What Data Looks Like for This Category
Data for personal care product investment research comes primarily from official brand test reports, e-commerce platform product detail pages, third-party ingredient databases, and industry association compliance announcements. Updates align with new product launches and raw material regulatory changes. There is no fixed update schedule, but update frequency is high. Most documents contain ingredient lists, efficacy parameters, compliance filing numbers, allergen labels, and usage cycle instructions. Fields include specific content values, batch information, pH values, and similar metrics. Common units are mg/100g, %, days, and other standard units.
Constraints on Knowledge Base Retrieval and Recall
Data sources are scattered and formats are inconsistent. Multi-source field alignment is required to prevent SKU information conflicts during retrieval. Frequently updated SKUs require the retrieval system to support incremental indexing. Without this support, newly launched products cannot be indexed. Fields related to ingredients and compliance have higher precision requirements. Retrieval weights must be configured for these specific fields. Some documents include ingredient charts and usage comparison graphs. Extracting only plain text will lose critical visual association information.
Configuration Guidelines
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
recall count | 8–12 results | Personal care product SKU counts are high, and the number of associated documents per SKU is moderate. Too many recall results increase context processing load. Too few fail to cover core investment research information |
similarity threshold | 0.72–0.78 | Investment research scenarios require precise matching of ingredient and compliance keywords. A threshold that is too low will introduce a large number of irrelevant SKU retrieval results |
chunk length | 800–1000 characters | Single ingredient reports and compliance documents have relatively long lengths. Chunks that are too long will disrupt the contextual logic of ingredient associations. Chunks that are too short will lead to information fragmentation |
incremental update interval | Every 6–12 hours | New product launch frequency is high. An interval that is too short increases system resource consumption. An interval that is too long fails to index the latest SKU documents in a timely manner |
field weight configuration | Set ingredient list field weight to 1.5, compliance statement field weight to 1.2 | Investment research decisions focus primarily on ingredient content and compliance information. Retrieval priority for these fields must be elevated |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some compliance documents include high-definition ingredient chart parsing tasks. Sufficient timeout time is required to avoid parsing failures |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- A model call error occurs after retrieval, with the log displaying the
context window overflowstatus code. This issue is relatively common in local deployment scenarios of version 4.8.14 and above. The root cause is failure to configure parameters based on the chunk length of personal care product documents. Excessively long single document chunks cause the total context to exceed model limits. - The proportion of irrelevant personal care SKUs in retrieval results is too high. The root cause is failure to adjust field weights for ingredient and compliance fields. Using only a global similarity threshold fails to precisely match the core information focused on in investment research.
- Retrieval results do not include explanatory text corresponding to ingredient charts and usage comparison graphs in documents. The root cause is failure to enable image OCR parsing and text association binding. Only plain text content within the document is extracted.
How to Verify Correct Configuration
- Upload one official brand ingredient report. Confirm that parsed chunks match the set
chunk lengthwithout obvious content breaks. - Initiate a query containing specific ingredient keywords. Verify that returned SKU results match the query keywords and that similarity scores fall within the set threshold range.
- Check the running logs of incremental update tasks. Confirm that newly launched SKU documents from the past seven days have been successfully indexed.
- Upload a document containing ingredient charts. Confirm that parsed results include OCR text corresponding to the charts.
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.