What Data for This Category Looks Like
Livestock and poultry farming financial report data mainly comes from publicly monitored reports released by the Ministry of Agriculture and Rural Affairs, monthly statistical ledgers from industry associations, and annual and quarterly financial reports of publicly listed livestock and poultry farming enterprises. Data updates follow monthly and quarterly cycles. Annual financial reports summarize full operating cycles. Most documents are structured tables or structured reports, containing fields such as inventory volume, slaughter volume, feed consumption, epidemic prevention costs, and per-head farming revenue. Common units include head, ton, yuan/kilogram, and yuan/head.
What Constraints Do These Characteristics Impose on Knowledge Base Retrieval and Recall?
Monthly and quarterly periodic updates require the knowledge base to support incremental synchronization and regular full refreshes. This prevents outdated data from being used in financial analysis scenarios. Structured fields and unit differences require the retrieval link to match field semantics and unit consistency. This stops invalid recalls across categories and units from reducing analysis accuracy. Multi-source data characteristics require the recall phase to deduplicate duplicate data. It also requires balanced weighting of the same type of data from different sources, to avoid bias in analysis results.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8-12 entries | Livestock and poultry farming financial reports have concentrated fields. Too many recalls will introduce redundant non-core operating data and reduce analysis efficiency |
Similarity Threshold | 0.72-0.85 | Structured financial reports have high semantic matching accuracy. A threshold that is too low will introduce invalid results with mismatched units or categories |
Chunk Length | 800-1200 characters | Each segment of a financial report must contain complete single-category operating indicators, to avoid semantic breaks caused by truncation |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large annual financial report documents contain multi-page table data, which takes longer to parse. This avoids interrupting parsing due to timeout |
Incremental Sync Trigger Rule | Triggered per monthly update cycle | Matches the monthly and quarterly update rhythm of livestock and poultry farming financial reports, to ensure data timeliness |
Rerank Return Count | Top 3-5 entries | Core financial report indicators are concentrated. After reranking, results highly matching the query can be quickly filtered |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by document format, data volume, and business rules. Specific scenarios require individual analysis, and testing on relevant sample datasets is recommended before finalizing settings.
Three Common Mistakes
- Phenomenon: When using the
bge-m3embedding model, semantic retrieval scores are abnormally high, and results include a large number of financial report data from non-livestock and poultry farming categories. Cause: No matching rules were set for the structured fields and units of livestock and poultry farming financial reports, leading to over-amplified matching of units or general indicator names. - Phenomenon: A
504 Gateway Timeouterror occurs when parsing large annual financial report documents, and the retrieval task is interrupted directly. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted to an appropriate duration, and the default parameter is insufficient to complete the parsing process of multi-page tables. - Phenomenon: Financial report images in the knowledge base cannot be displayed properly, and only blank placeholders appear in retrieval results. Cause: Embedding storage of images within documents was not enabled, or access permissions for external image links were not configured.
How to Verify Proper Configuration
- Execute a single parsing task for a structured financial report document, and check whether the parsing status is normal, with no timeout or format error prompts.
- Initiate queries containing exclusive indicators such as "livestock inventory volume" and "feed cost", and verify whether the returned result fields match the livestock and poultry farming scenario.
- Adjust the
similarity thresholdto the preset range, and verify whether the relevance of retrieval results meets expectations, with no excessive irrelevant data included. - Configure an incremental synchronization task, and check whether the sync logs are triggered per monthly cycle, and the data update time matches the industry's public update rhythm.
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.