What Data for This Category Looks Like
Cosmetics investment research data is sourced primarily from official brand filing public documents, compliance reports from ingredient testing institutions, e-commerce platform product detail pages, and ingredient safety guidelines released by industry associations. Data update cycles fluctuate with new product launches and regulatory policy adjustments, with no fixed schedule. Individual documents include fields such as product filing number, ingredient list, efficacy claim basis, usage contraindications, and compliance labels. Some documents contain multilingual content. Most fields use industry standard names. Fields involving concentration annotations must be read in accordance with official filing regulations.
What Constraints Do These Characteristics Impose on Model Access and Configuration?
The characteristics of cosmetics investment research data create multiple constraints for model access and configuration. Multi-source data with no fixed update cycles requires support for multi-source batch synchronization configuration, plus parsing rules adapted to different document formats. High proportions of professional fields such as ingredient lists and compliance labels require enabling entity recognition with specialized scenario adaptation, to prevent misclassification of non-professional entities. The presence of multilingual documents requires configuring a multilingual model adaptation switch, to ensure consistent parsing of cross-language content. High compliance requirements for filing documents require an additional compliance verification step, to prevent output of prohibited efficacy claims. Large variations in e-commerce product detail page formats require configuring custom parsing rules to adapt to different page structures.
How to Set the Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Cosmetics filing documents have long length; standard durations are insufficient for complete parsing |
maxContext | 8000–12000 characters | Must fully retain long text content such as ingredient lists and compliance statements, to avoid truncation of critical information |
RECALL_TOP_N | Top 8 entries | Must cover ingredient and compliance information for multiple products in the same category, to ensure comprehensive investment research references |
SIMILARITY_THRESHOLD | 0.75–0.85 | Prevents recall of non-professional documents with low relevance, ensuring recalled content closely matches the investment research topic |
UPLOAD_FILE_MAX_SIZE | 200 MB | Some brand filing documents have large file sizes; support for large-capacity file upload parsing is required |
ENABLE_MULTILANG_PARSE | Enabled | Some cosmetics documents include multilingual versions; consistent parsing of cross-language content must be ensured |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- When calling a model, a
500 Internal Server Erroris returned, with logs showingopenai network unreachableoroneapi startup error. The cause is incorrect configuration of the model proxy address, or an interruption in the proxy service, which prevents establishment of a model connection. - After uploading image attachments from cosmetics filing documents, the model cannot parse text or table content within the images. The cause is failure to enable multimodal parsing configuration, or use of a model key that does not support multimodal capabilities.
- After configuring user selection and form input components in a workflow, no interaction prompts appear when accessing the published API channel. The cause is failure to enable the interaction response switch in the workflow's API publishing settings, resulting in the interface only returning preset static content.
How to Confirm Proper Configuration
- Upload a standard cosmetics filing document, verify that the parsed text content fully retains core fields such as filing number and ingredient list, and check that parsing duration matches the configured timeout setting.
- Initiate an investment research query, confirm that the number of recalled documents matches the configured recall count setting, and verify that the relevance of recalled content to the query topic meets the preset threshold.
- Upload a cosmetics document containing multilingual content, confirm that content in all language versions can be correctly identified and processed.
- Trigger the model call flow, check that the system logs show no network connection errors, confirming that the model service connection is operational.
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.