What the Data for This Category Looks Like
Sources of iron ore-related financial reports and industry data include annual reports of global major mining enterprises, domestic port inventory weekly reports, futures exchange delivery data, and industry association supply and demand reports. Update frequencies are divided into multiple tiers. Spot prices are updated daily after market close. Industry supply and demand weekly reports are released weekly. Listed company financial reports are disclosed quarterly and annually on a fixed schedule. Most documents are in structured table format, with fields including grade, transaction price, inventory volume, import and export volume, and more. Units are mostly dry tons and US dollars per dry ton. Some reports include percentage annotations for grade levels.
Constraints Imposed on Knowledge Base Retrieval and Recall
Iron ore data sources are scattered, covering multiple channels such as exchanges, industry associations, and corporate financial reports. This requires retrieval systems to support cross-source recall and unify data standards. Update frequencies vary significantly across data types. Daily updated spot prices and quarterly updated financial reports require differentiated synchronization cycles to avoid outdated data interfering with retrieval results. Structured tables include subdivided fields such as grade, price, and unit, with units mostly dry tons and US dollars per dry ton. This requires precise matching of fields and units during retrieval to avoid irrelevant recall across categories or units. Long documents such as annual financial reports need to be split into passages while retaining field association logic to prevent context breaks.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 10-15 results | Iron ore data includes multi-dimensional information such as supply and demand, prices, and inventory. Sufficient candidate results can cover needs across different analysis dimensions |
Similarity Threshold | 0.75-0.85 | Iron ore data has professional terminology and precise field matching requirements. A threshold that is too low may introduce irrelevant category data, while a threshold that is too high may filter valid relevant results |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Annual financial report documents have long lengths, requiring sufficient processing time during parsing to avoid parsing failures due to timeout |
Chunk Length | 800-1200 characters | Iron ore financial reports include structured tables and long paragraph descriptions. This chunk length can retain context association and avoid destroying table logic when splitting |
Rerank Return Count | Top 5-8 results | After reranking, focus on the most relevant core data to reduce interference from redundant results on financial report analysis |
Auto Sync Interval | Set by tier based on data type | Spot prices are updated daily, industry weekly reports are updated weekly, and financial reports are updated quarterly. Tiered synchronization balances data timeliness and storage costs |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: The
Rerank Return Countconfiguration is set, but retrieval results are not reranked as expected. The return order matches the initial recall results. Cause: The global rerank switch is not enabled, or the rerank model is not bound to the current knowledge base. - Issue: Low-similarity documents appear before high-similarity documents in retrieval results, and the sorting logic does not meet expectations. Cause: The
Similarity Thresholdis set too high, filtering some valid relevant results with slightly lower similarity, or the rerank link is not enabled to perform secondary sorting on initial recall results. - Issue: Disk space insufficient errors appear during knowledge base synchronization. After restarting, a
getaddrinfo EAI_AGAINdomain name resolution error occurs. Cause: TheUPLOAD_FILE_MAX_SIZEparameter is not restricted, causing large-volume financial report files to occupy too much disk space during upload; network configuration does not correctly point to the MongoDB service address, causing the service domain name to fail to resolve after restarting.
How to Verify Proper Configuration
- Access the settings interface of the target knowledge base, verify the values of core configuration items such as
Recall CountandChunk Lengthto confirm they align with the scenario adaptation plan. - Upload a single iron ore financial report document, trigger the parsing process, and check the parsing logs to confirm no timeout or format error prompts appear.
- Enter a professional iron ore retrieval term, perform a retrieval test, and check whether the sorting logic and field matching degree of the returned results meet analysis requirements.
- Check the operation records of the automatic synchronization task to confirm that the synchronization cycles of different data types are executed according to preset rules.
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.