What This Category of Data Looks Like
Sources of feed industry financial report data include public regular reports of listed feed enterprises, monthly and quarterly industry monitoring data released by industry associations, and public quote data from raw material futures markets. There are three update frequency categories:
- Enterprise regular reports are disclosed annually, semi-annually, and quarterly
- Industry monitoring data is updated monthly
- Raw material quote data is updated daily
A single financial report document typically includes sections such as revenue and sales breakdown, raw material cost proportion, profit per ton, downstream breeding demand proportion, and capacity utilization rate. Some industry data documents split data dimensions by breeding category. Core fields include feed sales by category, sales price per ton, raw material procurement cost, net profit, and net operating cash flow. Common units are ten thousand tons, yuan per ton, and ten thousand yuan.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompting
The multi-dimensional segmented nature of feed financial report data requires multi-turn dialogue to accurately retain context restrictions such as category, cost, and sales volume, to prevent large models from confusing statistical fields of different breeding categories. Data with different update frequencies, such as quarterly static financial reports and real-time raw material prices, requires clear call scope defined in prompts to prevent large models from mixing historical static data and real-time dynamic information. Large-scale detailed sales data, such as 100,000 records, increases the load of knowledge base recall and document parsing. Configuration parameters for dialogue and parsing need to be adjusted to adapt to the data scale. Users may switch analysis dimensions continuously during multi-turn dialogue. Prompts need to clarify the theme focus of each interaction to avoid logical confusion caused by context overflow.
How to Set the Configurations
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Feed financial report data has multiple dimensions. Multi-turn dialogue needs to retain multi-dimensional context such as category, cost, and sales volume to avoid losing key restrictions |
Similarity threshold | 0.75–0.85 | Feed data fields are highly segmented, such as pig feed and poultry feed sales. Low-match irrelevant documents need to be filtered to avoid confusing data from different categories |
Recall count | Top 8–12 entries | A single feed financial report document contains multiple sections of data. A sufficient number of documents need to be recalled to cover different analysis dimensions |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Feed industry data documents may contain millions of detailed records. The parsing timeout period needs to be extended to complete full parsing |
Rerank result count | Top 5–7 entries | Recalled documents are reordered by relevance, and feed segmented category data matching the current dialogue theme is prioritized for return |
Knowledge Base Binding Rule | Bind via the "Feed Industry Financial Reports" tag | Avoid recalling financial report data from non-feed categories during multi-turn dialogue, and ensure context focus |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Each scenario requires targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Calling the dialogue interface returns financial report data from non-feed categories. Cause: The exclusive feed industry financial report knowledge base is not bound in the request parameters, resulting in recall of documents from other categories.
- Phenomenon: After switching analysis dimensions in multi-turn dialogue, the large model still uses previous category restrictions, leading to field matching errors. Cause: The dimension reset rule for each dialogue is not clearly defined in the prompt, causing expired restriction conditions to remain in the context window.
- Phenomenon: A timeout error occurs when uploading 100,000 pieces of sales detail data. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to a sufficient duration, and the default timeout period is not enough to process large-scale detailed data.
How to Confirm Correct Configuration
- Initiate a single-turn dialogue test. Ask for revenue data of a specific feed category, and verify that returned results only include relevant fields from the feed industry, with no data from unrelated categories.
- Run consecutive multi-turn dialogue tests. First ask for sales data of one feed category, then ask about the impact of associated raw material costs. Verify that each reply retains the context restrictions from prior interactions.
- Upload a single sales spreadsheet with large-scale detailed data. Verify that the system completes parsing and returns results within the configured timeout period.
- Review knowledge base binding settings. Confirm that documents related to feed industry financial reports are categorized under exclusive tags to prevent confusion with other knowledge bases.
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.