What Data for This Category Looks Like
Feed profitability-related data is sourced from three primary locations: the Feed Monitoring System under the Ministry of Agriculture and Rural Affairs’ Animal Husbandry and Veterinary Bureau, public quotation portals of large domestic feed manufacturers, and daily sampling data from regional agricultural wholesale markets. Full daily data updates run between 16:00 and 18:00. A single update covers feed category quotations across all 31 provincial-level administrative regions in China. Each standard single document includes these fields: feed category name, production area information, wholesale and retail unit prices, and reference raw material cost proportion. All units use yuan per kilogram. Some batch summary documents include original record items for regional price difference comparisons.
Constraints Imposed on Deployment and Upgrade by These Characteristics
The fixed update window, structured fields, and batch document characteristics of feed category data create multiple constraints for deployment and upgrade workflows. The daily concentrated update window between 16:00 and 18:00 requires scheduled pull tasks to align with this period. This avoids pulling incomplete temporary data. Structured production area and unit price fields require preservation of field relationships during chunking. This prevents loss of data association logic after splitting. Batch summary documents have relatively large file sizes. Chunking parameters must be adjusted to avoid truncation of critical information. The stable daily full data update volume requires sufficient vector database storage space to be reserved during upgrades. This prevents capacity limit triggers. Differences in data formats across multiple sources require unified parsing rules to be configured during deployment. This avoids inconsistent parsing results for documents from different sources.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing time for a single batch feed summary document usually exceeds the default threshold. Extending the timeout prevents parsing interruptions |
Chunk Length | 1200–1500 characters | Feed documents contain multi-field associated content. This range preserves field relationships and avoids excessive splitting |
Retrieval Count | Top 8 entries | Regional price difference items in feed data require sufficient retrieval volume to cover multi-region information. This prevents omission of critical data |
Similarity Threshold | 0.72–0.78 | Feed category names and production areas have high correlation. This threshold filters irrelevant non-feed category data |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Average size of batch feed summary documents falls within this range. This prevents uploads from being blocked by the system |
DOCKER_RESTART_CONDITION | on-failure:3 | Matches the scheduled task scenario for daily feed data updates. Automatically restarts up to 3 times on failure. This prevents service stagnation |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Scenario: When deploying using the OceanBase version’s compose.yml, other containers start normally, but only the FastGPT container exits continuously with no log output. Cause: The
DB_HOSTenvironment variable is not correctly configured to point to the OceanBase service, leading to database connection failure. - Scenario: When uploading a multi-column feed quotation table using version 4.9.6, some fields cannot be correctly extracted during chunking, and only scattered text remains. Cause: The
Chunk Lengthis not adjusted to a range suitable for table column width, leading to loss of column association relationships during table splitting. - Scenario: After modifying a configuration file locally, changes do not take effect when deploying with Docker. Cause: The image is not rebuilt, or the local configuration file is not mounted to the corresponding path inside the container. This causes the container to use the default image configuration.
How to Confirm Proper Configuration
- Execute the docker compose ps command. Confirm the FastGPT container status is healthy, and that associated database and vector database containers have normal statuses.
- Upload a standard feed quotation document, then review the knowledge base parsing logs to confirm no timeout or parsing failure errors occur.
- Initiate a profitability query request, then verify the returned results include preset fields such as feed category, production area, and unit price, with no missing or abnormal content.
- Modify one configuration parameter and restart the service, then confirm the configuration item displays the modified value in the corresponding location in the backend management interface.
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.