What this category of data looks like
Data for this category originates from procurement orders, drawing specifications, supplier quality certificates, data collected by inspection equipment, historical quality ledgers, and supplier portals. Commonly processed documents include inspection specifications, sampling plans, incoming material inspection reports, supplier audit reports, exception contact sheets, 8D rectification reports, and concession acceptance approval forms. Incoming material batches trigger data updates. Overall supplier evaluations occur monthly or quarterly. Special audits run irregularly. Data fields include incoming material batch number, supplier ID, inspection item parameters, non-conformity judgment results, and rectification records. Some fields include physical units or timestamps.
Constraints for Model Access and Configuration
Multi-source data sources require configuration supporting multi-channel data access. Information from procurement, inspection equipment, and supplier portals must be retrievable. Irregular update rhythms require configuration supporting incremental synchronization. Full historical data loading must be avoided during repeated updates. Diverse document types require adaptation to different chunking rules. Long texts such as inspection specifications and short texts such as rectification reports must be parsed correctly. Special batch and supplier fields require associated identifiers during retrieval. This improves matching accuracy. Strict quality consequences require configuration ensuring consistency and accuracy of model outputs.
How to Set the Configuration
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Multiple batch data and historical rectification records must be associated for this scenario, requiring a sufficient context window |
maxTokens | 2000–3000 token | Complete inspection judgment suggestions, rectification directions and reference basis must be output to avoid truncating key content |
temperature | 0.2–0.4 | Inspection judgment and rectification suggestion consistency must be maintained. Random results must be avoided to prevent quality control disruption |
quoteMaxToken | 1500 characters | Complete fragments of inspection specifications or supplier audit reports must be referenced to ensure accurate, complete reference content |
| Workflow/API tool selection | auto | Retrieval tools must be called as needed to access latest incoming material data or supplier historical records, adapting to dynamic scenario information needs |
Three Common Misconfigurations
- Symptom: Knowledge base retrieval returns normal results, but the model generates empty content or no citations. Cause: The
maxContextparameter is misconfigured. Retrieved document fragments are excluded from the model context window. - Symptom: After FastGPT is upgraded to v4.17.0, external release channels cannot call generation results, while local testing operates normally. Cause: Adaptive configuration for
AIPROXY_API_ENDPOINTorAIPROXY_API_TOKENwas not updated. The new version modified interface paths or verification methods. - Symptom: Retrieval results fail to match incoming material inspection data for the corresponding batch. Cause: Retrieval association rules were not set for special fields such as incoming material batch number and supplier ID. This leads to insufficient matching accuracy.
How to Confirm Correct Configuration
- Upload a latest incoming material inspection report and supplier audit report. Initiate an equipment check-related Q&A. Verify that the model correctly references inspection items and supplier historical exception records in the reports.
- Adjust the
temperatureparameter to different ranges. Compare two sets of generated inspection judgment results. Confirm that result consistency meets scenario requirements. - Publish a test link to an external channel. Initiate a test Q&A. Verify that external calls return complete, cited results normally.
- Check system logs. Confirm that retrieved document fragment length does not exceed the configured
quoteMaxTokenvalue. No content truncation occurs.
The values provided here are common starting points and should be evaluated against samples tailored to the specific use case.