What the data for this category looks like
Iron ore financing daily report data is sourced primarily from domestic commodity trading platforms, coastal port warehouse systems, and publicly disclosed daily transaction, inventory, and financing pledge data from industry associations. It is updated once at a fixed time each day. Each daily report document includes fields such as current date, iron ore type (fine ore, lump ore, etc.), origin information, transaction unit price, total port inventory, number of new financing pledges that day, and corresponding financing amount. Units are uniformly specified as yuan/ton, ten thousand tons, and hundred million yuan. Most document formats are structured tables or text files with fixed headers.
What constraints these characteristics impose on knowledge base retrieval and recall
The structured features of iron ore financing daily reports require retrieval and recall to prioritize precise field matching instead of broad searches. For example, use fields like ore_type and financing_amount for targeted recall, to avoid mixing in financing data from non-iron ore categories. The daily update feature means incremental synchronization logic must be configured, to prevent resource waste from full repeated uploads. Although units are standardized, cross-measurement issues may occur, so field unit matching must be verified during recall to prevent incorrect results. Additionally, financing-related fields have strong correlations, so the contextual integrity of recalled documents must be maintained, to avoid losing key business association information after splitting.
How to set the configurations
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
recall count | Top 10 entries | The number of daily iron ore financing daily report documents is limited. Too many recall entries will increase front-end rendering load, while too few will fail to cover complete business scenarios |
similarity threshold | 0.72–0.78 | Structured documents have high keyword matching accuracy. A threshold that is too low will introduce irrelevant data, while a threshold that is too high may miss valid financing-related documents |
chunk length | 800–1200 characters | Field integrity must be preserved, to avoid losing associated business fields such as unit price and financing amount after splitting |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single daily report document may contain data for multiple categories, so parsing takes a long time. Sufficient timeout time must be reserved |
incremental sync interval | 1 time per day, 1 hour before fixed update | Matches the daily update rhythm of daily reports, to ensure knowledge base data is synced with source data |
reranked return count | Top 5 entries | Prioritize displaying results with the highest relevance to financing scenarios, which aligns with business query requirements |
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, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After selecting the designated iron ore financing daily report knowledge base, the reference variable dropdown shows no selectable values. Cause: Business fields of structured documents have not been configured as reference variables, or the knowledge base has not completed the parsing and sync process.
- Phenomenon: Documents returned after calling the retrieval interface are not sorted by business priority, and results with financing-related keywords appear late. Cause: Reranking rules based on business keywords have not been configured. Only basic similarity sorting is used, and secondary filtering tied to financing scenarios is not performed.
- Phenomenon: When copying displayed document content on the front end, the corresponding relationship between key fields such as unit price and inventory is lost. Cause: Paragraph splitting during document parsing destroys the contextual association of structured fields, and the business binding logic between fields is not retained.
How to confirm configurations are correct
- Manually upload a test iron ore financing daily report document, and check if the parsed fields in the knowledge base are fully mapped.
- Initiate a retrieval with keywords such as "iron ore financing" and "port inventory", and verify that the returned results match the category and business scenario.
- Check the reference variable dropdown to confirm that all parsed business fields are loaded as selectable values.
- Check if the number of results returned by the retrieval interface matches the configured
recall count.
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.