What this category of data looks like
Data for this category originates from various business documents of automotive parts suppliers across braking, steering, chassis and other segments. These documents include control plans, process flowcharts, work instructions, first article inspection records, SPC reports, PPAP documents, and 8D reports. Data sources cover customer drawings, special characteristic lists, ERP/MES systems, measuring tool data, equipment process parameters, and supplier quality certificates. Updates happen per production batch, per shift inspection, and through continuous collection of equipment parameters. Fields include part number, special characteristic value, process parameters, test results, and batch number. Most units are engineering standard units such as millimeters, newton meters, and seconds.
What constraints do these characteristics place on the citation sourcing and traceability link?
The multi-source heterogeneous documents and high-frequency update properties of this category require citation traceability to cover business files in different formats and real-time production data, and accurately match the association between customer special characteristics and process parameters. The high-frequency updates of mass production require traceability data to be bound to batch numbers, ensuring every citation can be traced back to the original records of the corresponding production batch. Subject to strict constraints from vehicle customers, citation sources must clearly mark document types and submission nodes to meet quality system audit traceability requirements. Irrelevant data must also be filtered to avoid mixing records from non-target batches into traceability results, ensuring audit results align with vehicle manufacturer quality standards.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Adapts to FastGPT v4.17.0’s token calculation rules, matches the average length of core documents for this category such as control plans and SPC reports, and ensures complete citation of key business information |
| Single search limit | Top 6 results | Covers retrieval results from multi-source heterogeneous data while avoiding redundant content that impacts audit efficiency |
detail | Enabled | Returns complete fields, batch numbers, and submission nodes of cited documents, meeting the traceability requirements of vehicle customer quality systems |
responseData | Structured with batch identifiers | Binds the association between production batches and original records, facilitating quick tracing of sources for abnormal batches |
| Similarity threshold | Calibrated via actual testing | Adapts to the precise matching requirements of special characteristics for this category, avoiding mismatched parameter records from non-target processes |
Three common configuration errors
- Phenomenon: Cited content returned after setting
quoteMaxTokenis truncated incompletely, or key batch information is lost after exceeding the threshold. Cause: The parameter was not adjusted based on the actual length of documents in this category, and the default value cannot cover the full content of control plans or PPAP documents. - Phenomenon: Mixed retrieval returns equipment parameters or supplier quality certificates from non-target batches, and filtered results do not match actual needs. Cause: No targeted similarity threshold was configured, or batch number was not bound as a filtering condition, leading to irrelevant data being mixed into traceability results.
- Phenomenon: An error is triggered when referencing knowledge base variables in an application, and directly calling the knowledge base ID returns fixed results. Cause: The structured format of
responseDatawas not configured correctly, and the variable binding logic does not match the batch identifier of the knowledge base, leading to parameter parsing failure.
How to confirm the configuration is correct
- Upload a control plan document for this category, initiate a relevant audit request, and verify that the returned cited content includes complete special characteristics and process parameters.
- Retrieve production records for a specified batch, confirm that the returned results only include documents such as first article inspection and SPC reports for that batch, with no cross-batch data mixed in.
- Check the citation source annotation information, confirm that each citation includes document type, submission node, and batch number, complying with vehicle customer quality audit requirements.
- Test the variable binding logic, confirm that the application correctly returns traceability data for the corresponding batch when calling the knowledge base, with no parameter parsing errors.
The values provided are common starting points and should be measured against the reader's own samples.