What the data for this category looks like
Data sources for carbon steel research reports include public industry research content, bulk commodity spot trading data, and regular public announcements from steel enterprises. Update cadence has tiered schedules:
- Spot price data updates daily
- Regular supply and demand weekly reports update every 7 days
- In-depth special topic reports release according to project timelines
Document structures typically include three modules: core indicators, supply and demand analysis, and policy impact. Fields include crude steel output, steel ex-factory prices, raw material import volumes, and more. Some reports include regional market segment data. All core indicators follow clear unit specifications.
What constraints these characteristics impose on workflow orchestration
Carbon steel research reports mix high-frequency spot data and low-frequency special topic content. Workflows must configure trigger nodes that distinguish update cycles for different data sources. Fields follow clear unit and segment dimension requirements. Workflows must add data validation steps to filter retrieval results that do not meet unit specifications or lack core dimensions. Individual reports have lengthy content. Workflows must support segmented parsing configurations to avoid context overflow. The presence of regional segment data requires workflows to support targeted retrieval based on geographic tags, ensuring retrieval results align with specific application scenarios.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Recall Count | 10–15 items | Core information for carbon steel research reports is spread across multiple documents. This value range covers core supply and demand, price, and policy-related content |
| Segmented Length | 800–1200 characters | Core segmented data from carbon steel research reports (such as price trends, output analysis) typically falls within this range. This balances context utilization and parsing accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing time for individual in-depth carbon steel research reports is typically long. 300 seconds covers the parsing process for most long documents |
| Variable Fallback Switch | Enabled | When the specified variable fails to retrieve carbon steel-related parameters, the plugin's default industry-general configuration is automatically called to adapt to non-standard input scenarios |
| Batch Execution Concurrency Count | 2–4 | Carbon steel research report data sources are mostly public APIs or local documents. Excessively high concurrency can trigger access restrictions. This value range ensures execution efficiency while avoiding rate limiting |
| Long Text Generation Threshold | 5000 characters | Summary analysis of carbon steel research reports usually requires integrating multi-dimensional data. This threshold triggers a segmented generation process to avoid output truncation |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: When calling the knowledge base to retrieve carbon steel research reports, the returned results include a large number of non-carbon steel industry documents, or a "no matching results" prompt is shown. Cause: No category tag filtering rules are configured in the retrieval node, or uploaded carbon steel research reports are not assigned corresponding classification tags, leading to deviation in retrieval scope.
- Phenomenon: When executing carbon steel research report summary tasks in batches, some node parameters fail to obtain variable values as expected, and default configurations are used directly. Cause: The Variable Fallback Switch is not enabled, or the specified variable name does not match the variable name defined in the workflow, leading to variable acquisition failure.
- Phenomenon: When parsing multiple carbon steel research reports in batches, tasks frequently fail and return a 429 status code. Cause: The batch execution concurrency count is set too high, triggering access rate limiting rules for data sources or public APIs.
How to confirm correct configuration
- Manually upload a research report tagged with the carbon steel category, run the retrieval node, and check whether the coverage of returned results meets expectations.
- Trigger a workflow with variable parameters, view execution logs, and confirm that plugin parameters first call the specified variable, and call the default configuration when the variable is not obtained.
- Run a long text generation task, check the completeness of the output content, and confirm that no truncation occurs.
- Adjust the batch execution concurrency configuration, run multi-task tests, and confirm that access restriction-related error reports are not triggered.
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.