What Data for This Category Looks Like
Data sources for dairy product yield rate data include publicly monitored data from domestic livestock industry associations, data collected from supermarket POS terminals, and interfaces from third-party industry monitoring platforms. Update cadence falls into three categories: raw milk-related data updates daily, terminal retail data updates weekly, and full-category summary reports are released monthly. The document uses a structured table with fields including product name, statistical period, raw material cost, channel cost, terminal selling price, profit margin, data source identifier, etc. It supports export in CSV or JSON formats, or return via API interface. Corresponding units for each field are: yuan per kilogram, natural time period, yuan per kilogram, yuan per piece, yuan per box, yuan per piece, data source identifier.
Constraints for Form and Interaction
The multi-update cadence of dairy product yield rate data requires forms to support filtering data by statistical period. Forms must distinguish entry points for real-time, weekly, and monthly data. Multiple fields with differing units require forms to automatically adapt unit display for each field, to avoid unit confusion during user input or selection. The rich category segmentation feature requires forms to implement cascaded category filters: first select a major category, then load fields for the corresponding sub-categories, to reduce unnecessary interactions. Differences in update cycles across data sources require forms to automatically prompt the corresponding statistical period range after a user selects a data source, to avoid report bias caused by mixing data from different cycles.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 10-15 entries | A single dairy product yield rate data entry includes multiple fields. Too many recalled entries will exceed the context window, while too few will miss sub-category data |
similarity threshold | 0.72-0.85 | Features of sub-categories such as pasteurized milk, yogurt, and cheese must be distinguished. A threshold that is too low will include irrelevant category data, while a threshold that is too high will miss entries for the same category with different specifications |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Dairy product monthly summary reports are typically lengthy, so sufficient time must be reserved for document parsing |
chunk length | 800-1200 characters | A single yield rate data entry includes multi-field associated information. Chunks that are too long will prevent the model from fully reading the correspondence between fields |
rerank return count | Top 3-5 entries | Final broadcasts must focus on core data for core categories. Too many entries will cause redundant broadcasts |
variable mapping rule | Bind corresponding data sources by product category | Different dairy product categories correspond to different data source interfaces. A mapping relationship between variables and data sources must be configured in advance |
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. Each situation requires specific analysis. It is recommended to test on your own samples before finalizing values.
Three Common Mistakes
- Symptom: When calling a knowledge base search plugin, the corresponding dairy product category knowledge base cannot be selected dynamically via variables. Cause: The category variable is not bound to the knowledge base filter parameters, so the plugin always calls the default knowledge base instead of the data source matching the category.
- Symptom: After triggering text content extraction in a workflow, no dairy-related keywords are matched. The specified reply is sent, and the process terminates directly without waiting for user input. Cause: The wait for user interaction switch for the workflow is not enabled, so the session ends directly after extraction fails.
- Symptom: The rerank model returns only a single entry with the highest similarity. Cause: The default configuration for
rerank return countis not modified. The default returns only 1 result, which cannot cover yield rate data for multiple categories.
How to Verify Proper Configuration
- Upload a sample document of dairy product yield rate data, and check whether the parsed fields match the fields configured in the form.
- Trigger a query that includes a specific dairy product category, and check whether the number of knowledge base recalled entries matches the configured
recall countparameter. - Call the rerank model, and verify that the number of returned results matches the configured
rerank return count. - Simulate a scenario where text extraction fails, and confirm whether the preset specified reply is triggered and the system enters the state of waiting for user input.
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.