Model Access and Configuration for Personal Care Products

What the Data for This Category Looks Like

Personal care products financial report data primarily comes from periodic reports publicly disclosed by domestic and overseas stock exchanges, including annual reports, mid-term reports, and quarterly reports. Updates follow a fixed schedule aligned with disclosure deadlines set by stock exchanges. Document structure includes management discussion and analysis, consolidated financial statements, and financial statement notes. Fields cover revenue, attributable net profit, gross margin, sales expenses, research and development expenses, and more. Units are mostly CNY or percentages, including revenue proportions for segmented product categories. Data updates at a fixed frequency. Individual report lengths vary widely, and files contain large numbers of structured tables and long text passages.

Constraints Imposed on Model Access and Configuration Workflows

The fixed update schedule of personal care products financial reports requires configuring trigger rules for scheduled synchronization tasks. Rules must match stock exchange disclosure deadlines to avoid accessing undisclosed financial data. Documents contain long text and structured tables, so table parsing functionality must be enabled. Configure table extraction parameters to ensure accurate extraction of structured fields such as revenue and gross margin. Many fields exist, including specific ones like segmented product category revenue proportions. Configure entity recognition rules to match field naming conventions for personal care segmented categories in financial reports. Wide variation in individual report lengths requires configuring appropriate context window and segment length parameters, to avoid truncating critical information. Publicly disclosed data must match formats supported by the target model. Configure data preprocessing rules to ensure correct parsing of PDF-format financial report files.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`maxContext`	`8000-12000 characters`	The post-parsing text length of most individual personal care financial report PDFs falls between 5000-8000 characters. This range reserves sufficient context to cover complete financial report passages
`PARSE_TABLE_ENABLE`	`Enabled`	Personal care financial reports contain large numbers of structured financial tables. Enabling this function allows accurate extraction of structured fields such as revenue and gross margin
`RECALL_TOP_K`	`Top 3-5 entries`	Personal care financial reports have many fields and segmented categories. Too many recalled entries will introduce irrelevant content, while too few will miss critical fields
`SIMILARITY_THRESHOLD`	`0.75-0.85`	High precision is required for personal care financial report fields. This range avoids recalling content unrelated to financial report fields
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	Annual report PDFs for listed personal care products companies typically range from 100-300 MB. This setting reserves sufficient upload margin
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Parsing large-volume financial report files requires extended processing time. This setting prevents parsing from being interrupted by timeouts

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 Configuration Mistakes

Symptom: The model returns an invalid reference ID error, with forged reference IDs present in the returned results. Cause: Reference ID verification rules for the model have not been configured, causing the reference format returned by the model to not meet the preset requirements of FastGPT.
Symptom: A locally deployed FastGPT instance using Docker cannot connect to a privately deployed large model on Volcano Engine Cloud, returning a connection refused error. Cause: The MODEL_API_BASE configuration has not been set to the internal or public network API address of Volcano Engine Cloud, or network policies have restricted port access.
Symptom: The classify module cannot select a model in the editing interface, but works normally after the workflow is published. Cause: Front-end cache has not synchronized configuration changes, or model binding for the classify module was not saved correctly.

How to Verify Successful Configuration

Upload a single publicly disclosed annual report PDF for a listed personal care products company, and check if parsed text includes fields such as revenue and attributable net profit, to confirm the table parsing function is active.
Configure a vector recall task, input the keyword "2023 personal care segmented product category revenue", and check that the number of recall results matches the RECALL_TOP_K setting.
Call the configured large model, input a test prompt, and check that the returned results contain no invalid reference ID or connection refused errors, to confirm the model access configuration is correct.
Run a test case for the classify module, input a financial report classification task, and check that classification results meet expectations, to confirm the classify module configuration is active.

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.