What the data for this category looks like
Commercial vehicle research report data mainly comes from industry association announcements, official technical documents from original equipment manufacturers, and third-party commercial vehicle research institution reports. It is one of the core reference materials for investment research at financial institutions. The data update rhythm varies by source: official technical documents from original equipment manufacturers are updated in real time with vehicle iterations, industry associations release monthly sales data, and quarterly research reports focus on market trends. Most documents are in PDF or Word format, containing modules such as vehicle parameter tables, sales trend charts, policy interpretations, and supply chain analysis. Core fields include curb weight (kg), maximum load capacity (t), fuel consumption per 100 kilometers (L/100km), engine torque (N·m), monthly sales volume (units), etc. Some documents include high-definition charts and formula derivations.
What constraints do these characteristics impose on the workflow orchestration link
Multi-source data requires configuring multiple data source access nodes, with different pull frequencies and permission verification rules set separately. Data sources with different update rhythms may cause conflicts in data synchronization tasks, so scheduled task nodes must be used to stagger pull windows. Professional fields and units require configuring field mapping rules in the workflow to avoid unit confusion or parameter misalignment during retrieval. Long documents and dense professional terms require adjusting segment parsing and recall parameters to prevent parsing failures caused by overly long segments, or excessive irrelevant content being recalled to interfere with retrieval results.
How to set the configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
PARSE_DOCUMENT_CHUNK_SIZE | 800–1200 characters | Commercial vehicle research reports contain a large number of parameter tables and long professional descriptions. Too short a segment will split the logical connection of parameters, while too long a segment will increase recall redundancy |
RECALL_TOP_K | Top 10–15 results | Commercial vehicle research reports have dense professional terms. Too many recalled results will introduce irrelevant content, while too few will miss key operating parameters |
WORKFLOW_TIMEOUT | 600 seconds | Pulling data from multiple sources and parsing long documents may take a long time; this avoids premature timeout interruptions |
SUB_WORKFLOW_INVOKE_MODE | Synchronous invocation | Commercial vehicle research report retrieval requires waiting for the sub-workflow to complete field mapping before returning results. Asynchronous invocation will result in incomplete data |
TEMPERATURE | 0.1–0.3 | Research report retrieval requires accurate matching of parameters and original text content. Excessive divergence will cause retrieval results to deviate from the topic |
API_REQUEST_MAX_DURATION | 200 seconds | Avoid exceeding the timeout threshold for non-streaming requests, adapting to the execution duration of complex multi-step workflows |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, 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 mistakes
- Phenomenon: In variable reference configurations, the temperature setting button disappears and cannot be adjusted. Cause: The "Custom Parameters" switch is not enabled in the workflow's large model node, and parameter configuration items are hidden by default in variable reference mode.
- Phenomenon: After calling the workflow via the interface, the running data fields in the conversation log are empty. Cause: "Output Parameter Mapping" is not configured in the called workflow, so the upstream workflow cannot receive the returned retrieval result data.
- Phenomenon: When workflow A calls workflow B, B terminates just before reaching the specified reply node. Cause: No "End Node" is configured in workflow B, or the "Wait for sub-workflow to complete" option is not enabled during the call, causing the upstream workflow to truncate execution prematurely.
How to confirm the configuration is correct
- Trigger a test workflow, view the parsed document segments, and check whether the segment length meets business requirements.
- Call the interface and view the returned running logs, confirm that pull records and field mapping results for all data sources have been generated.
- Verify the sub-workflow invocation scenario, confirm that the upstream workflow can fully receive the return data from the sub-workflow.
- Adjust the temperature parameter and initiate a test, check whether the generated reply maintains a professional and rigorous retrieval style.
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.