What data for this category looks like
Aquaculture research report sources include direct aquatic technology promotion institutions under the Ministry of Agriculture and Rural Affairs, industry monitoring data released by provincial and municipal aquatic product stations, professional aquaculture journals, and production logs and market research reports from large-scale aquaculture enterprises. Update cycles vary by content type: industry policy reports are updated quarterly, breeding technology and disease prevention documents are updated monthly, and aquatic seed, feed, and market trend data are updated weekly. Common document structures include breeding environment parameters (water temperature, dissolved oxygen, pH, etc.), seed specifications and stocking density, feed formulas and feeding amounts, disease prevention plans, regional market supply and demand and price trends. Most field units use professional aquaculture measurement units such as ℃, mg/L, kg/mu, individuals per square meter.
What constraints these characteristics impose on deployment and upgrade
These data characteristics create clear constraints for deployment and upgrade workflows: Configure multiple types of data source access rules for multi-source heterogeneous data. Set differentiated scheduled synchronization tasks for content with different update frequencies. Use custom document parsing rules to avoid misinterpretation of complex professional fields and units by general-purpose parsing engines. Adjust timeout and chunking parameters, as long-text and multi-table document structures increase parsing time. Support switching between old parsing templates and new retrieval logic during upgrades, as the span of research report content across different scenarios is large. This avoids fluctuations in retrieval accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Aquaculture research reports often contain long text and complex tables, which require longer parsing time and sufficient reserved time |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Some industry reports include high-definition breeding environment monitoring images and summary data tables, so large file upload support is required |
Chunk Length | 800–1200 characters | Balances the coherence of professional terminology and retrieval accuracy, avoids context window overflow caused by overly long text |
Recall Count | Top 8–10 results | Aquaculture data covers multiple dimensions such as environment, disease, and market, so sufficient entries must be recalled to cover core retrieval needs |
Similarity Threshold | 0.72–0.78 | Filters low-relevance general agricultural content, and accurately matches retrieval requests for exclusive aquaculture scenarios |
Reranked Return Count | Top 3–5 results | Streamlines the final returned results, focusing on core research report content directly related to current breeding decisions |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three common errors
- Phenomenon: The knowledge base indexing process gets stuck at over 90% progress with no clear error log. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the parsing timeout of large aquaculture research report files was forcibly terminated. - Phenomenon: After switching applications, a prompt still indicates that required global variables are not filled, and the verification logic returns to normal after page refresh. Cause: The global variable cache of the old application was not cleared, and environment variable configurations were not reset when deploying across applications.
- Phenomenon: After modifying the Docker deployment configuration file, the new parsing rules do not take effect. Cause: The corresponding Docker container was not restarted, so the configuration changes were not loaded by the system.
How to confirm configuration is complete
Upload a single aquaculture research report file of approximately 1000 MB, check whether parsing progress completes within the preset timeout period, and confirm the timeout configuration is effective. Initiate a retrieval request containing aquaculture professional terminology, verify that the number and relevance of recall results match preset rules. Switch between different applications, check that global variable verification logic only applies to the current application, with no cross-application residual verification prompts. Restart the corresponding service container, check that parameters in the configuration file match preset values, and confirm configuration loads normally.
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.