What This Category's Data Looks Like
This category's data primarily comes from order design systems, sheet material and wood batch ledgers, CNC cutting and drilling equipment, ERP/MES systems, and moisture content testing equipment. Data update frequency aligns with order changes, daily cycles, or each material batch. Daily documents include order disassembly drawings, cutting lists, edge banding and drilling programs, coating process documents, hardware material lists, trial assembly and packaging records. Fields cover panel dimensions, sheet material batch numbers, process parameters, hardware models, and more. Units include millimeters, cubic meters, pieces, and others.
What Constraints These Characteristics Impose on Workflow Orchestration
The custom order-driven business model requires process data to match personalized designs, and precise association with parameters for each sheet material and panel piece is necessary. The number of panel pieces is large and document volume is significant; processing large-volume documents requires adapting to splitting logic. Data updates with orders, batches, or daily cycles, so workflows must support real-time synchronization of the latest ledgers and process documents. Errors such as incorrect panel dimensions or color differences directly impact delivery, so workflows must strengthen result verification links to prevent non-compliant parameters from entering production stages.
How to Set Configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the single-section content length of cutting lists and process documents, avoids including cross-page logic in a single chunk |
| Overlap Length | 50–100 characters | Retains contextual association between chunks, ensures coherence of process steps |
variables | Bind sheet material and hardware parameters from the current order | Ensures parameters called by Q&A match the current production batch |
nodeId | Bind unique identifiers for corresponding process links | Accurately matches workflow nodes with actual production steps |
| Single Q&A Upper Limit | Top 3 entries | Matches the core parameter scope of single-batch production, avoids interference from redundant information |
| Error Retry Count | 2 times | Balances response speed and Q&A success rate, avoids long-term workflow blocking |
Three Common Misconfigurations
- Phenomenon: A loop nesting error occurs during workflow execution, and the status code returns an invalid parameter. Cause: The trigger conditions for multi-layer loops were not configured according to FastGPT v4.17.0 rules, resulting in the nesting level exceeding the limit.
- Phenomenon: After importing a 100,000-character Chinese Word document or a 15,000-row Excel document, field missing occurs in Q&A results. Cause: No reasonable chunk length was set, causing long documents to be incorrectly split and key process parameters to be lost.
- Phenomenon: The multi-turn Q&A results generated by the workflow include all historical responses, instead of only returning the last answer. Cause: The context retention count was not configured correctly, or the rule to only output the current node's results was not set in the node.
How to Confirm Proper Configuration
- Upload a single 100,000-character Chinese process document, check whether the content split by the workflow retains key panel dimension parameters completely.
- Trigger a multi-turn Q&A process, verify that only the reply from the last node is output, and no historical context is mixed into the final result.
- After configuring the loop body, run a nesting test to confirm that there are no invalid parameter errors and the loop logic triggers normally.
- View the reference markers of generated files, confirm that the output of additional reference content has been disabled.
The values provided here are common starting points, and should be measured against the reader's own samples.