What Data Looks Like for This Category
Typical entities include electroplating plants and hardware surface treatment workshops. Teams produce daily documents such as bath solution analysis records, process parameter cards, fixture usage records, film thickness and adhesion reports, hazardous waste management ledgers, and wastewater monitoring records. Data comes from customer surface treatment specifications, bath solution test results, rectifier operation data, online water quality monitoring data, and hazardous waste disposal ledgers. Updates occur per bath cycle, per shift, or fixed monitoring cycle. Document fields include bath number, analysis time, metal ion concentration (g/L), pH value, workpiece number, coating thickness (μm) and other professional parameters.
Constraints for Source Citation and Traceability
This category has scattered data sources. Sources cover production parameters, monitoring data, management ledgers and other information types. Precise matching of association relationships between different data sources is required to avoid generalized traceability results. Frequently updated documents require the traceability system to support near-real-time indexing and updates. This ensures cited content aligns with current production status. Professional fields and units require the traceability process to retain original data formats. Parameter information must not be simplified arbitrarily. Error consequences link to batch rework or production suspension penalties. Traceability results must accurately associate with specific bath cycles, shifts or monitoring nodes. Fuzzy matching alone is insufficient.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Core documents for this category are mostly 500–1500 characters in length. Key parameters and units must be fully retained |
responseData | Enable full data sources for bath solution, water quality and process | Data sources cover multiple types of production and monitoring documents. All valid traceability ranges must be covered |
detail | Retain original fields and units | Professional testing parameters must be fully presented, such as g/L and μm. Information distortion must be avoided |
| Similarity threshold | 0.75–0.85 | Low-matching irrelevant records must be filtered. Associated data from the same bath cycle must be retained |
| Single recall limit | Top 5 results | Context overflow must be avoided, which can be caused by multiple frequently updated documents |
Three Common Configuration Mistakes
- When calling the system, the prompt "Failed to load external cited content" appears. The cause is that access permissions for the corresponding data source are not configured, and structured production data has not been converted to indexable document format.
- After setting the minimum relevance to 1, a large number of irrelevant process records still appear in the response. The cause is that the traceability scope is not limited to electroplating production-related documents, and the result filtering mechanism is not enabled.
- After attempting to associate Notion-format documents, valid content cannot be extracted. The cause is that parsing adaptation for the corresponding data source is not enabled, and access permissions for Notion documents are not configured.
How to Verify Correct Configuration
- Upload a bath solution analysis record, trigger the inspection and review process, and check whether the response includes complete source information and original parameters of the document.
- Adjust
quoteMaxTokento 500 token, and check whether the length of cited content in the response matches the set requirements. - Set the similarity threshold to 0.8, and verify that low-matching records are not included in the traceability result range.
- Confirm that the current deployment version is FastGPT v4.17.0 to ensure all configuration items take effect normally.
The values listed above are common starting points, and should be evaluated against the reader's own samples.