What the Data for This Category Looks Like
Cosmetic research report data primarily comes from official brand R&D documents, public reports from third-party beauty industry consulting agencies, compliance filing documents from ingredient testing institutions, and user feedback data from e-commerce platforms. Update frequency fluctuates with new product launch cycles. Regular monthly updates occur under normal conditions, with dense new content added during new product seasons. Document structures include fields such as ingredient lists marked with added concentration, efficacy test data, compliance filing numbers, and applicable skin type classifications. Some long documents include multi-chapter comparison tables and aggregated user review content.
Constraints on Deployment and Upgrade
The characteristics of cosmetic research reports impose multiple constraints on deployment and upgrade workflows. Fields such as ingredient concentrations and filing numbers require precise format retention. Custom parsing rules must be configured during deployment to avoid field truncation or format loss. Update schedules are not fixed. High-frequency data synchronization is required during new product seasons, so incremental pull tasks must be deployed to avoid excessive resource usage from full pulls. Upgrades must be compatible with older parsing templates to prevent retrieval errors caused by inconsistent data formats between new and old versions. Additionally, documents include multi-dimensional comparison tables. The vector storage chunking strategy must be adjusted to preserve contextual associations and avoid loss of key related information during retrieval.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Cosmetic research reports often contain long tables and ingredient data, with longer parsing times than general documents |
UPLOAD_FILE_MAX_SIZE | 200–500 MB | Single industry research reports may include multi-chapter attachments, requiring support for larger file uploads |
maxContext | 12000–15000 characters | Research report content has high density, requiring sufficient context to associate ingredient and efficacy information |
Recall count | Top 8–12 results | Cosmetic research reports have multiple detailed dimensions, requiring sufficient retrieved entries to cover different efficacy and ingredient dimensions |
Similarity threshold | 0.75–0.85 | Matching associations between ingredients and efficacy requires high precision to avoid including irrelevant results |
MAX_WORKERS | 8–12 | Adapts to the concurrent processing needs of cosmetic research report retrieval, balancing resource usage and response speed |
The parameter values provided on this page are general recommendations for establishing configuration baselines. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Scenario: After an unexpected power restart during a Docker deployment, PostgreSQL or MongoDB containers fail to start. Logs show connection refused errors. Cause: Container auto-restart policies are not configured, and dependent services do not start automatically with the host.
- Scenario: After upgrading to version 4.9, executing the upgrade initialization interface returns an HTML page instead of a success prompt. Cause: The upgrade interface is not configured to bypass front-end routing, or container port mapping conflicts cause requests to be intercepted by front-end pages.
- Scenario: When more than 7 users submit questions simultaneously, remaining requests remain in a loading state with no response. Cause: The
MAX_WORKERSparameter is not adjusted to a value suitable for concurrent scenarios, or request queue rate limiting rules are not configured.
How to Verify Correct Configuration
- Run the
docker pscommand to confirm that FastGPT, PostgreSQL, and MongoDB containers are running, and that therestart: alwaysparameter is set. - Upload a cosmetic research report attachment and check if parsing results fully retain custom fields such as ingredient concentrations and filing numbers.
- Initiate multiple concurrent test requests to confirm that no requests remain in a loading state for extended periods, and that returned results include matching research report content.
- Call the upgrade initialization interface to confirm that the returned format is a JSON-formatted success prompt, with no HTML page returned.
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.