What the Data for This Category Looks Like
The core data for this category is generated and circulated around individual Vehicle Identification Numbers (VINs). Daily documents include production orders, VIN configuration lists, assembly work instructions, tightening torque data, off-line inspection reports, rework records, and consistency release documents. Data sources cover ERP/MES systems, VIN and vehicle configuration systems, supplier batch ledgers, workshop tightening tools, EOL off-line inspection lines, and quality traceability systems. Data is updated in real time per individual vehicle, or summarized and updated per shift during mass production. Fields include VIN codes, part batch numbers, torque values, inspection results, and other relevant fields, and must match the metering specifications for the corresponding business scenario.
Constraints Imposed by These Characteristics on the Citation Sources and Traceability Link
The mixed-model production of individual vehicles using VINs as the main production line requires that citation traceability must accurately match the exclusive configuration and process data of each vehicle. Batch general matching logic cannot be used directly. Multi-source heterogeneous data, such as real-time torque from tightening tools and offline reports from EOL inspections, must be uniformly associated with the corresponding VIN during traceability. This places higher requirements on the accuracy of data sharding and recall. High-frequency updates per shift or individual vehicle require that the traceability system supports real-time pulling of the latest process records. This avoids citing expired or mismatched supplier and quality data. Defect traceability across workstations requires association of multi-link documents. It must be ensured that the full chain of citation sources from part warehousing to off-line release can be fully retrieved during traceability.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Similarity Threshold | 0.7–0.85 | Matches the accuracy requirements for VIN and part batch matching, to avoid low-relevance supplier documents from being included in traceability results |
quoteMaxToken | 4000–6000 token | Carries multi-source document content for the full chain of a single VIN, to ensure complete citation content |
| Single Recall Limit | Top 10 entries | Controls the number of documents returned by traceability, adapting to the scale of multi-station data in mixed-model production |
responseData | Enable source field display | Forces return of metadata for cited documents, meeting traceability requirements for quality auditing |
detail | Enable full citation context | Displays specific paragraphs of cited content, facilitating verification of consistency between assembly processes and tightening data |
This configuration is based on FastGPT v4.17.0.
Three Common Configuration Errors
- Phenomenon: After setting the minimum relevance threshold to 1, the response still contains a large number of citation contents from non-target documents. Cause: Secondary filtering combined with VIN exclusive data is not performed, and the recall scope is not limited to the complete vehicle final assembly supplier and quality document library.
- Phenomenon: External content unrelated to vehicle final assembly quality auditing is mixed into the response. Cause: Precise filtering rules for the knowledge base are not configured, and the recall scope is not limited to the specified business document sources.
- Phenomenon: Cited supplier batch documents cannot be associated with the corresponding VIN. Cause: Matching conditions for the VIN field are not added during recall, resulting in incorrect association of documents across vehicles.
How to Verify Correct Configuration
- Enter the VIN of a single vehicle to initiate a query, check whether the returned citation sources only include production, assembly, and quality documents corresponding to that VIN.
- View the citation metadata in the response, confirm whether it includes document source, update time, and associated fields such as part batch number.
- Adjust the similarity threshold to 0.6, verify whether the returned citation content meets the business relevance requirements, with no redundant unrelated documents.
- Retrieve test rework record documents, confirm that the rework citation content corresponding to the target VIN can be accurately returned after the query.
The values provided are common starting points and should be measured against the reader's own samples.