What the Data for This Category Looks Like
Water treatment research report data primarily comes from financial institutions’ environmental industry research report databases, special reports released by securities firm research institutes, and public monitoring data from environmental monitoring agencies. There are two update schedules: regular environmental industry research reports are updated quarterly, while special analysis reports for large water treatment projects are released on demand. Document structures include fields such as project revenue forecasts, cost structures, policy impacts, core water quality indicators, and treatment scale. Most indicator units are ten thousand yuan/ton, m³/d, and %. Some cross-regional reports have inconsistent unit labeling.
What Constraints Do These Characteristics Impose on Workflow Orchestration?
The professional indicators and unit differences in water treatment research reports require field standardization processing nodes in the workflow to avoid data comparison confusion during financial analysis. Research reports with different update frequencies need matching scheduled trigger rules to ensure retrieved data is the latest quarterly or special reports, supporting investment analysis and decision-making. The professional parameter density of a single research report is high. Too long text segmentation breaks parameter relevance, while too short segmentation increases node executions and raises workflow operating costs. The recall volume of professional indicators must be strictly controlled to avoid total token exceeding model limits and affecting analysis efficiency.
Configuration Settings
| Configuration Item | Recommended Approach | Basis for This Setting |
|---|---|---|
maxRecall | Top 30 entries | The professional indicator density of water treatment research reports is high; excessive recall causes total token overflow |
rerankTopN | Top 10 entries | Retain professional parameters most relevant to the retrieval requirement, filter irrelevant monitoring point data |
chunkSize | 800–1200 characters | Process paragraphs of water treatment research reports are mostly compact professional descriptions; this segmentation length preserves parameter relevance |
cron Trigger Cycle | 0 0 2 1 * ? | Matches the update schedule of quarterly research reports on the 1st of each month, ensuring data synchronization triggers at 2 AM daily |
Reference Limit | Calibrated based on actual testing | Core parameters of a single water treatment research report are concentrated in the first 3-5 pages; adjust in combination with chunkSize to avoid token limit exceedance |
Field Extraction - Unit Mapping | Automatically convert to ten thousand yuan/ton, m³/d | Unify unit formats across different source reports to improve readability for financial analysis |
The parameter values provided on this page are 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, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After importing a workflow JSON shared by others, the text processing node does not appear in the list of available nodes. Cause: The local environment does not have the corresponding plugin dependencies installed, or the plugin version used by the workflow is inconsistent with the local version.
- Symptom: After setting the
Reference Limitto 2000, the token count of the generated response exceeds the model limit. Cause: A single recalled entry from water treatment research reports contains a large number of professional parameters and units, and failure to combinechunkSizerestrictions causes total token to exceed the threshold. - Symptom: The workflow does not execute automatically after the conversation window opens, and manual triggering is required to start answering. Cause: The workflow is not configured with a conversation initialization trigger rule, or the trigger node is not bound to the conversation launch event.
How to Verify Proper Configuration
- Upload a local water treatment research report, and check whether the
Field Extractionnode correctly identifies professional fields such as revenue forecasts and treatment scale. - Trigger the workflow once, and check whether the number of knowledge base recall results matches the
maxRecallsetting. - Check whether the cron expression of the scheduled task matches the update schedule of the research report. Manual triggering can be used to test the synchronization logic.
- View the workflow execution logs to confirm there are no token overflow or node execution failure errors.
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.