This document is written based on the FastGPT v4.17.0 configuration instructions.
What the data for this category looks like
Core data for this category typically comes from order and size charts, CAD patterns, fabric and accessory inspection records, workshop hanging system data, needle detector logs, and customer sealed sample materials. Daily output documents include process sheets, pattern files, layout plans, cutting orders, first article sample sealing records, process quality tables, and packaging and size matching lists. Data updates are adjusted with each order, each garment style, and each production batch. Fields include size parameters, fabric batch, process requirements, packaging ratio, and other details. There is no fixed unified format, and changes flexibly based on order requirements.
What constraints do these characteristics impose on the forms and interactions link
The data characteristics of this category impose multiple constraints on the forms and interactions link. Since data updates with each order, each garment style, and each production batch, forms must support dynamic binding of exclusive documents and parameters for the corresponding order. Daily document types are diverse, so forms must support multi-format input including text, CAD file links, and tables. Fields must support custom addition to adapt to process requirements and size parameters for different styles. Order numbers and production batches must also be associated to enable data traceability, ensuring that inspection and maintenance records can be traced, and avoiding batch quality issues caused by deviations in size, fabric batch, and other information.
How to set configurations
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
formInput | Bind to the exclusive document library for the current order, single input limit of 800–1200 characters | Data for this category updates dynamically with each order. Limiting input length avoids redundant content, and binding to the exclusive library ensures accurate recall matching current order needs |
userSelect | Pre-set options: "Cutting Machine Inspection", "Sewing Machine Maintenance", "Hanging System Troubleshooting", recall top 3 results | Equipment types for this category are concentrated. Pre-set options simplify user input workflows, and limiting the number of recalled results reduces interference from irrelevant information |
| Maximum Context | 1500–2000 token | Documents for this category include multiple professional contents such as process sheets and layout plans. Sufficient context ensures complete recalled information |
| Single Search Limit | Top 5 results | Data for this category is closely related. Too many recalled results increase user screening costs, limiting the number of results improves interaction efficiency |
| Question Optimization | Calibrated based on actual testing | This category contains a large number of professional process terms. Automatic question optimization improves model recall accuracy |
Three Common Errors
- Repeated input of the same question is required before results are recalled, with no matching content displayed on first input. Cause: The exclusive document library for the current order is not bound, so the recall logic for corresponding data is not triggered on first input.
- After configuring the
userSelectmodule, model options cannot be selected in edit mode, but function normally after publishing. Cause: Edit mode module configurations are not synchronized to the publishing environment. Confirm the saved status of configuration items before publishing. - Voice input conversation prompts an error, and audio processing tools cannot be called normally. Cause: The deployment container does not have the ffmpeg tool installed, and there is no root permission to complete the installation and configuration.
How to Confirm Configuration Success
- Keywords from the process sheet for the corresponding order are entered. Matching document content is verified to be recalled on the first input, confirming that the document library bound by
formInputis active. - A pre-set equipment type option is selected. Recalled results are checked to correspond to inspection and maintenance content for that equipment, confirming that the pre-set options and recall logic for
userSelectwork normally. - Parameter values for maximum context and single search limit are adjusted based on the current order's document length and business needs. Configuration parameters are verified to take effect normally.
- A voice input scenario is simulated. The deployment environment is confirmed to have completed audio processing tool configuration, verifying that the voice interaction function works normally.
The values provided here are common starting points, and should be evaluated against relevant on-site samples.