What the data for this category looks like
Special steel investment research data primarily comes from public reports released by the China Special Steel Enterprise Association, factory ex-factory price ledgers, customs import and export declaration systems, and spot market quotation platforms.
Update frequency falls into three categories:
- Factory ex-factory price ledgers are updated daily
- Industry supply and demand reports are released monthly or quarterly
- Customs data is updated weekly with a lag
- Spot quotations are updated in real time
Document structure includes three types: structured reports (with fields such as grade, specification, origin, price per ton, inventory, etc.), unstructured research reports (including policy interpretations, supply and demand analysis), and customs declaration documents (with fields such as HS code, import and export quantity, country of origin, etc.). Field units uniformly use standard industrial units such as millimeters, yuan per ton, and days.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Real-time updated spot and ex-factory prices require multi-turn dialogue to prioritize recalling the latest documents, and avoid using expired data. Multi-structure documents require prompt engineering to distinguish parsing logic between structured reports and unstructured research reports, ensuring accuracy of field extraction. Structured data with multiple fields requires multi-turn dialogue to retain key context such as grade and specification across turns, preventing cross-turn matching errors. Strict unit requirements require prompt engineering to enforce use of standard units such as yuan per ton, preventing data confusion.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Special steel data contains structured content with multiple fields. Multi-turn dialogue must retain key context such as user-specified grade and specification to avoid information loss |
RECALL_TOP_N | Top 8–12 results | Special steel specifications are tightly bound to grades. Too many recalled results will cause context overload, while too few will fail to cover relevant data entries |
PARSE_STRUCTURED_TABLE_MAX_ROWS | 500 rows | Special steel ex-factory price reports typically contain hundreds of specification data entries. Full parsing of structured content is required to retain complete field associations |
SIMILARITY_THRESHOLD | 0.75–0.85 | Special steel grades and specifications have strict matching requirements. A threshold that is too low will introduce irrelevant data from other steel categories, while a threshold that is too high will fail to recall valid content |
CHUNK_SIZE | 600–800 characters | Structured special steel documents must retain complete specification-price correspondence after splitting, to avoid disrupting field associations |
PROMPT_TEMPLATE | Match corresponding data based on user-specified special steel grade and specification, prioritize using the latest updated documents, and uniformly use yuan per ton as the price unit | Special steel prices are tightly bound to specifications. Clear data timeliness and unit standards must be specified to avoid returning incorrect information |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After uploading a special steel ex-factory price report, when initiating a statistical summary dialogue, the model does not use the data from the uploaded file. Cause: The uploaded file was not added to the vector database bound to the knowledge base, or structured document parsing rules were not configured, resulting in data not being correctly split and stored.
- Phenomenon: When using a locally deployed large language model with a special steel knowledge base for multi-turn dialogue, a
504 Gateway Timeouterror occurs or response delay exceeds 30 seconds. Cause: The number of recalled results is set too high, or the context caching mechanism is not enabled, causing each dialogue to re-retrieve all special steel data. - Phenomenon: In multi-turn dialogue, the model returns mismatched special steel specifications and prices, or mixes data from different grades. Cause: The prompt template does not explicitly limit matching of special steel grade and specification fields, or the context window is set too small, resulting in loss of key information specified in the first dialogue turn.
How to confirm correct configuration
- Upload a special steel ex-factory price report, initiate a dialogue with statistical requirements, and verify that the model uses data from the uploaded file to complete calculations.
- Initiate two consecutive dialogue turns. Specify a specific special steel grade and specification in the first turn, then ask for relevant parameters in the second turn, and verify that the model retains the key information from the first turn.
- View the knowledge base parsing logs, confirm that the uploaded special steel documents have been correctly split and vector embedded, with no failed parsing entries.
- Adjust the similarity threshold, initiate a query containing keywords from other steel categories, and verify that the model does not return irrelevant steel data. Adjust the threshold based on actual matching accuracy.
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.