What This Category’s Data Looks Like
Data sources for livestock and poultry farming financing daily reports include publicly monitored reports from livestock industry associations, financing submission ledgers for breeding entities from local agricultural and rural departments, and transaction records from supply chain finance platforms. Data is updated daily, covering all financing transaction data from the previous working day. Each document contains multiple standardized financing records. Each record includes six core modules: financing subject, breeding category, financing amount, financing method, corresponding inventory/slaughter data, and financing time. Unified field units: Financing amount is measured in ten thousand yuan, inventory quantity is measured in heads or birds, financing term is measured in days. Breeding categories must be specific sub-categories such as pigs, broilers, beef cattle.
Constraints for Knowledge Base Retrieval and Recall
The multi-source data characteristics of livestock and poultry farming financing daily reports create constraints for the retrieval link. The retrieval process must filter non-target data using data source tags to avoid mixing irrelevant non-breeding financing records. The daily update rhythm requires the knowledge base to be configured with daily incremental synchronization tasks, ensuring retrieval results cover the latest same-day financing data. The structure where each document contains multiple groups of associated fields requires retaining contextual associations between fields during retrieval, preventing the breakdown of binding relationships between financing amounts and inventory data after splitting. Clear unit and category fields require the retrieval link to match corresponding unit and category keywords, avoiding incorrect recall results across categories or unit mismatches.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | top 10 | Livestock and poultry farming financing daily reports contain multiple associated fields, requiring a sufficient candidate set to cover precise matching results |
Similarity threshold | 0.75–0.85 | Business associations in financing data require high relevance, so low-related non-target records must be filtered |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single batch financing daily report documents contain multiple groups of records, leading to long parsing times |
Chunk size | 800–1200 characters | Each group of records in financing daily reports contains multiple associated fields, requiring complete contextual retention |
Global Variable Knowledge Base Selection | Bind by financing subject’s affiliated region | Different regions have different breeding financing policies and data standards, requiring precise matching of dedicated knowledge bases |
Rerank result count | top 3 | Financing decisions require precise prior reference data, and excessive results will interfere with judgment |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by document format, data volume and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing.
Three Common Configuration Errors
- Issue: Format verification failure prompt appears when configuring
Global Variable Knowledge Base Selection. Cause: The binding relationship between variables and knowledge bases is not configured using standard JSON format. - Issue: The knowledge base retrieval node in the workflow returns "No retrieval results". Cause: The dedicated knowledge base for livestock and poultry farming financing daily reports is not specified in the workflow node, or the correct knowledge base identification parameter is not passed.
- Issue: The knowledge base returns a "Split failed" error when parsing financing daily report files. Cause: The
Chunk sizeparameter is not adjusted to fit the multi-field associated document structure of financing daily reports, resulting in lost field association relationships after splitting.
How to Verify Successful Configuration
- Run a parsing test on a single livestock and poultry farming financing daily report document, verify that the parsed fields fully match the core content of the original document.
- Trigger a knowledge base retrieval test, input a query containing breeding category and financing amount range, verify that the returned result similarity meets the preset threshold requirements.
- Run a workflow calling the retrieval node, verify that the returned results only come from the dedicated knowledge base for livestock and poultry farming financing daily reports.
- Upload batch financing daily report files, verify that the upload progress and parsing time meet the preset timeout parameter settings.
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.