What the Data for This Category Looks Like
Cosmetic research report data sources include public industry research reports, official brand disclosure documents, public compliance filing information, and field test data from beauty vertical platforms. Updates follow the timeline of new product launches, industry compliance updates, and quarterly industry review releases. Single documents typically include core product parameters, ingredient details, efficacy descriptions, compliance filing numbers, and sales channel information. Fields covered include product name, filing number, ingredient list, applicable skin type, price range, and release date. Pricing uses yuan as the unit, and filing numbers serve as standard compliance identifiers.
Constraints Imposed on Knowledge Base Retrieval and Recall
The fragmented ingredient details in cosmetic research reports require support for multi-keyword combination matching during retrieval to avoid irrelevant recall results. The unique nature of filing numbers requires exact matching in the recall phase to locate complete reports for specific products. The numerical price range attribute requires retrieval support for range queries to meet user needs for price-based filtering. The unstable update frequency requires flexible adjustment of the index refresh cycle to avoid outdated information. Documents contain compliance-related content, so paragraphs with prohibited claims must be filtered during recall to ensure output aligns with industry regulations.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
PARSE_CHUNK_SIZE | 800–1200 characters | Cosmetic research reports have detailed, fragmented ingredient information. This segment length preserves the semantic integrity of ingredient groups, avoiding damage to keyword matching accuracy from improper splitting |
RECALL_TOP_K | Top 10–15 results | Cosmetic research reports have high product relevance. Too many recall results increase context processing load, while too few fail to cover relevant product information |
SIMILARITY_THRESHOLD | 0.75–0.85 | High precision is required for cosmetic keyword matching. This threshold balances recall relevance and coverage, avoiding irrelevant content or missed valid information |
INDEX_REFRESH_INTERVAL | 7–14 days | Cosmetic research report update frequency fluctuates with new product cycles. This range balances index timeliness and system resource consumption |
UPLOAD_FILE_MAX_SIZE | 200 MB | Single cosmetic research report documents typically contain data for multiple brands and products. This size accommodates complete batch documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Batch parsing of large research report documents requires sufficient time for tokenization and index construction, avoiding task termination from mid-process timeouts |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Mistakes to Avoid
- Symptom: Index build tasks return "index creation failed" errors, or the interface displays abnormal index status. Cause:
PARSE_CHUNK_SIZEis not adjusted to fit the fragmented ingredient fields in cosmetic research reports, leading to semantic breaks during tokenization that trigger index verification failure. - Symptom: Retrieval API calls return empty results, or the interface shows no matching research report content. Cause:
SIMILARITY_THRESHOLDis not set to a reasonable range, or keyword exact matching mode is not enabled, resulting in failure to match user-queried ingredients or product names. - Symptom: Knowledge base original document links fail to load properly after nginx proxy, returning 404 status codes. Cause: The local storage path of knowledge base original documents is not configured in proxy rules, causing links in retrieval results to fail correct parsing and redirection.
How to Verify Correct Configuration
- Upload a single cosmetic research report document, review the parsed segmented content to confirm that ingredient details are not overly split.
- Enter a known cosmetic ingredient keyword, perform a retrieval, and verify that the matching accuracy of recall results meets expectations.
- View the index refresh log to confirm that the index update cycle matches the preset configuration.
- Access the original document links in retrieval results to confirm that they can be properly redirected to the corresponding documents after proxy.
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.