Cross-Review of Technical Documentation for Plastic Injection Molding: Multi-Turn Dialogue and Prompt Engineering

This category primarily covers enterprises producing injection molded parts, automotive interior components, home appliance parts, and medical plastic

What Data for This Category Looks Like

This category primarily covers enterprises producing injection molded parts, automotive interior components, home appliance parts, and medical plastic products. Daily generated documents include injection molding process cards, raw material drying records, mold histories, first-piece inspection reports, patrol inspection logs, and material change and machine cleaning records. Data sources include resin batch property sheets, injection molding machine operating parameters, mold temperature controller data, MES system records, and dimensional and appearance inspection results. The system updates data after each production batch, each mold or material change, and each shift’s patrol inspection. Document fields include melt index, shrinkage parameters, injection pressure, holding time, drying temperature, and similar metrics, with standard units of grams per 10 minutes, megapascals, seconds, and degrees Celsius.

Constraints Imposed by These Characteristics on Multi-Turn Dialogue and Prompt Engineering

Frequent data updates and batch-based data isolation require strict context scope limits in multi-turn dialogue, to avoid mixing invalid data from historical batches. Multiple document types and scattered professional fields mean prompts must clearly specify target document categories and field ranges for retrieval, preventing matches to irrelevant mold histories or patrol logs. Data sources span equipment, systems, and inspection results, so multi-turn dialogue must bind current production batch-specific parameters via variables to ensure cross-review accuracy. Errors can lead to mass defective products, mold damage, or safety incidents, so multi-turn dialogue must include a verification step to confirm parameter alignment with current production conditions in each turn.

Configuration Guidelines

The following configurations apply to FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
Maximum Context Length8000 characters or the first 10 dialogue turnsInjection molding data updates frequently, to avoid interference from old batch data during current review
Single Search LimitTop 6 matching resultsDaily document volume is high, to avoid redundant results distracting from core content
variablesPreset current resin batch number, mold ID, production shiftQuickly locate process cards and inspection records for the target batch
messagesAppend the latest 2000 characters of context per dialogue turnRetain core parameters for the current review, preventing context truncation from excessive length
Question Optimization ToggleEnabledMany injection molding professional terms are used, and optimization improves knowledge base matching accuracy
Dialogue Opening PresetPreset 3 related questionsHelp engineers quickly focus on core processes such as filling and holding pressure, raw material drying

Three Common Misconfigurations

  • A chat window displays an interface error prompt. Log checks show the chatId field is empty. This occurs when session persistence logic for multi-turn dialogue is not correctly configured after an upgrade, preventing normal session binding.
  • Uploading process cards or inspection records fails, but template import works normally. This happens when access permissions for the specified dataset are not correctly bound in variables, leaving the target dataset’s upload interface inactive.
  • Cross-review results returned by the dialogue do not match the current batch’s resin property sheet. This occurs when the prompt does not limit retrieval to documents from the current batch, resulting in matches to invalid data from historical batches.

How to Verify Proper Configuration

  • Initiate a test dialogue, enter the current batch’s resin model, and confirm the returned results include the corresponding resin’s property sheet data.
  • Upload a new material change and machine cleaning record, check that the dialogue context retains the record’s key parameters, with no unexpected truncation.
  • Trigger a multi-turn follow-up question, confirm the messages parameter correctly appends dialogue content from each turn, meeting the preset context length requirements.
  • View the chat window’s initial interface, confirm the preset related questions are displayed normally.

The values provided are common starting points and should be evaluated against the reader’s own samples.