What the Data for This Category Looks Like
Data for personal care product research reports comes primarily from industry association public reports, third-party consulting firm market analysis documents, brand-published R&D and compliance documents, and e-commerce platform sales and user review analysis documents. Different content types follow distinct update schedules: industry research reports are updated quarterly or semi-annually, new brand product research reports are updated in real time when new products launch, and e-commerce analysis documents are updated monthly. Document structures typically include fields such as product ingredient details, efficacy verification data, compliance test reports, competitor benchmark parameters, and regional sales data, with units including mg/g, number of tests, ten thousand yuan, and other specialized category-specific units.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
The multi-source nature of personal care research reports requires retrieval systems to support cross-data source deduplication and priority sorting, to avoid duplicate recall of the same brand’s repeated content. Different update rhythms require flexible incremental update mechanisms to distinguish between high-frequency updated new product documents and low-frequency updated industry research reports. Professional ingredient and compliance fields in documents require retrieval systems to support targeted field recall, ensuring queries prioritize content strongly related to the personal care category. Long-text test reports and sales analysis paragraphs require retaining sufficient context length during retrieval to avoid truncation of critical information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1024 MB | Personal care research reports often include multi-page test reports and long-text sales data, so the single-file limit must be higher than that for general categories |
maxContext | 1200–1500 characters | Ingredient analysis and efficacy verification sections in personal care research reports are lengthy, so sufficient context must be retained to avoid truncating core information |
retrieved_result_count | Top 8 results | Queries related to competitor benchmarking and ingredient comparison for the personal care category require a sufficient number of candidate results to cover niche scenarios |
similarity_threshold | 0.72–0.78 | Personal care research reports contain a large number of professional terms, so balance must be struck between precision and recall coverage |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing long documents takes longer, so avoid interrupting the parsing process due to default timeouts |
incremental_update_trigger_interval | Every 7 days | Balances the low-frequency update needs of industry research reports and the high-frequency update needs of brand new product research reports, while reasonably controlling resource usage |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: An
insufficient_quotaerror is returned during calls, indicating upstream load has reached saturation. Cause: Retrieval count and context length were not adjusted for personal care research reports, leading to single-request token consumption exceeding group quotas. - Phenomenon: Returned answers do not match knowledge base content, and personal care ingredients or compliance-related content are not retrieved. Cause: Targeted field recall was not configured for personal care research reports, and only general semantic recall was used, making it impossible to accurately distinguish exclusive keywords for the personal care category.
- Phenomenon: Timeout errors occur during knowledge base parsing. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and long test report documents cannot complete parsing within the default timeout period.
How to Confirm Proper Configuration
- Upload a typical personal care research report document containing an ingredient list and test reports, check that the parsed fields fully extract ingredients, efficacy and compliance items, and confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration does not trigger a timeout. - Initiate a query including "comparison of ingredients for a certain body wash", verify whether the number of returned results matches the preset retrievedresultcount configuration, and confirm that the retrieval logic is working.
- View the knowledge base incremental update logs, confirm whether newly uploaded brand new product research reports are automatically synchronized at the preset interval, and verify the correctness of the incremental update configuration.
- Simulate a single query with high token consumption, check whether an
insufficient_quotaerror is triggered, and confirm that the current configuration adapts to the group’s quota and resource limits.
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.