Citation Sources and Traceability for Special Steel

What Data for This Category Looks Like

Special steel data mainly comes from domestic special steel association monthly statistical reports, steel plant factory quality inspection ledgers, customs import and export clearance data, and procurement filing documents from downstream machinery manufacturing enterprises. Data update rhythms fall into two categories: industry public data is updated monthly, in-house steel plant ledgers are synced daily, and customs data is updated weekly. A standard single due diligence document usually includes fields such as heat number, grade, chemical composition percentage, tensile strength, yield strength, delivery condition, origin, and ex-factory price. The unit of chemical composition is %, the unit of mechanical properties is MPa, and the unit of price is yuan/ton. Heat number and grade are core unique identifier strings.

Constraints Imposed on Citation Sources and Traceability

The data characteristics of the special steel category impose multiple constraints on citation traceability. First, unique identifiers across multiple sources are inconsistent. Steel plant ledgers use heat number as the unique identifier, while customs data uses customs declaration number as the identifier. Cross-source traceability requires establishing field mapping rules to match associated relationships. Second, public industry data is updated monthly, which cannot support real-time due diligence traceability verification. Supplement daily-synced in-house steel plant quality inspection data as an additional traceability source. Third, fields in individual documents have non-standard differences. Some steel plants add exclusive fields such as grain size and inclusion level, while industry association public documents do not include these fields. Configure traceability rules compatible with different field structures. Fourth, some cross-border traceability data requires authorization before access. Add a permission verification node to the traceability process.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`source_id_field`	`["heat number", "customs declaration number", "grade"]`	Covers unique identifier fields for multi-source special steel data, matches association keys for steel plant, customs, and industry association data sources
`recall_top_k`	`Top 8 results`	Special steel due diligence reports need to cover multi-dimensional data. Too many retrievals add redundancy, while too few fail to cover key traceability information
`similarity_threshold`	`0.75–0.85`	Special steel data has high field precision requirements. Filter low-matching traceability results to avoid referencing incorrect data
`source_sync_interval`	`Daily`	In-house steel plant ledgers are updated daily. Sync the latest factory quality inspection data for traceability verification
`chunk_overlap`	`150–200 characters`	Special steel documents contain continuous chemical composition and mechanical performance data. Overlapping characters ensure field association information is not truncated
`auth_required_sources`	`["customs data"]`	Customs import and export data requires authorization before access. Add permission verification during traceability

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

Three Common Misconfigurations

Phenomenon: The context citation module outputs raw Markdown formatted text without rendering it as rich text. Cause: The render_markdown_in_citation configuration item is not enabled, causing reference content to output raw markup directly.
Phenomenon: Unable to associate corresponding database fields via source_id, some field fields are empty. Cause: The source_id_field parameter is not specified correctly, and unique identifier fields such as heat number and customs declaration number for special steel data are not matched, causing the system to fail to complete traceability association.
Phenomenon: The number of retrieved traceability results does not match the configured value, with excessive redundancy or insufficient key information. Cause: The recall_top_k and similarity_threshold parameters are not adjusted according to the field density of special steel data, causing the retrieval logic to not meet category requirements.

How to Verify Successful Configuration

Upload a special steel quality inspection ledger document, check if the parsed fields include the values of the configured source_id_field parameter, to confirm that field mapping takes effect.
Initiate a due diligence query, check the output format of the context citation module, to confirm that Markdown markup has been rendered as rich text.
Switch between different data sources (such as steel plant ledgers, customs data) to initiate queries, confirm that traceability results can correctly associate with unique identifiers of corresponding data sources.
Adjust the similarity_threshold parameter and initiate a query, check if the matching degree of retrieved results matches the expected adjustment range.

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.