What Data for This Category Looks Like
Data comes from CAD construction drawings for telecommunications engineering sections, daily inspection Word records, monthly material Excel ledgers, and on-site acceptance PDF reports. Data covers all process nodes across the full project lifecycle. Update rhythm adjusts based on project progress. Core fields include section number, process type, equipment rated parameters, construction duration, and acceptance status. Units include meters, kilovolts, man-hours, tons and other engineering-specific units. A single inspection record document can reach 100,000 words. Some material ledgers contain 15,000+ rows of data.
Constraints for Workflow Orchestration
Large single-document word counts and high data row counts require workflows to support large file chunked loading and multi-turn conversation context truncation. This avoids memory overflow. Specialized engineering fields and units require workflows to include parameter validation nodes. These nodes check unit matching for input fields such as equipment parameters and construction duration. Multi-section associated data structures require workflows to set up data grouping nodes. These nodes split data by section number for separate processing. Dynamically updated data over the project cycle requires workflows to bind real-time data sources. Workflows trigger execution based on project nodes.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to chunked loading of 100,000-word inspection documents, avoids excessive single chunk data causing timeouts |
| Single Processing Row Count | First 1000 rows | Adapts to 15,000+ row Excel material ledgers, avoids exceeding single-run data load limits |
| Multi-turn Conversation Truncation Rule | Retain only the last question-and-answer content | Meets the requirement for workflow multi-group AI question-and-answer to only return final results |
variables binding | Associate with project section ID and material ledger path | Enables automatic updates of dynamic data sources, matches project phased data rhythm |
| Node Timeout Duration | 600 seconds | Adapts to time requirements for large file processing and multi-group question-and-answer, complies with FastGPT v4.17.0 node configuration rules |
| File Generation Reference Switch | Turn off global reference flag | Meets the requirement to remove reference content from generated files |
Three Common Mistakes
- Phenomenon: Memory overflow error occurs when a workflow processes a 100,000-word Word document. Cause: Large file chunked loading is not configured, so single batch data load exceeds the system upper limit.
- Phenomenon: Generated files retain source data reference markers. Cause: The file generation global reference switch is not enabled or not correctly turned off.
- Phenomenon: Code running nodes have no printed output, and information cannot be viewed during separate debugging. Cause: The log panel corresponding to the
nodeIdis not associated, or real-time output configuration for node logs is not enabled.
How to Confirm Proper Configuration
- Upload a single 100,000-word Word document, trigger the workflow, and check the chunked loading progress to confirm the number of chunks meets expectations.
- Import 15,000+ row Excel data, run the workflow, and check the processed row count to confirm no data truncation occurs.
- Run the code node, enter the log panel corresponding to the
nodeIdto check whether printed information is output normally. - After generating the target file, check the content to confirm that reference markers have been removed.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.