Deployment and Upgrade of Feed Industry Research and Knowledge Base Construction

Feed industry research and investment data mainly comes from public monitoring data from the National Feed Industry Association, daily feeding records

What the data for this category looks like

Feed industry research and investment data mainly comes from public monitoring data from the National Feed Industry Association, daily feeding records from breeding terminals, spot price lists from raw material suppliers, and feed additive standards released by the Ministry of Agriculture and Rural Affairs. Data update rhythm has multiple tiers: raw material spot prices are updated daily, industry supply and demand analysis reports are released weekly, and compliance standards are revised quarterly. Document structure includes two categories: One is structured tables, such as raw material nutrient composition tables, with fields including crude protein, crude fiber, calcium, available phosphorus, with units of percentage and milligrams per kilogram. The other is unstructured documents, including industry research reports, scanned policy documents, and breeding end feedback logs.

What constraints these characteristics impose on deployment and upgrade

A large volume of structured data with specialized fields and units requires the document parsing module during deployment to support multi-field extraction and unified unit verification, to avoid data misalignment or unit confusion. High-frequency updated raw material price data requires configuring an incremental synchronization mechanism during the upgrade phase, to reduce resource consumption from full re-runs. Unstructured long-text research reports and scanned documents require adjusting parsing module timeout and segmentation parameters, to avoid parsing interruptions. Additionally, feed data involves breeding end production information. Sensitive data encryption rules must be configured synchronously during deployment and upgrade, to comply with industry compliance requirements.

Configuration ItemRecommended ValueRationale
UPLOAD_FILE_MAX_SIZE2000 MBFeed industry research reports and raw material test reports have large individual file sizes, so the single-file upload limit needs to be raised
PARSE_FILE_TIMEOUT_SECONDS900 secondsParsing long-text research reports and OCR scanned documents takes a long time, extending the timeout period to avoid parsing interruptions
maxContext1500–2000 charactersFeed data includes multi-dimensional nutrient parameters, so the context window needs to be expanded to fully associate field information
Recall countTop 8 entriesFeed industry research requires covering multi-dimensional data including raw materials, breeding, and policies, increasing the number of recalled entries to ensure comprehensive information
Similarity thresholdCalibrated based on actual testingFeed industry terminology is highly specialized, so the threshold needs to be adjusted based on business scenarios to avoid missing data from relevant sub-categories
INCREMENTAL_SYNC_INTERVAL2 times per dayRaw material prices are updated daily, configuring the incremental synchronization frequency to match the data source update rhythm

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 samples specific to the deployment before finalizing the configuration.

Three Common Misconfigurations

  • Symptom: A configuration error prompt pops up after private deployment starts, and the "configuration file format invalid" field appears in the logs. Cause: The parsing rule template in the configuration file was not modified to meet the parsing requirements of multiple structured fields in the feed industry, causing startup verification to fail.
  • Symptom: When importing batch feed research reports in an offline deployment environment, the system returns an error "total document limit exceeded". Cause: UPLOAD_FILE_MAX_SIZE and the global document storage quota were not adjusted, failing to adapt to the large document size characteristic of the feed industry.
  • Symptom: An uncaught exception error is triggered when the AI chat component in the workflow is called to process feed nutrient ratio calculations. Cause: The maxContext parameter was not set large enough, causing context information associated with multiple fields to overflow and triggering a system exception.

How to Verify Correct Configuration

  • Upload a standard feed raw material test report, check whether preset fields are fully extracted in the parsing result, and verify that field units are unified.
  • Trigger an incremental synchronization task, check whether the system only updates newly added data sources on the day and does not repeatedly process historical documents.
  • Call the AI chat component in the workflow, enter a query related to feed formulas, check whether the returned results include multi-dimensional associated data and no context overflow prompt appears.
  • View the system monitoring panel, confirm that the running duration of file parsing tasks does not exceed the preset timeout threshold.

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.