Citation Sources and Traceability for Steel Trade Financial

What Data for This Category Looks Like

Steel trade financial report data comes from four main sources: publicly available quarterly reports of listed steel enterprises, inventory and sales ledgers of regional steel traders, customs import and export declarations, and monthly monitoring data from industry associations. Data updates follow three schedules: listed steel enterprises release quarterly reports on a fixed schedule, traders’ internal ledgers are updated daily, and customs data is released 15 working days after the fact. Document structures include fields such as purchase and sales contract numbers, steel product category codes, outbound volume, inbound volume, unit cost, and settlement amount. Core units are ton, yuan per ton, and 10,000 RMB. Some cross-border trade data includes USD-denominated fields.

Constraints on Citation and Traceability Workflows

Multi-source, heterogeneous format, and time difference characteristics of steel trade data create multiple constraints for citation and traceability. Timestamps vary significantly across data sources. Align time windows between quarterly reports of listed steel enterprises and weekly traders’ ledgers strictly. Misalignment causes cross-period data conflicts, invalidating traceability results. Format differences across sources are large: public financial reports use PDF, internal ledgers use structured Excel or database tables, and customs declarations use standardized XML. Configure custom parsing rules for each format to accurately extract traceability fields. Core product fields have detailed category codes. Match exact steel product category codes during traceability; do not use generic terms. Generic terms prevent cited source data from matching query requirements. Some cross-border trade data has release delays. Note data lag periods in traceability configurations to avoid citing outdated information.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`Recall count`	Top 8-12 entries	Steel trade financial report data consists mostly of structured detailed entries. Too many recalled entries cause redundant context, while too few fail to cover complete purchase and sales details.
`Similarity threshold`	0.75-0.85	Matching accuracy for detailed steel product category codes is high. A threshold that is too low introduces irrelevant category data, while a threshold that is too high fails to recall relevant detailed entries.
`PARSE_FILE_TIMEOUT_SECONDS`	120 seconds	Batch document parsing such as customs declarations takes a long time. The default timeout period is insufficient, so extending it avoids parsing failures.
`Citation Source Field`	Contract number, customs declaration number, release date	The core traceability identifiers for steel trade data are document numbers and timestamps, which enable precise location of original data.
`Vector Model`	`bge-large-zh-v1.5`	This model supports semantic matching for structured table data, and can accurately identify detailed fields such as steel product category codes.
`LOCAL_KNOWLEDGE_RECALL_LIMIT`	Calibrated to business data volume	Local deployment environments must adapt to the number of detailed entries in steel trade financial report data to avoid limiting traceability coverage via recall caps.

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific scenarios require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

Issue: After calling Function CALL to retrieve MySQL business data, the response does not include original database snippets, only summarized conclusions. Cause: The Database Citation Snippet Binding configuration is not enabled, and original fields returned by the query are not mapped to the conversation's citation traceability pool.
Issue: For a locally deployed knowledge base search module, the number of cited references recalled in a single run cannot exceed the default limit. Cause: The default value of the LOCAL_KNOWLEDGE_RECALL_LIMIT parameter is not modified, and the configuration is not adapted to the number of detailed entries in steel trade financial report data.
Issue: Cited source data from the knowledge base does not include detailed steel product category codes, only generic product category names. Cause: The Similarity Threshold is set too high, only recalling entries with high matching scores that do not associate detailed fields, and the Field-level Recall configuration is not enabled to match category codes.

How to Verify Proper Configuration

Submit a query that includes a specific steel product category code, and check if the citation list at the end of the response includes the corresponding document number and release date.
View the Vector Model option on the knowledge base configuration page, and confirm that the model version adapted for structured data is selected.
Adjust the Recall Count parameter, and verify that the number of recalled citations matches the modified value.
Test calling Function CALL to retrieve MySQL data, and check if the conversation context retains field snippets from the original query results.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.