Knowledge Base Retrieval and Recall for Crop Farming

What the data for this category looks like

Crop farming financial report data mainly comes from publicly available national agricultural statistical data, annual and quarterly financial reports of listed agricultural and animal husbandry enterprises, and monthly monitoring reports from local agricultural management departments. The update schedule follows three tiers:

Monthly monitoring data is updated each month
Enterprise quarterly financial reports are updated each quarter
Annual industry summary reports and enterprise annual reports are updated each year

Document structures include core fields such as planting area, yield per unit area, agricultural input cost composition, revenue, and government subsidy amounts. Units include mu, kg/mu, yuan/kg, ten thousand yuan, and other standard units. Some documents organize data entries by crop category and production area.

Constraints on knowledge base retrieval and recall

There are many detailed fields that are closely interconnected. Retrieval must accurately match crop category, production area, and time dimension. Otherwise, irrelevant data across categories or production areas will appear in recall results. Update frequencies are tiered. Monthly monitoring data requires high-frequency synchronization to the knowledge base. Quarterly and annual reports must be updated within 24 hours of release. Otherwise, retrieval results will not reflect the latest industry trends. Tables make up a large share of documents. If data is not split and stored by field, precise single-indicator retrieval is not possible. Only vague full-text content will be returned. The correspondence between fields and units is clear. Retrieval processes must automatically match the correct unit for each field to avoid result deviations caused by unit confusion.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`chunk_size`	800–1200 characters	Crop farming financial reports include multi-field tables and long sections of cost analysis. This length fully retains the complete logic of single-crop, single-period data
`recall_top_k`	Top 8–12 results	Detailed categories require coverage of associated data across multiple production areas and crops. Too many results cause redundancy, while too few miss key information from detailed dimensions
`similarity_threshold`	0.72–0.78	Financial report fields have high precision requirements. A threshold that is too low mixes irrelevant data from unrelated crops or production areas. A threshold that is too high misses weakly related but critical historical comparison data
`PARSE_TABLE_STRATEGY`	Split storage by field	Most tables in crop farming financial reports use a single-crop, multi-indicator structure. Splitting by field enables precise single-indicator retrieval
`UPLOAD_FILE_MAX_SIZE`	2000 MB	Annual crop farming financial report collections include complete data across multiple production areas and crops. This setting supports large-file batch uploads
`PARSE_FILE_TIMEOUT_SECONDS`	900 seconds	Parsing large-volume financial report files takes significant time. This setting prevents parsing processes from being interrupted by timeout

Three Common Configuration Mistakes

Phenomenon: When uploading knowledge base parsing files, logs continuously report slow operation xxxxms. Cause: Failure to adjust the PARSE_FILE_TIMEOUT_SECONDS parameter. Parsing time for large-volume annual financial report collections exceeds the default threshold.
Phenomenon: Some financial report files do not generate question-answer pairs and directly write the original text. Cause: Failure to configure PARSE_TABLE_STRATEGY to split storage by field. Table-style financial reports cannot be correctly split into retrievable semantic units.
Phenomenon: Retrieval returns insufficient_quota Current group upstream load is saturated, please try again later (accompanied by request id). Cause: Failure to adjust the maxContext parameter according to the long-text characteristics of crop farming financial reports. The context length of a single retrieval exceeds the quota limit.

How to Verify Correct Configuration

Upload a single quarterly financial report file, view the parsed document list, and confirm that single-crop indicators in the table have been split into independent semantic entries.
Retrieve the yield per unit area data for a specified crop, and verify that the fields and units of the returned results fully match the source document.
Upload an annual financial report collection within 2000 MB, confirm that no timeout errors occur during parsing, and all files are successfully stored in the knowledge base.
Adjust the similarity_threshold parameter to 0.75, retrieve agricultural input cost data across production areas, and confirm that the accuracy of the recall results meets expectations.

The parameter values provided on this page are all 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.

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.