What the data for this category looks like
General steel financial report data comes from public Shanghai and Shenzhen Stock Exchange announcements, listed company quarterly and annual reports, and monthly steel industry association statistical data. Updates follow financial report release cycles: quarterly reports update within 1 to 2 months after quarter end, and annual reports update within 4 months after calendar year end. Document structure centers on structured financial tables, paired with text explanations and industry comparative analysis. It includes fields such as crude steel output, steel tonnage gross profit, raw material procurement costs, with units mostly being ten thousand tons, yuan per ton, and thousand yuan per ton.
How These Characteristics Impact Knowledge Base Retrieval and Recall
The combination of structured tables and long text in general steel financial reports requires retrieval systems to support both field-level matching and contextual association analysis. Update cycles are not fixed and depend on public disclosure timelines. Recall mechanisms must prioritize the latest released financial report data to avoid interference from outdated data in analysis results. Field and unit standardization is relatively high, but subtle differences exist in disclosure formats across different companies. Retrieval processes must unify unit benchmarks to prevent recall failures caused by unit mismatches. Long documents must be segmented while preserving table integrity, otherwise key indicators will be split and cannot support complete financial report analysis logic.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | General steel financial reports include structured tables and long-text business explanations. Segmentation must cover complete table rows or single business description segments to avoid splitting key indicators |
overlap_ratio | 0.2–0.3 | Financial report data has strong relevance. Overlapping sections preserve contextual associations across segments and prevent core indicators from being split and disconnected |
similarity_threshold | 0.75–0.85 | General steel financial report fields have high standardization. Low-match irrelevant documents must be filtered, while recall results for granular data within the same category are retained |
rerank_top_k | Top 10 entries | General steel financial reports involve multi-dimensional indicators (crude steel output, steel tonnage gross profit, raw material costs). Reranking prioritizes fragments relevant to core business queries |
parse_table_mode | structured_extract | General steel financial reports contain a large number of standardized financial and production data tables. Structured parsing preserves complete associations between fields and units |
max_context_tokens | 16000–24000 characters | Single general steel financial report documents can reach tens of thousands of characters in length. Sufficient context must be retained to support cross-field association analysis |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Searching for the keyword crude steel output fails to return table data from the corresponding financial report. Cause: The structured parsing mode of
parse_table_modeis not enabled. Table content is treated as ordinary text and split, so the keyword cannot match complete indicator fields. - Symptom: The number of retrieval results is far lower than expected, and does not cover all financial reports and industry research data. Cause:
similarity_thresholdis set too high, filtering out a large number of relevant granular industry analysis content and financial report note information. - Symptom: The latest quarterly financial report data is not updated after knowledge base synchronization. Cause:
refresh_intervalis set too long, failing to align with the quarterly release cycle of general steel financial reports, so old data is not replaced in a timely manner.
How to Verify Correct Configuration
- Upload a single disclosed general steel listed company financial report document, access the knowledge base parsing details page, and check segmentation results to confirm table content is not incorrectly split and fields and units are fully preserved.
- Enter a combined search term including crude steel output and steel tonnage gross profit, check the ranking and matching degree of recall results, and confirm that reranked results prioritize core business needs.
- Manually trigger knowledge base refresh, wait for synchronization to complete, and search for old and new financial report content to confirm that the latest data has been correctly recalled.
- Adjust the value of
similarity_threshold, compare the number of recall results under different thresholds, and confirm that it meets the recall range required by the business.
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.