What the data for this category looks like
Cosmetics financial report data comes from periodic reports of listed companies in the category, publicly available industry monitoring databases, and public business announcements of brands. Update frequency follows regulatory requirements: periodic reports are released quarterly, semi-annually, and annually. Temporary announcements are updated alongside major business actions. The core document structure includes modules such as product category revenue details in consolidated income statement notes, online and offline channel revenue proportions, R&D investment details, and marketing expense structure. Covered fields include product category, revenue amount, sales quantity, and gross profit margin, with units of RMB yuan and units sold.
What constraints these characteristics impose on multi-turn dialogue and prompting
Product classification dimensions are diverse. Multi-turn dialogue must first anchor to a specific product track to avoid retrieving invalid cross-category data. Financial reports have two update types: periodic and temporary. Support is required for switching data source ranges during multi-turn dialogue. Financial report fields are detailed and have clear units. Prompts must strictly use only disclosed fields, and avoid generating unsubstantiated inferred content. Individual financial report documents are lengthy. The length of document fragments retrieved in a single pass must be limited to prevent context overflow. Channel data is scattered across different note paragraphs. Multi-turn dialogue must gradually guide users to clarify query dimensions to avoid information confusion.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Cosmetics financial report core document fragments are moderately long. Excessive length causes context overflow |
RECALL_TOP_N | Top 3–5 entries | Product categories and channel details for cosmetics financial reports are scattered across multiple note paragraphs. Retrieving a small number of precise fragments avoids information redundancy |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Batch importing multiple annual financial report PDFs requires longer processing time for long document parsing |
UPLOAD_FILE_MAX_SIZE | 50 MB | Typical size of individual annual financial report PDFs for cosmetics companies falls in the 20–40 MB range. This value covers most scenarios |
PROMPT_TEMPLATE | Only use the provided financial report document content, only disclose fields explicitly listed in the documents, do not fabricate unmentioned data. If further clarification of the query scope is needed, ask the user for specific product categories, report periods, or channel dimensions | Cosmetics financial report fields are detailed and must strictly be based on disclosed content. This template constrains the compliance of generated content |
AUTO_REFRESH_KNOWLEDGE_BASE | Trigger automatically quarterly | Periodic update cycle for financial reports of listed cosmetics companies follows quarterly intervals. This configuration ensures knowledge base data timeliness |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- A 500 error occurs when importing financial report documents parsed by the BGE model deployed via Ollama. The cause is that FastGPT version 4.8.10 does not adjust
UPLOAD_FILE_MAX_SIZEto fit the size of individual financial report PDFs, or thePARSE_FILE_TIMEOUT_SECONDSsetting value is insufficient to complete long document parsing. - Financial report analysis content generated during multi-turn dialogue is truncated. The cause is that the
maxContextsetting value is smaller than the total context length of the current conversation, or too many document fragments are retrieved in a single pass, leading to context overflow. - Conversation logs cannot be deleted after a session ends. The cause is that the
ENABLE_DELETE_CHAT_LOGconfiguration item is not enabled, or the current role is not granted deletion permissions.
How to verify proper configuration
- Upload a single annual financial report PDF, confirm the upload progress completes normally, and verify that the
UPLOAD_FILE_MAX_SIZEvalue matches the current document size. - Initiate a multi-turn dialogue, sequentially query revenue and channel-related data for different product categories, and check that returned content only includes explicit fields from the document with no fabricated data.
- Trigger a manual knowledge base update, confirm the update task executes normally, and verify that the
AUTO_REFRESH_KNOWLEDGE_BASEconfiguration cycle takes effect. - After a test session ends, attempt to perform a deletion operation, confirm the operation completes successfully, and verify the active status of the
ENABLE_DELETE_CHAT_LOGconfiguration item.
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.