What the data for this category looks like
Special steel related data mainly comes from production management systems, quality inspection department submission ledgers, sales inquiry records and inventory management modules. Production data is updated daily. Inventory data is synchronized every 4 hours. Customer inquiry records are logged in real time. The main presentation format is structured tables, including fields such as steel grade, nominal size (unit mm), delivery condition, mechanical performance indicators (unit MPa), application scenarios, inventory surplus (unit tons), and some PDF attachments of supporting technical parameters.
What constraints these characteristics impose on workflow orchestration
Heterogeneous multiple data sources require workflow configurations to pull nodes across systems. Different data update frequencies require adaptation via scheduled or real-time trigger rules. Structured fields have clear physical units. Unit verification logic must be configured in the data cleaning node to avoid content errors caused by mixed units from different sources. Supporting PDF technical attachments have long text parameters. A dedicated document parsing node must be configured to extract structured parameters. Marketing content needs to associate real-time inventory and customer inquiry data. Branch process trigger conditions must be set to generate differentiated marketing materials based on real-time data.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_PDF_TIMEOUT | 300 seconds | Special steel supporting PDF technical documents usually do not exceed 10 pages, and 300 seconds can complete complete parameter extraction |
REDIS_URL | redis://:{custom password}@{server IP}:6379/0 | Used to cache temporarily generated marketing materials and session data to ensure workflow state synchronization |
rag_recall_top_k | Top 8 entries | Special steel technical parameters require precise matching, too many recalls will lead to redundant marketing content that deviates from requirements |
workflow_trigger_mode | Mixed trigger | Adapt to the rhythm of daily production data updates and every 4-hour inventory data updates, combining scheduled and real-time triggers |
data_clean_unit_check | Enabled | Special steel data contains multiple units such as mm, MPa, and tons. Verification can avoid mixed units from different sources |
sub_workflow_global_var_sync | Enabled | Marketing content generation requires sharing global data such as inventory and customer inquiries across sub-workflows |
The parameter values provided on this page are all common recommendations used as 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: No knowledge base reference option appears in the variable dropdown menu of code running nodes. Cause: The target knowledge base is not bound in the workflow global settings, or the association permission between the knowledge base and workflow is not enabled.
- Phenomenon: Nested sub-workflows cannot read the global variables of the outer process, making it impossible for marketing content to associate real-time inventory data. Cause: The
sub_workflow_global_var_syncconfiguration item is not enabled, or the reference path of the global variable is not declared in the sub-workflow. - Phenomenon: The number of RAG recall results exceeds expectations, and it is impossible to output only the first matching technical parameter. Cause: The
rag_recall_top_kconfiguration is not set toTop 1 entry, or a result interception filter rule is not added to the node.
How to confirm the configuration is complete
- Enter the workflow test panel, upload a special steel PDF technical document, and verify whether the parsing node can correctly extract core fields such as steel grade and size.
- Manually trigger the workflow once, check whether the variable selection panel can pull the bound knowledge base content, and confirm that the variable call function works properly.
- Configure a test inventory data trigger condition to simulate changes in inventory surplus, and verify whether the workflow will trigger the corresponding branch process.
- View the workflow running logs, confirm that global variables can be properly synchronized between the main process and sub-workflows, with no data loss or format 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.