What Data for This Category Looks Like
Business data for the apparel cutting and sewing category originates from orders and size charts, CAD patterns, raw material and accessory inspection records, hanging systems, needle detector machine data, and customer sealed samples. Daily retained documents include process sheets, pattern files, layout plans, cutting orders, first article sealed samples, process quality forms, and packaging size matching lists. Data updates follow the rhythm of each order, each style, and each batch. Field differences across different styles are significant, including version parameters, fabric specifications, process requirements, packaging ratios, and other content. There is no unified, fixed general field structure.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
High-frequency multi-turn dialogue scenarios for this category require combining exclusive document content from different batches. The scope of context association must be limited to avoid mixing data from other styles. The update rhythm of each order and style requires that dialogue context can quickly switch to the corresponding batch of documents. It must also adapt to non-standardized document fields. Prompts must guide dialogue to focus on process and equipment issues for the current order. The irreversible business characteristic of fabric cut pieces requires that equipment inspection Q&A accurately match process parameters. Multi-turn dialogue must avoid subsequent errors caused by parameter deviations. It must also adapt to labor-intensive manual process scenarios and simplify the explanation logic of complex terminology.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Length | 8000–12000 characters | Adapts to the total content of multiple documents such as process sheets and layout plans included in a single order |
| Question Optimization Switch | Enabled | Converts non-standardized spoken questions about equipment inspection into structured query instructions |
chatId Binding Rule | Bind to current order number | Ensures multi-turn dialogue only associates exclusive documents and historical records for the corresponding order |
messages Context Retention Rounds | Last 3 conversation turns | Reduces interference from cross-order historical data, focusing on equipment issues for the current session |
variables Injected Content | Inject current order size chart and process sheet number | Allows dialogue to directly call exclusive business data for the corresponding batch |
| Single Match Result Limit | Top 4 entries | Adapts to the structure of multiple small-batch documents for this category, avoiding interference from irrelevant data in queries |
Three Common Misconfigurations
- Phenomenon: Cross-order document content appears in multi-turn dialogue, and returned results are unrelated to the current order. Cause: The
chatIdis not bound to the corresponding order number, and context mixes business data from other batches. - Phenomenon: Multi-turn follow-up questions and progressive questioning cannot be implemented in the workflow. Only single-turn questioning is supported. Cause: The
messagescontext retention logic is not configured. Each session only transmits a single question, and historical conversation status is not retained. - Phenomenon: User historical conversation records cannot be saved in login-free scenarios. Cause: No user unique identifier is injected via
variables, and the conversation is not associated with user identity. This results in inability to save session data.
How to Verify Successful Configuration
- Enter an equipment inspection question for the current order. Check whether the returned results only include content related to the current order’s process sheet and layout plan.
- Initiate two consecutive equipment maintenance questions. Confirm that the dialogue context retains the previous round’s question and answer content.
- Switch to a session for another order. Confirm that the dialogue context automatically switches to the exclusive data for that order.
- Check that the
chatIdbinding,messagescontext retention rules, and order identifier injected viavariablesare configured in the configuration items.
The values provided here are common starting points and should be evaluated against the reader’s own samples.