contain many subdivision terms. A threshold that is too low will introduce irrelevant industry general documents. A threshold that is too high will fail to recall accurate subdivision project data. | ||
Citation Source Format | `[{source_title} | {fieldname}: {fieldvalue} | Publish Time: {publish_time}]` | Matches the exclusive fields of medical beauty research reports. Retains key traceable information such as registration numbers and qualification levels. |
Document Segmentation Granularity | 800–1200 characters | Medical beauty research reports contain multi-module content. Segmentation that is too long will make recalled fragments unable to locate specific chapters. Segmentation that is too short will destroy the integrity of professional terms. | ||
Incremental Synchronization Interval | 1 day | Some monthly updated subdivision reports require timely synchronization. This also avoids resource occupation caused by frequent calls to external interfaces. | ||
Traceability Field Whitelist | Institution Registration Number, Project Compliance Qualification Level, Publish Time | Only retains exclusive traceable fields of medical beauty research reports. Prevents redundant information from appearing in citation identifiers. |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: When calling the knowledge base tool in a workflow, the returned result does not carry the configured citation identifier. Cause: The mandatory citation switch is not enabled in the knowledge base configuration, or the
Citation Source Formatparameter is not set correctly. - Phenomenon: Garbled citation markers appear in the AI output content, which are automatically replaced with ordinary quotation marks afterward. Cause: Unescaped special characters are used in the
Citation Source Format, or format conflict characters from the original document are retained during document parsing. - Phenomenon: When the query does not match any knowledge base content, the citation identifier of the knowledge base document is still returned. Cause: The
Disable Citation When No Matchparameter is not configured, or the parameter is not set to enabled.
How to Confirm the Configuration Is Correct
- Upload a test medical beauty research report document, initiate a query that includes explicit fields from the document, and verify whether the citation identifier in the returned result includes the preset exclusive fields.
- Initiate a query that does not match any knowledge base content, and verify whether the returned result does not carry any knowledge base citation identifier.
- View the knowledge base synchronization logs to confirm that the incremental synchronization task is executed according to the configured interval, with no abnormal errors.
- Adjust the
Similarity Thresholdand initiate a test query, and verify whether the number of recalled documents conforms to the expected configuration 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.