What this type of data looks like
Data primarily comes from loan ledgers of agricultural financial institutions, filing records of breeding entities from livestock and poultry regulatory authorities, and financing application submissions from breeding enterprises. Data is aggregated and integrated for the previous day each midnight. Each daily report document is sorted by breeding entity, and includes these fields: entity name, inventory scale (unit: head, feather, or pen), applied financing amount (unit: ten thousand yuan), actual loan amount, loan term, purpose annotation. Some entries include collateral method descriptions.
What constraints these characteristics impose on deployment and upgrade
The requirement for daily scheduled updates means fixed-cycle automatic synchronization tasks must be configured during deployment, to avoid delays from manual triggering. Structured data with multiple fields requires precise field mapping configuration, to prevent unit-bearing fields such as inventory volume and financing amount from being incorrectly identified as text. The document structure sorted by breeding entity requires retrieval rules grouped by entity, to avoid mixing data across different entities. Connecting a large number of heterogeneous data sources requires pre-configuring format verification and whitelist rules, to prevent non-compliant data from entering the system. The upgrade process must retain the running state of existing synchronization tasks, to avoid interrupting the daily data aggregation workflow.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Livestock and poultry farming financing daily reports contain multiple entity entries per document, with large data volume. 600 seconds covers the full parsing process |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Daily aggregated breeding financing data documents may include multiple batches of ledger export files, requiring support for large single-file uploads |
Recall Count | Top 10 entries | Retrieval for livestock and poultry farming financing daily reports focuses on the latest financing information of core entities. Too many entries reduce retrieval efficiency |
Similarity Threshold | 0.75–0.85 | Differentiate financing records of different breeding entities, to avoid cross-entity fuzzy matching interfering with results |
PARSE_CHUNK_SIZE | 800–1200 characters | A single daily report has many fields. Segment length must cover complete entity financing information entries, to avoid splitting that breaks data integrity |
AUTO_SYNC_CRON | 0 3 * * * | Trigger synchronization of the previous day’s data at 3 AM daily, avoiding peak business hours |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- After upgrading Docker to version 4.8.20, knowledge base retrieval returns the
text index required for $text queryerror. The cause is that the full-text index was not rebuilt during the upgrade, and existing index configurations are incompatible with the new version’s retrieval rules. - After migrating the knowledge base to a self-hosted deployment instance, all existing field mappings for breeding entities become invalid. The cause is that the original field mapping configuration was not exported and reused during migration, and field correspondences were not reconfigured after direct import into the new instance.
- When running the upgrade script, a prompt indicates that environment variables are not configured. The cause is that the
{{rootkey}}placeholder in the script was not replaced in advance, or the corresponding key was not configured in the deployment environment.
How to confirm configuration is complete
- Manually trigger a parsing task for a single livestock and poultry farming financing daily report, and check parsing logs for prompts of failed field identification. Confirm all preset fields are correctly extracted.
- Run a scheduled synchronization task once, and check if the synchronized knowledge base includes the day’s breeding financing data entries, and that field units have not been incorrectly converted.
- Initiate a retrieval test, enter the name of a breeding entity, and check if the number and similarity of returned results meet the preset recall rules and threshold requirements.
- After running the upgrade script, check container running status and whether existing synchronization tasks start normally. Confirm the upgrade did not interrupt the business workflow.
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.