What Data Looks Like for This Category
Cosmetics financial report analysis data comes from multiple sources: publicly disclosed annual and semi-annual financial reports from brands, segmented category reports from third-party beauty industry research institutions, sales ledgers for beauty categories on e-commerce platforms, and import and export declaration data for beauty categories from customs.
Update cadences vary by data type:
- Brand financial reports are updated quarterly and annually
- Industry reports are updated monthly and quarterly
- E-commerce ledgers are updated daily
Document structures include modules such as revenue breakdown, channel proportion, R&D investment, and compliance filing information. Some sales ledgers and industry reports also include segmented fields like single SKU sales volume and customer unit price.
Fields and their units:
- Revenue and cost are denominated in RMB yuan or ten thousand yuan
- Sales volume is measured in units or cases
- R&D investment is measured in ten thousand yuan
Constraints Imposed on Knowledge Base Retrieval and Recall
Multi-source, heterogeneous data sources require the retrieval link to support unified field mapping across different document formats, to avoid caliber mismatches between beauty data from different sources.
Differentiated update cadences require configuring incremental update strategies triggered by data type, to avoid resource waste from full re-parsing.
The large number of segmented category dimensions requires the recall link to support filtering by category tags such as skincare, makeup, and perfume, to ensure retrieval results align with the target analysis scope.
The strict precision requirement for compliance-related fields requires adjusting the similarity matching threshold, to prevent non-compliant content from being incorrectly recalled.
The wide range of document length spans requires adapting splitting rules for different segment lengths, to maintain information integrity for both long financial reports and short e-commerce ledgers.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Individual cosmetics financial report documents may exceed 50 pages; a longer parsing duration prevents mid-run interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploading multiple industry reports and brand financial reports, adapting to storage needs for multi-source data |
chunk_size | 800–1200 characters | Balances information integrity for long financial report paragraphs and precise matching for short e-commerce ledgers, adapting to the length span of cosmetics data |
recall_top_k | Top 8 entries | Covers analysis needs across multiple segmented dimensions such as skincare and makeup, avoiding information overload from too many recalled items |
similarity_threshold | 0.72–0.78 | Balances matching precision for beauty industry terminology and recall coverage, preventing compliant data from being missed or irrelevant content from being included |
incremental_update_cron | 0 */6 * * * | Adapts to the cadences of daily updated e-commerce data and quarterly updated industry reports, balancing data timeliness and parsing resource consumption |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After uploading a PDF-format brand financial report, the interface does not display parsing progress and completion status, and search tests return empty results. Cause: Parsing status push configuration is not enabled, and segment parameters for long documents are not adapted, leading to no callback being triggered after parsing timeout, and missing segments resulting in no matching content for retrieval.
- Phenomenon: When calling the knowledge base retrieval link in a workflow, the returned context field is empty. Cause: Minimum recall count is not configured, and the similarity threshold is set too high, resulting in eligible retrieval results not being returned.
- Phenomenon: The generated financial report analysis content does not reference uploaded official data, and information inconsistent with actual financial reports appears. Cause: The number of recalled entries is set too low, or the similarity threshold does not match the matching precision of beauty industry terminology, leading to key financial report data not being recalled, and the model generating content relying on general knowledge.
How to Verify Configurations Are Correctly Set
- Upload a test cosmetics financial report document, check if the interface displays parsing progress and completion status, and verify that the parsed segmented content includes target fields.
- Run a search test, input keywords related to financial reports or industry reports, and verify that the number and matching degree of returned results conform to preset configuration rules.
- Add a knowledge base retrieval node to the workflow, input test keywords, and verify that the returned context field contains valid content with no null values returned.
- Compare the generated analysis content with the uploaded original document, confirm that the analysis content references uploaded official data, and no information inconsistent with the original text appears.
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.