What Data for This Category Looks Like
Feed industry financial report data is sourced from publicly monitored information released by the Ministry of Agriculture and Rural Affairs, annual and quarterly announcements from feed production enterprises, and monthly industry reports from the National Feed Industry Association. Data update cycles include monthly industry supply and demand monitoring, quarterly enterprise operation briefings, and annual official financial report disclosures. Most documents include fields such as raw material purchase unit price (unit: yuan/ton), annual production capacity (unit: 10,000 tons), revenue proportion of various feed product categories, and gross profit per ton of product. Some enterprises disclose detailed indicators such as core raw material inventory turnover days.
Constraints on Retrieval and Reranking
The data characteristics of the feed category create multiple constraints for the retrieval and reranking process. Monthly updated industry monitoring data requires incremental synchronization tasks to keep knowledge base content aligned with industry dynamics. Individual enterprise financial report documents are lengthy. Split them into reasonable lengths during preprocessing to avoid exceeding model context limits. Fields such as raw material unit price and production capacity have clear units. Match both field names and unit formats during retrieval to avoid confusion with cross-category data. Non-standard descriptions of detailed indicators such as inventory turnover days require unified field mapping during preprocessing to improve retrieval matching accuracy. Bulk commodity data has high timeliness requirements. Prioritize the latest monitoring data and financial report disclosures during reranking.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 800–1200 characters | Adapts to the average length of single-page feed industry financial report documents, avoids exceeding model processing limits for individual segments, and reduces context fragmentation after splitting |
rerank_count | Top 8–12 results | Feed industry data includes multi-dimensional detailed indicators, so a sufficient number of candidate results must be retrieved to cover search needs for raw materials, production capacity, revenue, and other categories |
similarity_threshold | 0.65–0.75 | Balances matching accuracy for detailed fields in the feed industry, avoids missing relevant industry monitoring data due to a threshold that is too high, or introducing irrelevant content due to a threshold that is too low |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single feed enterprise annual report documents are lengthy, so parsing timeout must be extended to ensure complete reading of all content |
maxContext | 12000–16000 characters | Adapts to the combined length of multiple retrieved segments, meets the need for cross-paragraph context association during financial report analysis |
reranked_return_count | Top 3–5 results | Focuses on the most relevant core data to provide accurate reference basis for financial report analysis |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Symptom: Knowledge base search tests return scores as high as 4000+. Cause: Field units and retrieval matching rules are not unified. The system directly matches numeric fields using original characters, which amplifies score weights.
- Symptom: The agent editing page fails to complete interaction after loading. Cause: Knowledge base association configuration is not correctly bound, or workflow node parameters are not initialized, leading to front-end rendering blocking.
- Symptom: Timeout errors occur when parsing feed industry financial report documents. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to a reasonable duration, which cannot cover the complete parsing process for long documents.
How to Confirm Proper Configuration
- Run a knowledge base search test, input core keywords for the feed industry, and verify whether the field units and target data format of the returned results match.
- View the knowledge base parsing log to confirm that long documents have been correctly segmented, with no truncated or parsing failure records.
- Enter the workflow configuration page to verify that the incoming knowledge base ID parameter can be correctly mapped to the corresponding configuration item of the search node.
- Simulate a financial report analysis scenario, input multi-dimensional search requirements, and confirm that the retrieved results cover core indicators such as raw materials, production capacity, and revenue.
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.