What this category’s data looks like
Livestock and poultry farming financial report data mainly comes from the Ministry of Agriculture and Rural Affairs official livestock monitoring platform, annual/quarterly public reports of listed farming entities, industry statistical briefs released by the National Animal Husbandry Station, and internal agribusiness research data organized by financial institutions. Most documents are structured tables or detailed PDF reports. Fields include live inventory, quarterly slaughter volume, unit breeding cost, total feed consumption, proportion of epidemic prevention costs, and more. Common units are head, kilogram, yuan/kilogram, ton, and others. Industry monitoring data updates monthly. Corporate financial reports are disclosed quarterly or annually. Individual document lengths range from thousands to tens of thousands of characters. For financial scenarios, all cited data must have auditable traceability information.
What constraints do these characteristics impose on the citation sources and traceability link?
Livestock and poultry farming financial report data comes from dispersed sources including government public monitoring, regular corporate reports, industry association briefs, and internal research data. The traceability link in financial scenarios must separately mark compliant metadata for different sources. Multiple types of field units exist, so the unit of the corresponding field must be clearly marked during traceability to avoid data confusion during analysis. The update frequency of different data sources varies significantly, so rules to filter expired data by data source type must be configured to ensure the timeliness and compliance of cited content. Individual documents have long lengths, so the recall segment length for single documents must be limited to prevent context window overflow that affects traceability accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | top 6 | Livestock and poultry farming financial report documents mostly contain structured data. Excessive recall will lead to redundant context, and the top 6 results need to cover the two core sources of industry data and corporate financial reports |
similarity threshold | 0.72–0.85 | Livestock and poultry farming financial reports involve a large number of professional terms. A threshold that is too low will introduce irrelevant general data, while a threshold that is too high may miss segmented statistical content of the same category |
segment length | 800–1200 characters | Individual livestock and poultry farming financial report documents have long lengths. Excessively long segments will cause context window overflow, while excessively short segments will destroy the associated integrity of fields |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing large PDF-format industry statistical reports or corporate financial reports takes a long time, so sufficient parsing time must be reserved |
citation metadata toggle | enabled | Financial scenarios require separately marking metadata such as source institutions and release time to meet audit and traceability requirements |
knowledge base recall weight | corporate financial reports:0.6, industry data:0.4 | The compliance reference value of a company’s own financial reports is higher in financial scenarios, and industry data serves as auxiliary supplements |
The parameter values provided on this page are all conventional recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to conduct tests on your own samples before finalizing the configuration.
Three Common Mistakes
- Phenomenon: The generated financial report analysis does not display compliant traceability metadata, which does not meet the audit requirements of financial institutions. Cause: The
citation metadata toggleis not enabled, or the metadata extraction rules for different data sources are not configured. - Phenomenon: Inconsistent units appear in the recalled cited content, leading to data deviations in the analysis results. Cause: The unit field of the original document is not retained in the
segment lengthconfiguration, or the unit marking function of metadata is not enabled. - Phenomenon: In the deployment environment of version 3.9.2, the large language model does not reference content from the associated knowledge base in non-tool call mode, and only returns general answers. Cause: The knowledge base recall rules are not correctly configured, or the knowledge base association switch for conversations is not enabled.
How to Confirm Proper Configuration
- Upload a quarterly financial report document of a livestock and poultry farming enterprise, initiate an analysis request, and check whether the generated result contains metadata information of the corresponding source.
- Adjust the recall-related configuration, compare the number of citation entries under different configurations, and confirm that it meets the professional term recall and traceability requirements in financial scenarios.
- Upload multiple documents of different types of data sources, and check whether the recall results prioritize content with high compliance value according to the configured weight rules.
- View the knowledge base parsing logs to confirm that the parsing duration of a single document does not exceed the configured timeout threshold.
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.