Vector Models and Indexing for Steel Trade Financing Daily Reports

Data comes primarily from inventory and sales management systems of steel trading enterprises, credit ledgers of partner banks, and same-day spot

What the data for this category looks like

Data comes primarily from inventory and sales management systems of steel trading enterprises, credit ledgers of partner banks, and same-day spot market transaction data. Updates occur daily. Each daily report is a structured spreadsheet file. It includes fields such as trading entity name, detailed steel category, same-day shipment volume, credit limit, same-day financing application amount, settlement unit price, logistics batch number, and more. Units include tons, ten thousand yuan, yuan/ton, and others.

Constraints imposed on vector models and indexing workflows

The data has a high proportion of structured fields, and clearly correlated business fields exist. Chunking must retain the semantic integrity of fields, and must not split row data that spans business units. The daily incremental update feature requires indexes to support incremental synchronization, to avoid excessive resource consumption from full index rebuilding. Fields include multiple unit and numeric types, so vector models must support mixed semantic encoding of structured numeric and text data. When a single file has a large number of rows, limit the number of rows processed per indexing batch to prevent task timeouts. Some fields are repeated general identifiers; filter invalid blank lines and duplicate header items during chunking to avoid generating redundant vectors.

Configuration settings

Configuration ItemRecommended SettingRationale
PARSE_STRUCTURED_TABLEEnabledDaily reports are standardized structured spreadsheets; enabling this setting preserves field and row-level business correlations
Chunk Length800–1200 charactersSpliced structured row data must retain complete business logic, and must not split content across categories or transactions
INDEX_INCREMENTAL_SYNCEnabledAdapts to the daily incremental update feature of reports, reducing resource consumption from full index rebuilding
VECTOR_EMBEDDING_DIM1024 dimensionsAdapts to semantic encoding requirements for mixed text and numeric fields, improving matching accuracy for structured data
UPLOAD_FILE_MAX_SIZE1000 MBCovers the maximum file size limit for single reports combining multiple categories or monthly summary reports
RECALL_TOP_KTop 6 resultsSteel trade financing decisions require correlation of multi-dimensional business data; 6 results cover core correlated information

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

Three common mistakes

  • Phenomenon: After upgrading the version, uploading the same CSV file triggers chunking failure, and the error message includes "field format mismatch". Cause: The new version enables structured field verification by default, while the old version did not enable this configuration, causing a conflict between the original parsing logic and the new parameters.
  • Phenomenon: The knowledge base indexing task is stuck in the "processing" state, no completion progress is displayed, and some data fails to generate vectors. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter is not configured, and single-file processing timeout does not trigger retries, causing task blocking.
  • Phenomenon: After switching the vector model, the knowledge base recall results do not change, and vectors encoded by the original model are still used. Cause: The vector data in the original index library is not cleared, and the new model does not regenerate vector encodings for the corresponding documents.

How to confirm configuration is complete

  • A single test daily report file is uploaded, the parsed chunk preview is reviewed, and fields and business logic are confirmed to not be incorrectly split.
  • Indexing task logs are reviewed, the incremental synchronization switch is confirmed to be active, and no redundant prompts for full index rebuilding are present.
  • A test query is initiated, a question including steel category and financing limit is entered, and recall results are checked for complete fields and relevant information.
  • After the upload API is called, the returned taskId field is extracted, and indexing progress and completion status are verified through the official status query interface.

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.