What the data for this category looks like
Cosmetics marketing content data for finance, insurance, or wealth management scenarios mainly comes from the brand’s internal product database, compliance filing system, and marketing material library. It must also comply with the content compliance requirements of financial institutions. Regular data updates primarily involve monthly compliance adjustments, with bulk updates triggered when new products launch or promotional activities occur. The structure of a single data entry includes fields such as basic product parameters, efficacy descriptions, compliance statements, and marketing copy. Product parameters include filing numbers, net content units, applicable skin types, and more. The length of marketing copy varies widely, with no fixed format.
What constraints do these characteristics impose on deployment and upgrade
These characteristics impose multiple constraints on the deployment and upgrade process. Cosmetics marketing data for finance, insurance, or wealth management scenarios is scattered across multiple sources, has volatile update cycles, and includes compliance-related identifiers in its fields. It must meet both financial regulatory requirements and cosmetics industry compliance standards. Unified format import is required for multi-source data to avoid field misalignment from different sources. Sudden bulk updates require incremental synchronization mechanisms to reduce resource consumption from full re-imports. Compliance field checks must be embedded in the deployment process to ensure launched content meets regulatory requirements. The varying lengths of marketing copy affect parameter adaptation for vector segmentation and retrieval, requiring targeted configuration adjustments.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Cosmetics marketing materials include long-form marketing copy and compliance documents, which take longer to parse. 600 seconds covers the parsing needs of most large files |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Brand product manuals and compliance filing files may be large in size. 1000 MB meets the file size limit requirements for regular bulk imports |
Chunk size | 800–1200 characters | The length of cosmetics marketing copy varies widely. This range balances context completeness and vector retrieval accuracy |
Similarity threshold | 0.75–0.85 | There are many differences in the wording of cosmetics efficacy descriptions. This threshold filters low-relevance retrieval results while retaining valid matching content |
Recall count | Top 8–10 entries | A single cosmetics marketing content entry has high information density. A small number of retrieval results can cover the core information of user queries |
CSV_FILE_ENCODING | UTF-8 | CSV files containing cosmetics marketing data often include Chinese and special characters. UTF-8 encoding avoids garbled text during import |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Chinese garbled characters appear after importing CSV-format cosmetics marketing data, even though the character encoding has been manually set. Cause: The
CSV_FILE_ENCODINGparameter in FastGPT’s file upload configuration is not specified asUTF-8, or the local CSV file’s actual encoding is GBK and no corresponding adjustment was made. - Phenomenon: After upgrading FastGPT from version 4.9.x to 4.10.x, the original cosmetics knowledge base index cannot trigger vector retrieval, and searches return no results. Cause: Version 4.10 adjusted the underlying storage format of vector indexes, and no index reconstruction or database migration operation was performed.
- Phenomenon: After bulk importing multiple cosmetics compliance documents, some documents fail to parse and time out. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default timeout duration is insufficient to cover the parsing time of long compliance documents.
How to confirm the configuration is properly set
- Upload a test CSV file containing Chinese ingredients and marketing copy, verify no garbled text appears after import, and confirm fields fully match the preset configuration.
- Adjust
Chunk sizeandSimilarity threshold, run a simulated user query, and confirm the number and relevance of retrieval results meet business expectations. - Perform an incremental synchronization test to verify newly added cosmetics marketing materials can be properly displayed and retrieved in the upgraded system.
- Review system logs to confirm no error messages such as file parsing timeouts or database connection exceptions exist, verifying configuration parameters have taken effect.
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.