What This Category of Data Looks Like
Data originates primarily from production ledgers, quality inspection reports, environmental approval documents, and project declaration files of non-ferrous metal smelting enterprises. Update frequency aligns with declaration batches or monthly production cycles. Submitted documents are typically multi-page PDFs or structured tables, with fields including smelting furnace number, metal grade, energy consumption quota, and approval document number. Units follow industrial standards such as tons, percentage, and kilowatt-hours per ton.
Constraints for Citation Sources and Traceability Links
Declaration materials for non-ferrous metal smelting include multi-page structured documents and specialized fields. Citation traceability must precisely match fine-grained content such as specific furnace numbers and test data. Global semantic matching alone cannot meet this requirement. Specialized fields are tightly linked to their units. Citations must associate both the field and its corresponding unit to avoid mixing data from different production batches. Declaration files require tracing back to original quality inspection reports and approval documents. The traceability chain must allow reverting to specific page numbers and paragraphs of the originally uploaded documents. This ensures the review process can verify data sources.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Similarity threshold | 0.75–0.85 | Meets precision requirements for matching non-ferrous metal smelting specialized fields, and avoids matching irrelevant general documents |
| Single search limit | Top 8 entries | Covers main citation fragments for a single declaration material while controlling context length |
quoteMaxToken | 1200–1500 token | Adapts to segmented citation needs for long documents, ensuring complete extraction of core data paragraphs from quality inspection reports |
| Reranking switch | Enabled | Prioritizes documents with higher matching degrees to declaration fields, correcting ranking biases from basic recall |
| Maximum context | 8000 characters | Accommodates citation content from multiple files, avoiding truncation of critical approval document number information |
Three Common Configuration Mistakes
- Phenomenon: Knowledge base recall results have unexpected sorting, and do not prioritize matches with declaration fields. Cause: The reranking configuration is not enabled. Only basic recall similarity sorting is used, and no secondary sorting is performed for specialized fields.
- Phenomenon: Citation sources displayed in conversations include documents outside the local knowledge base. Cause: The default recall switch for the global knowledge base is not turned off, leading to recall of irrelevant general industry documents.
- Phenomenon: Citation fragments are truncated, and complete metal grade values cannot be displayed. Cause: The
quoteMaxTokensetting is too small, and does not cover the complete test data paragraph.
How to Verify Correct Configuration
- View the citation source document list, confirm only uploaded smelter enterprise declaration files and quality inspection reports are included, with no irrelevant documents.
- Verify citation fragment fields and units, confirm full match with smelting furnace numbers and energy consumption data in declaration materials.
- Check the citation pop-up in the conversation interface, confirm all citations are labeled with the original document's file name and specific page number.
- Test citation extraction from long documents, confirm no core data is truncated.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.