What this type of data looks like
Aquaculture investment research data mainly comes from real-time monitoring systems of aquaculture farms, test reports from aquatic scientific research institutes, fishery administration inspection ledgers, and monthly briefings from industry associations. The update rhythm varies significantly: production data such as water quality and feeding volume is updated hourly, variety yield and disease statistics are updated monthly, and industry policies and market trends are updated in real time. Documents include two categories: structured tables and semi-structured research reports. Core fields include dissolved oxygen (unit: mg/L), water temperature (unit: ℃), feeding amount (unit: kg/mu), aquaculture species, and disease detection number. Some documents include satellite remote sensing images of aquaculture water areas.
Constraints imposed on citation source and traceability links by these characteristics
The multi-tempo update cycle of aquaculture data requires the traceability chain to distinguish different generation paths for hourly production data, monthly statistical data, and real-time market data, to avoid traceability confusion across cycles. The large number of structured fields with unique units requires traceability information to be bound to the collection equipment, detection batch, and measurement unit of specific fields, ensuring that the data generation logic can be restored when citing. Documents with remote sensing images require additional traceability of the image capture time, processing tools, and annotation process, to ensure the verifiability of image citations. Industry association briefing documents need to be associated with the publishing organization and release time, to ensure that traceability information covers complete source information for unstructured reports.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
Recall Count | Top 8–12 entries | Aquaculture data has many fields and updates frequently. Too many recalls will increase the complexity of the traceability chain, while too few will fail to cover core investment research data |
Similarity Threshold | 0.72–0.80 | Structured aquaculture data has clear characteristics. A threshold that is too low will introduce irrelevant monitoring records, while a threshold that is too high will miss associated data from the same batch of culture ponds |
Reranked Return Count | Top 4–6 entries | Prioritize returning the most matching core data to avoid spreading traceability efforts across too many low-relevance documents |
Citation Display Toggle | Enabled | Aquaculture data often comes with unique units and batch information. The release time and collection equipment of the source document need to be clearly displayed |
Context Window Limit | 8000–12000 token | Traceability information for a single piece of aquaculture data includes additional fields such as device ID and detection time. Sufficient window space is required to carry complete traceability content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing some remote sensing image documents takes a long time. The timeout period needs to be extended to ensure complete extraction of traceability information |
The parameter values provided on this page are common starting points for configuration. The 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 the settings.
Three Common Configuration Mistakes
- Phenomenon: Citation sources are not displayed on the officially released chat page, but are displayed normally on the debug page. Cause: The
Citation Display Toggleconfiguration item is not enabled, or the setting is not synchronized and enabled during release. - Phenomenon: Aquaculture data results from workflow execution cannot be used as background knowledge input for subsequent conversation modules. Cause: The output fields of the execution node are not mapped to the background knowledge input port of the knowledge base, and the associated fields corresponding to the traceability information are not bound.
- Phenomenon: After setting
Recall Countto 2000, the token count of a single reply exceeds the threshold. Cause: Aquaculture data has many structured fields, and the traceability information of a single recalled document includes additional content such as device ID, detection time, and measurement unit. Recalling 2000 entries will generate excessive token consumption.
How to Confirm Configuration is Complete
- Enter the officially released chat page, initiate a query involving aquaculture data, and check whether relevant information of the source document is displayed at the end of the reply.
- View the knowledge base configuration panel, confirm that the
Citation Display Toggleis enabled, and verify that the settings forRecall CountandSimilarity Thresholdmeet business needs. - Initiate a query involving historical aquaculture data, check whether the traceability information includes exclusive fields such as collection device ID and detection time, and confirm that it matches the information in the original document.
- Test the output mapping of workflow nodes, confirm that the fields of the execution result are associated with the background knowledge input port, and relevant traceability information can be called in subsequent conversations.
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.