What the data for this category looks like
Sources of feed industry financial reports and statistical data primarily include public monitoring data from the Ministry of Agriculture and Rural Affairs Animal Husbandry and Veterinary Bureau, annual and quarterly reports regularly disclosed by listed feed enterprises, and industry statistical documents released by the National Feed Industry Association. Data update cycles cover multiple periods: listed company financial reports are updated quarterly and annually, while industry monitoring data is updated monthly.
The common upload format is CSV, with each row corresponding to statistical data for a single category and single reporting period. Document structures include fields such as reporting period, feed category, total output, raw material procurement cost, and gross profit per ton. Units are as follows: reporting period is identified by year or month, total output is measured in ten thousand tons, raw material cost is measured in yuan per ton, and gross profit per ton is measured in yuan per ton.
What constraints do these characteristics impose on the citation source and traceability link
The category segmentation feature of feed data requires precise matching of category fields during traceability, to avoid mixing data from different categories such as pig feed, poultry feed, and ruminant feed. The multi-cycle update feature requires limiting the reporting period range in the traceability link, to prevent recalling expired or cross-period data that reduces analysis accuracy.
The structure of fields strongly related to raw materials and output requires retaining complete field information during recall, to ensure that specific statistical items of the original data can be located during traceability. The fact that sources are scattered across government agencies, industry associations, and enterprises requires configuring multi-source recall filtering rules, to ensure that each cited piece of content can be traced back to the corresponding original document.
In addition, the data volume of a single feed statistical document is moderate but includes many detailed items. This requires the context carrying capacity of the traceability link to adapt to the associated display needs of multiple data sets, avoiding loss of key associated information due to context truncation.
How to set the configurations
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
UPLOAD_FILE_ENCODING | UTF-8 or GBK (match the actual encoding of the file) | CSV files for feed industry financial reports often use GBK or UTF-8 encoding. Matching the correct encoding avoids garbled text issues and ensures complete parsing of original data. |
Recall count | Top 10–15 entries | There are many detailed categories of feed data, and the data volume of a single document is moderate. 10-15 entries can cover the key data required for a single financial report analysis, avoiding context overload. |
Similarity threshold | 0.75–0.85 | Feed data fields have strong correlation. Higher thresholds can filter irrelevant cross-category data, ensuring that recall results are strongly related to the analysis topic. |
Chunk size | 800–1200 characters | Feed financial report data includes multiple sets of numerical values and field descriptions. This segment length can retain complete single-category, single-period data units, facilitating precise positioning during traceability. |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | When batch uploading monthly monitoring CSV files for the feed industry, single-file parsing takes a long time. 120 seconds avoids parsing timeout interruptions. |
maxContext | 6000–8000 characters | Feed financial report analysis requires associating multi-period data and category information. This range can carry sufficient recall context, avoiding truncation of key information. |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: Garbled text appears after uploading feed financial report CSV files, and fields are empty or content is disordered after parsing. Cause: The actual encoding of the file is not matched, and the default encoding is used for parsing, resulting in character set incompatibility.
- Phenomenon: When
maxContextis set to 3000, the large language model cannot receive the recalled context content. Cause: ThemaxContextvalue is too small to carry the volume of recalled feed data, resulting in failure to pass the context to the large language model after truncation. - Phenomenon: After passing HTTP response data as a citation source, no matching results are returned by knowledge base search. Cause: The response data is not converted to the structured format supported by the knowledge base, or the field matching rules are not configured correctly.
How to Confirm Correct Configuration
- Upload a test feed financial report CSV file, check whether the parsed fields are complete and free of garbled text.
- Configure
maxContextto the test value, initiate a financial report analysis request, and verify whether the large language model output includes the cited original data fields and source information. - Adjust
Recall countandSimilarity threshold, and verify whether the recall results only include data for the target feed category and reporting period. - Call the API with the test knowledge base ID, check whether the workflow can correctly call the recall results of the corresponding knowledge base.
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.