What the Data for This Category Looks Like
Data sources for livestock and poultry farming research reports include public monitoring data from national agricultural and rural affairs animal husbandry and veterinary authorities, industry reports from the China Animal Agriculture Association, research reports from leading securities firms’ agriculture, forestry and animal husbandry teams, and regular announcements from listed breeding enterprises. Update frequencies cover daily, weekly, monthly, and irregular releases. Core market data is updated daily, industry monthly reports are released each month, and securities firm research reports are updated irregularly alongside industry trends. Document structures typically include four modules: report header information, structured data tables, market analysis, and future outlook. Core fields include pig inventory, feed procurement cost, and average slaughter weight, with corresponding units of ten thousand head, yuan per ton, and kilogram.
Constraints Imposed on Workflow Orchestration by These Characteristics
Multiple data sources with inconsistent update rhythms require the workflow to support both scheduled pulling and real-time trigger data import methods. The large number of structured tables in documents requires the workflow to configure dedicated table parsing nodes to avoid field loss caused by relying solely on plain text extraction. Diverse units for core fields require configuring unit standardization mapping rules during the data extraction stage to prevent unit inconsistency issues in subsequent analysis. Significant variation in report length requires the workflow to adapt to documents of different lengths, reasonably configuring the context window and segment length to prevent key content from being truncated.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Livestock and poultry farming research reports contain a large number of structured data tables. Enabling this option can accurately extract core fields such as inventory and cost. |
KNOWLEDGE_UPDATE_CRON | 0 0 2 * * ? | Core market data is updated daily. This Cron expression matches the data source update rhythm while avoiding resource occupation caused by frequent pulling. |
maxContext | 8000–12000 characters | Most individual livestock and poultry farming research reports range from 5000 to 15000 characters in length. This range can fully cover core analysis content and avoid truncation of key data. |
knowledgeSearch.recallCount | Calibrated per scenario | Core data of livestock and poultry farming research reports is scattered across different documents. This value needs to be adjusted based on query requirements to ensure that recall results cover relevant content. |
UPLOAD_FILE_MAX_SIZE | 20 MB | A complete single research report PDF generally does not exceed 15 MB. This value is compatible with most document formats while avoiding resource waste. |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing long documents requires significant time. 120 seconds covers most research report parsing requirements and prevents timeout failures. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After configuring
knowledgeSearchdynamic parameters, the AI returned results do not include cited research report fragments and source information. Cause: TheknowledgeSearchresult binding step was not added to the workflow, causing the documents obtained from the search to not be injected into the context generation stage, or the search keywords and knowledge base filter conditions were not correctly mapped during dynamic parameter passing. - Symptom: After uploading a research report PDF exceeding the threshold, the workflow terminates directly, and the interface displays the
FILE_SIZE_EXCEEDerror code. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted, and the default value is smaller than the actual size of the research report document, causing file upload to be blocked. - Symptom: After parsing a long document, the workflow triggers a timeout, and the interface displays the
PARSE_TIMEOUTerror code. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default timeout period is insufficient to complete table parsing and text extraction for long research reports.
How to Verify Proper Configuration
- Upload a single livestock and poultry farming research report, trigger workflow execution, and check whether the structured data output by the parsing node includes the core indicators in the document. Adjust the parsing configuration until the output meets expectations.
- Enter targeted query terms, check whether the recall results returned by the
knowledgeSearchnode cover relevant research report content. Adjust the recall count and similarity threshold configuration until the results match the query requirements. - View the workflow execution logs to confirm that there are no error codes such as file size exceeding limits or parsing timeouts. Adjust the corresponding parameter configuration until no exceptions occur.
- If migrating a workflow from an older version, export the old version process JSON file, import it on the new version platform, and rebind node parameters and variables to ensure complete workflow logic.
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.