What the data for this category looks like
Crop farming industry research report data comes from public research results produced by institutions directly under the Ministry of Agriculture and Rural Affairs, local agricultural technology extension stations, seed industry associations, and agricultural research institutes. Organizations release regular reports quarterly. They issue special reports for extreme weather or new policy implementation as needed. Most documents use PDF format. Some include structured Excel or CSV data attachments. Core fields include issuing institution, release date, survey region, crop category, yield per unit data, cost composition, and policy interpretation modules. Yield per unit data mostly uses kg/mu or tons/hectare as units. Cost data uses yuan/mu as the statistical unit.
Key Constraints for Citation Source and Traceability
In crop farming research report retrieval scenarios for finance, insurance, and wealth management industries, sources of research reports are scattered, and formats vary widely. Teams must first match the official certification logo of the issuing institution for citation traceability to ensure accuracy of authoritative sources. Update cycles differ across reports. Regular quarterly reports and special emergency reports have different timeliness requirements. Traceability systems must simultaneously mark release time and update type to help users judge information validity. Some research reports include structured data attachments, with core business data stored in attachment cells. Traceability systems must support pointing to specific fields within documents. Relying solely on full documents cannot meet needs for precise citation. Crop categories and survey regions have strong subdivision attributes. Traceability systems must bind corresponding category and region information to avoid confusion in data citations across categories or regions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 10 results | Crop farming research report data volume is relatively concentrated. Too many recall results increase traceability processing costs. Too few recalls fail to cover research report content for relevant crop categories |
similarity_threshold | 0.75–0.85 | Crop farming research reports contain a large number of professional terms and subdivision category information. A threshold that is too low introduces irrelevant content. A threshold that is too high may miss relevant matching reports |
rerank_top_n | Top 5 results | Sufficient traceability candidates must be retained. Controlling the volume of citations processed by the large model avoids redundant answers |
source_display_mode | Full institution name + release date + document title | The authority of the issuing institution of crop farming research reports directly affects credibility. Full display of traceability information meets user verification needs |
parse_attachment_enable | Enabled | Core data of some research reports is stored in structured attachments. Parsing attachments enables precise cell-level traceability |
context_window_limit | 8000–12000 characters | Single crop farming research report content is relatively long. Limiting the context window avoids redundant information interfering with traceability accuracy |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: The number of citation sources displayed on the interface exceeds the configured
recall_top_kvalue. Cause: The value ofrerank_top_nis not configured synchronously. The re-ranking link does not truncate excess recall results, resulting in final displayed citation sources exceeding expectations. - Phenomenon: The cited research report content only displays the document title, and is not associated with specific structured attachment cells. Cause: The
parse_attachment_enableconfiguration is not enabled. Structured data attachments attached to the research report are not parsed, making precise traceability impossible. - Phenomenon: The answer generated by the large model cites low-ranked research report content, and does not prioritize results with higher relevance. Cause: A reasonable
similarity_thresholdis not set, or the re-ranking link is not enabled. This results in failure of relevance sorting, and traceability selects content with lower matching degrees.
How to Confirm the Configuration Is Set Correctly
- Upload a crop farming research report containing structured attachments to the knowledge base. Check the knowledge base parsing log to confirm that fields in the attachment are correctly extracted. Verify that the
parse_attachment_enableconfiguration takes effect. - Submit a crop farming retrieval query targeting a specific crop and region. Check the citation source display format of the returned results to confirm that it matches the
source_display_modeconfiguration. - Adjust the value of
similarity_threshold. Compare the number of returned citations and relevance under different values to confirm that results meet expected screening requirements. - Check the citation annotations in the answer generated by the large model. Confirm that each citation is associated with the corresponding issuing institution, date, and document title, with no missing traceability information.
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.