What this category of data looks like
Iron ore research report data primarily comes from domestic iron ore spot trading platforms, Dalian Commodity Exchange, industry consulting institutions, and brokerage research departments. Spot prices and port inventory data are updated daily. Futures position data updates during trading hours. Brokerage research reports are pushed by publication date. In-depth industry reports release monthly or quarterly. Document fields include core supply and demand indicators (mostly measured in ten thousand tons), transaction prices (yuan per wet ton or US dollars per dry ton), policy developments, and ocean freight rates (US dollars per ton). Some in-depth reports also include text content parsed from charts.
What constraints do these characteristics impose on knowledge base retrieval and recall
Differences in units across multiple data sources (wet ton/dry ton, different pricing methods) can cause matching deviations for the same indicator. Unit normalization must be completed before retrieval. Differences in update rhythms across data require the knowledge base to use distinct incremental sync frequencies. This prevents recalling outdated spot data or research reports. Research report document lengths vary widely, from short bulletins of a few hundred words to in-depth reports of tens of thousands of words. This requires flexible chunking recall granularity. Content dense with specialized terminology requires precise semantic vector matching. Otherwise, irrelevant content from downstream steel categories may be recalled.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Iron ore in-depth research reports contain large amounts of chart parsing and long text extraction. This duration covers the full parsing process |
Chunk Length | 800–1200 characters | Professional discussion paragraphs in iron ore research reports mostly fall within this range. This preserves complete logical connections between supply, demand, and price data |
Recall Count | Top 8–12 results | Covers research report viewpoints from different institutions, while avoiding context overload that impacts retrieval results |
Similarity Threshold | 0.72–0.85 | Filters out steel-related research reports not tied to iron ore, ensuring recalled content closely matches the target category |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports uploads of large research report packages with multiple attachments per file |
Reranked Return Count | Top 3–5 results | Prioritizes displaying the most relevant core research report content for quick user reference |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Semantic retrieval scores show values over 4000, which fall outside the standard 0–1 range. Cause: Vector similarity normalization configuration is not enabled, and raw calculated cosine similarity values are returned directly.
- Symptom: Retrieval results returned by the API do not include associated source file names. Cause: The source file tracing configuration for knowledge base retrieval is not enabled, and the
source_filefield is not included in retrieval results. - Symptom: Knowledge base capacity statistics deviate from the actual total document size, making storage requirement estimates inaccurate. Cause: Only parsed text character counts are included, and binary storage overhead from original files is not accounted for.
How to Verify Proper Configuration
- Upload a standard iron ore research report. Confirm that parsed text retains complete price and supply and demand indicator content, and check that no timeout or failure prompts appear in the parsing status.
- Initiate a search for iron ore import volumes. Verify that similarity scores for recalled results fall within the preset range, and that no irrelevant content from categories such as steel or coke appears.
- Call the knowledge base retrieval API. Confirm that the returned results include the
source_filefield, which can trace back to the corresponding uploaded file name. - View the knowledge base capacity statistics dashboard. Confirm that the statistics dimension includes both original file size and parsed text storage overhead, which aligns with actual storage requirements.
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.