What data for this category looks like
Steel trade investment research data primarily comes from industry news platforms, steel mill ex-factory price weekly reports, port inventory daily reports, trader inventory and sales ledgers, and other channels. The update cadence follows daily (same-day prices, port inventories), weekly (industry supply and demand analysis), and monthly (annual supply and demand forecasts) schedules. Document structures include structured tables (with fields such as unit price per ton, inventory volume, trade volume, etc.), semi-structured analytical text. Minor differences in field units exist across data sources: some use kilograms, while others use tons, and the delivery cycle field uses natural days as its unit.
What constraints these characteristics impose on model integration and configuration
The high-frequency updates of steel trade data require configuring stable scheduled synchronization trigger rules during model integration, to avoid data lag that impacts investment research accuracy. The high proportion of structured data and inconsistent field units require configuring unified field alignment rules before model integration, to prevent unit confusion in retrieved data. Wide variation in document length, with both long tables and short analytical texts, requires configuring separate splitting logic for the two document types, to avoid over-splitting or under-splitting. The high real-time data requirements in investment research scenarios require adjusting model call timeout parameters, to prevent request failures caused by parsing delays.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Steel trade investment research documents include long tables and multi-dimensional industry analysis; longer context preserves complete data associations |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Structured table parsing requires significant computing resources; prevents timeout truncation of complete data |
chunkSize | 1000–1500 characters | Balances the integrity of structured field splitting and retrieval accuracy; avoids including excessive irrelevant content in a single chunk |
similarityThreshold | 0.75–0.85 | Matches precise price and inventory fields for steel trade; filters low-relevance general industry data |
RECALL_TOP_N | Top 10 entries | Covers multi-dimensional data including supply and demand, prices, and inventories in trade scenarios; prevents missing key information due to insufficient retrieved entries |
RERANK_TOP_N | Top 5 entries | Conducts secondary filtering of retrieved results; focuses on highly relevant core trade data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: When calling online models, only the first token latency is displayed. When calling offline models, total runtime is displayed, making it impossible to view metrics uniformly. Cause: The unified latency statistics switch was not enabled in the model integration configuration, and reporting logic varies across model types.
- Phenomenon: An error occurs after configuring an API Key and initiating a call, with the prompt "incorrect API Key used". Cause: No distinction was made between global universal keys and application-specific keys, and the global key was used directly for conversation calls.
- Phenomenon: Core fields are missing from parsed results after uploading steel trade documents. Cause: No dedicated parsing rules were configured for structured tables, leading to some fields being misjudged and split as plain text.
How to confirm correct configuration
- Upload a single structured steel trade document, and verify the completeness and unit consistency of parsed fields.
- Initiate a query related to steel trade prices or inventories, and verify that the number and relevance of retrieved results match configuration expectations.
- View model call logs, and confirm that the latency statistics logic matches the configured unified indicator requirements.
- Test workflow calls, and confirm that returned data covers steel trade-specific dimensions such as trade and inventory.
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.