What Data for This Category Looks Like
This category of data originates from the daily work output of manufacturing enterprise IPQC, FQC, quality engineering, and laboratory teams. It includes documents such as control plans, patrol inspection records, SPC reports, finished product inspection reports, non-conforming product review forms, release forms, and quality monthly reports. Data sources cover MES systems, online inspection equipment, laboratory instruments, process parameter libraries, customer standard libraries, and historical defect libraries. Updates are collected continuously after each production batch and each shift patrol inspection. The core fields of document structure are standardized inspection items, abnormal records, and judgment conclusions. Field units are adjusted based on specific inspection items and types of testing equipment.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The multi-source heterogeneity of this category of data requires multi-turn dialogue to adapt to document content in varying formats. Prompts must clearly distinguish the judgment boundary between work-in-progress inspection and finished product release. Frequently updated real-time data requires limiting the effective duration of dialogue context, to prevent expired patrol inspection records or SPC reports from interfering with current judgments. Standardized inspection items and historical defect libraries must use prompts to fix retrieval dimensions, ensuring accurate association of inspection data for the corresponding batch during multi-turn dialogue. The permission association for non-conforming product review and release also requires clearly transmitting the unique identifier of the current batch in dialogue, to avoid confusion across batches.
How to Configure the System
The following configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the length of single inspection items and abnormal records in standardized documents of this category, avoiding truncation of critical judgment information during chunking |
| Single Recap Limit | Top 6 entries | Matches the number of core documents related to single-batch inspection in this category, reducing redundant data interference with dialogue context |
| Context Window | 3000–4000 tokens | Covers complete inspection records, process parameters, and historical defect data for a single batch, ensuring information integrity during multi-turn dialogue |
messages Context Truncation Threshold | Calibrated via actual testing | Adapts to frequently updated real-time data in this category, avoiding expired historical records from occupying valid context |
| Question Optimization Switch | Enabled | Quickly converts colloquial inspection questions into standard retrieval keywords for this category, improving recall accuracy |
variables Variable Binding | Bind batch number, inspection type | Ensures accurate association with exclusive data for the current production batch during multi-turn dialogue, avoiding cross-batch confusion |
Three Common Misconfigurations
- Symptom: Loading timeout occurs when parsing a 10+ MB Word document, and the interface displays the "Request Timed Out" status code. Cause: Chunking parameters were not adjusted for this category of long documents, resulting in oversized single chunks and excessive time consumption for parsing and recall processes.
- Symptom: After enabling the input guide and configuring a custom thesaurus, an error prompt pops up in the debug preview interface, displaying "Parameter Format Error". Cause: The custom thesaurus was not configured according to the keyword format of inspection items and release processes for this category, resulting in the system being unable to correctly parse the thesaurus content.
- Symptom: Context is lost during multi-turn dialogue, and subsequent questions cannot associate previous batch number information. Cause: The
chatIdparameter was not correctly configured, causing each question to be recognized as an independent session and unable to retain historical dialogue context.
How to Verify Proper Configuration
- Upload the finished product inspection report and SPC report for a single batch, verify that the parsed chunked content fully covers inspection items and abnormal records.
- Initiate multi-turn questions that include a batch number, verify that subsequent questions can associate previous batch information without context loss.
- Adjust the chunk length parameter, re-upload the long document, compare changes in parsing time to confirm the parameter takes effect.
- After enabling the question optimization switch, enter a colloquial inspection question, verify that retrieval keywords automatically match standard inspection items for this category.
The values provided here are common starting points, and should be evaluated against the user's own samples.