What Data for This Category Looks Like
Steel trade market and yield rate data primarily comes from domestic spot trading platforms, futures exchange delivery product quotes, factory ex-factory guidance price announcements, and regional traders' transaction ledgers. In terms of update schedules, spot quotes are mostly updated each morning, futures market data refreshes in real time alongside trading sessions, and factory guidance prices are updated weekly or biweekly. Documents are mostly stored in Excel or CSV formats, with core columns including product name, specification/model, origin, pricing unit, daily transaction price, previous cycle transaction price, and regional total inventory. Units are uniformly yuan/ton, with no additional compound units. Some subcategories include regional transportation cost notes.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Data sources are scattered with significant differences in update schedules, so multi-turn dialogue must first clarify the data type required by the user to avoid confusing spot and futures statistical scopes. Steel product specifications are complex, with notable price differences between same-category products of different specifications. Prompts must guide users to specify exact specification/model and origin, otherwise accurate results cannot be returned. Multi-turn dialogue needs to track context category information to avoid repeating basic parameter questions, while also unifying unit expressions to ensure all returned content uses yuan/ton. Bulk imported trade ledger data has large volume, so parsing and retrieval logic must adapt to long text and multi-field processing to prevent context overflow from causing loss of key information.
Configuration Settings
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000 characters | Steel trade data has multiple fields and requires retaining multi-turn dialogue context for product and specification details, to avoid context overflow and loss of critical information |
Retrieval Count | Top 8 entries | Steel products have numerous specifications, sufficient relevant category data must be retrieved to support dialogue while avoiding interference from redundant information |
Similarity Threshold | 0.72–0.85 | Differentiate similar specification steel products (such as Φ16mm and Φ18mm HRB400), preventing retrieval of mismatched quote data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing bulk quote Excel files for steel trade, single files have large data volumes, so extended parsing timeout is required |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports uploading monthly steel trade transaction summary files to meet bulk data import requirements |
Chunk Length | 1000 characters | Split long documents of steel quote data, ensuring each chunk contains complete product, specification and price information to facilitate model comprehension |
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 individual analysis, and it is recommended to conduct testing on internal samples before finalizing.
Three Common Mistakes
- Phenomenon: No export Word download link is displayed at the bottom after dialogue generation. Cause: The file export node is not configured in the workflow, or the generated daily report content is not correctly bound to the output field of the export node.
- Phenomenon: After upgrading to version 4.9.0, existing dialogue records are lost when refreshing the dialogue page, only new dialogues are displayed. Cause: Dialogue history persistence configuration is not enabled, or the database instance for dialogue storage is not correctly associated during deployment.
- Phenomenon: After configuring the system prompt, the AI prompts that no file has been uploaded and cannot interpret the built-in document content. Cause: The document has not been uploaded to the knowledge base and associated with the current application, or the system prompt does not correctly reference the knowledge base document ID and retrieval rules.
How to Verify Proper Configuration
- Initiate a test dialogue with specific steel product and specification, check if the AI can accurately return corresponding product price data without ambiguous expressions.
- Upload an Excel file containing multiple sets of steel quotes, check if the knowledge base can correctly parse all fields without missing or erroneous content.
- Conduct continuous multi-turn dialogue, ask about yield rates and market trends for different categories in sequence, check if the system can retain context information without repeating basic parameter questions.
- Trigger the dialogue export function, check if a Word file containing complete daily report content can be generated and a valid download link is provided.
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.