What the data for this category looks like
Personal care product investment research data mainly comes from brand official quality inspection reports, industry association sampling announcement results, e-commerce platform product detail parameters, and upstream raw material supplier test documents. The update rhythm adjusts with new product launches. Regular ingredients and specification parameters are updated quarterly. Promotions and compliance statements are synced in real time. A single document includes fields such as SKU code, ingredient list, compliance label, efficacy claim, packaging specification, and raw material traceability code. Net content uses milliliter or gram as the unit. Raw material batch numbers use string format. Compliance statements must match fixed wording required by regulations.
What constraints these characteristics impose on model access and configuration
The need for precise matching between SKU codes and raw material traceability codes requires the model recall link to support field-level precise matching. This prevents generalized recall from causing investment research data deviation. The requirement for fixed compliance statement wording requires increasing the similarity threshold to filter matching results that do not meet regulatory formats. Format differences across multiple data sources require configuring field standardization rules in the data preprocessing link. This unifies the parsing formats of net content and ingredient lists. Real-time updated promotion and compliance information requires configuring an incremental sync trigger mechanism during model access. This avoids resource occupation from full data pulls.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarityThreshold | 0.75–0.85 | Compliance statements for personal care products must strictly match regulatory formats. A higher threshold filters recall results with incorrect formats, while covering semantic matching needs for ingredient lists. |
recallTopK | Top 8–12 entries | Single personal care research document includes multi-dimensional fields. A larger number of recalled entries covers multi-category data needs including SKU, ingredients, and compliance. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Quality inspection report documents usually contain multi-page ingredient test data. A longer timeout ensures complete parsing. |
UPLOAD_FILE_MAX_SIZE | 100 MB | Single raw material supplier test document may contain batch test data. Setting a reasonable upper limit prevents large file upload failures. |
rerankTopN | Top 3–5 entries | Personal care research focuses on core parameters. Retaining a small number of highly relevant entries after reranking improves the accuracy of model outputs. |
enableFieldMatch | Enabled | Supports precise field matching for SKU codes and traceability codes, preventing data misalignment caused by generalized recall. |
The parameter values provided on this page are all common recommendations used as a starting point for configuration. 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 errors
- Symptom: The model call returns the
do_request_failederror, with an interface return status code of 404. Cause: The model access address was not configured correctly, or the address contains extra spaces and escape characters. - Symptom: After uploading a quality inspection report, the parsing result is empty, and core fields such as ingredient lists and SKU codes are missing. Cause: Field standardization rules were not configured, and the parsing formats of multi-source data were not unified.
- Symptom: The recall results contain a large number of irrelevant promotion information, and core parameters required for investment research are not matched. Cause: The similarity threshold was set too low, and generalized recall retrieved content from non-target fields.
How to verify a complete configuration
- Manually upload a brand official quality inspection report, and confirm that parsed fields cover preset core investment research fields.
- Initiate an investment research query, and verify that the number of recall results matches the configured recall parameter values.
- Trigger an incremental sync task, and check that real-time updated compliance or promotion information is successfully synced to the knowledge base.
- Test the field matching function, enter a specified SKU code, and confirm that only investment research data for the corresponding SKU is recalled.
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.