What the data for this category looks like
Core data sources for this category include MES systems, online testing equipment, laboratory reports, process parameter documents, customer quality standards, and historical defect databases. Data is updated either in real time per production batch or per shift, or continuously synchronized with process and standard changes. Daily generated documents include control plans, patrol inspection records, SPC reports, finished product inspection reports, nonconforming product review forms, release forms, and quality monthly reports. Fields include inspection batch number, deviation value, nonconformance level, release threshold, detection timestamp, and more. Units include ppm, hours, batch numbers, seconds, and more.
What constraints do these characteristics impose on the "source citation and traceability" link
Multi-source heterogeneous data structures require the traceability process to accurately match document types and fields, to avoid mixing cross-type data. The per-batch or per-shift update feature requires traceability to bind to the context of the current production task. Otherwise, irrelevant historical data will be introduced. Long documents such as SPC reports and quality monthly reports require traceability to support complete content display, without arbitrary truncation. Compliance requirements for quality audits also require traceability to link to original approval and testing records, rather than relying solely on general summaries.
How to configure the setup
This configuration is based on FastGPT v4.17.0, adapted to the scenario requirements of in-process quality and finished product release.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Citation Token Count | Set quoteMaxToken to 800–1200 tokens | Matches the average length of a single quality document, avoiding truncation of critical inspection data |
| Associated Data Return Toggle | Set responseData to enabled | Links original record fields from MES and testing equipment to support traceability |
| Detail Display Level | Set detail to full | Displays the complete approval chain for nonconforming product reviews to meet compliance requirements |
| Data Source Filtering Rules | Filter by current production batch | Matches the per-batch update data characteristics, preventing irrelevant cross-batch data from being included |
| Citation Display Toggle | Display only verified sources | Focuses on valid documents required for release audits, reducing interference |
| Context Cache Duration | Calibrated via actual testing (10–30 minutes) | Adapts to the per-shift or per-batch update rhythm, avoiding cache expiration or redundancy |
Three common misconfigurations
- Phenomenon: The citation traceability link returns a 500 status code, or associated testing data fields are empty. Cause: Data source filtering by production batch is not configured, leading to cross-batch data conflicts that trigger verification failures.
- Phenomenon: Historical defect data not linked to the current production task appears in responses. Cause: The
responseDataassociation toggle is not enabled, so only general knowledge base content is returned, and real-time production data is not bound. - Phenomenon: Cited control plan content is truncated, making complete inspection thresholds unviewable. Cause: The
quoteMaxTokensetting is too low, truncating critical configuration information from long documents.
How to confirm proper configuration
- Generate a test request for a finished product release audit, and check whether the response links to documents such as current batch patrol inspection records and SPC reports.
- Click the citation markers in the response, and confirm that the original file or field details of the corresponding data source can be opened after jumping.
- Adjust the
quoteMaxTokenparameter, and verify that the cited content of long documents is fully displayed without truncation. - Turn off data source filtering for non-current batches, and confirm that irrelevant historical batch data does not appear in responses.
The values provided are common starting points and should be measured against the reader's own samples.