Citation Sources and Traceability for Steel Trade Financing Daily Reports

Data sources for steel trade financing daily reports include commodity trading platform transaction data, bank credit system financing records, steel

What this category’s data looks like

Data sources for steel trade financing daily reports include commodity trading platform transaction data, bank credit system financing records, steel mill delivery orders, logistics transport documents, and other relevant materials. Data is synced for the previous day’s business operations before midnight each day. Documents use structured tables as their core content, with scanned original document attachments as supplementary materials. Core fields include trade entity name, steel product category (e.g., rebar, wire rod), credit limit, daily financing amount, settlement price, logistics tracking number, and payment cycle. Units are ten thousand yuan, yuan/ton, ten thousand yuan, ten thousand yuan, yuan/ton, tracking number, and days, respectively. Some fields must be linked to the unique identifier of offline paper documents.

Constraints on Traceability and Citation Sources

The characteristics of this data type impose four key constraints on traceability and citation workflows:

  1. Multi-source, decentralized data must be bound with unique identifiers. Without this, steel financing data for different trade entities with identical names may be mixed up.
  2. Daily update timeliness requires strict limitation of the time range for recalled data, to prevent expired historical data from being included.
  3. Document structures that combine structured fields and unstructured attachments require separate logic for field-level traceability and attachment-level traceability.
  4. Steel trade’s unique binding relationship between credit, logistics, and transaction data requires tracing across multiple dimension identifiers. Single keyword matching alone cannot meet traceability requirements.

Configuration Settings

Configuration ItemRecommended ValueRationale
Recall countTop 8 entriesSteel trade financing daily reports have a large number of core fields. Too many recalled entries will dilute precisely matched business data, while too few may miss critical credit records
Similarity threshold0.75–0.85Structured fields have high matching precision requirements. This range filters out non-steel category or non-current-day financing data to avoid invalid recalls
PARSE_FILE_TIMEOUT_SECONDS300 secondsDocuments with scanned attachments require OCR recognition and text extraction. This duration covers parsing time for most standard documents
Chunk size800–1200 charactersFinancing daily reports mix structured paragraphs and attachment descriptions. This segment length preserves complete links between credit and logistics information, avoiding splitting critical business entries
Time Filter ThresholdPrevious day 00:00–23:59Financing daily reports update with the previous day’s business data daily. This threshold limits the time range of recalled data to ensure timeliness
Data Source Binding RulesBound by credit number + logistics tracking numberThe core identifying links for steel trade financing are credit numbers and logistics tracking numbers, which prevent mixing of identical business data from different entities

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

Three Common Misconfigurations

  • Symptom: After calling the knowledge base, only citation links are returned, with no corresponding main text content. Cause: The Data Source Binding Rules configuration is not set. The system cannot distinguish identical steel product category data from different trade entities, and only returns original matching links without content aggregation.
  • Symptom: A 504 Gateway Timeout error is returned when parsing documents. Cause: The set PARSE_FILE_TIMEOUT_SECONDS value is shorter than the actual OCR parsing time for scanned documents, causing the parsing process to time out and terminate.
  • Symptom: Recalled results include non-current-day historical financing data. Cause: The Time Filter Threshold is not set, or the threshold is configured with a full time range, without limiting to the previous day’s business data interval.

How to Verify Correct Configuration

  • Upload a standard steel trade financing daily report document, check if the extracted fields after parsing include core fields such as credit number, logistics tracking number, and steel product category, to confirm that segment and parsing configurations are effective.
  • Initiate a recall test, check if the time range of returned results is limited to the previous day, to confirm that the time filtering threshold configuration is correct.
  • Upload two financing daily reports for the same product category but different entities at the same time, check if recalled results distinguish entities by credit number and logistics tracking number, with no data mixing.
  • Test uploading a document with scanned attachments, check if parsing completes within 300 seconds, to confirm that the parsing timeout configuration is reasonable.

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.