Multi-turn Dialogue and Prompt Engineering for Minor Metal Yields

Minor metal data primarily originates from domestic non-ferrous metal spot trading markets, publicly available industry association survey data, and

What the data for this category looks like

Minor metal data primarily originates from domestic non-ferrous metal spot trading markets, publicly available industry association survey data, and futures exchange delivery settlement prices. Update frequency varies by data type: spot quotes are updated daily on trading days, industry inventory and import/export statistical data is released weekly or monthly, and futures market data is updated synchronously following each trading day’s close. Most documents are structured tables, with fields including product identifier, daily transaction average price, benchmark delivery price, inventory balance, origin label. Units include yuan/kilogram, yuan/ton, ton, and others. Some sub-categories also include purity parameters and corresponding specifications.

Constraints on Multi-turn Dialogue and Prompt Configuration

The characteristics of minor metal data impose multiple constraints on multi-turn dialogue and prompt setup. First, update frequencies differ significantly across data types. Rules for accessing real-time spot market data and historical statistical data must be clearly defined in prompts to prevent the model from returning outdated information. Second, field units include multiple types such as yuan/kilogram and yuan/ton. Prompts must require replies to include corresponding units to avoid confusion across products with different units. Additionally, there are many sub-categories of minor metals, and fields include parameters such as purity and specifications. Multi-turn dialogue must prompt for clear specification of the target product and statistical cycle to ensure retrieved data accurately matches requirements.

How to Set the Configuration

Configuration ItemRecommended ValueRationale for This Setting
maxContext8000–12000 charactersMinor metal data has many fields, and multi-turn dialogue requires retaining sufficient historical interactions and retrieved data to avoid context overflow
RECALL_TOP_NTop 8–12 resultsThere are many sub-categories of minor metals; too many retrieved results increase the model’s processing load, while too few fail to cover all relevant data
PROMPT_TEMPLATEMust include "Please clearly specify the minor metal product, statistical cycle, and required fields. Replies must include corresponding units"Minor metals have diverse units and similar sub-category names, so mandatory guidance for key information supplementation is needed to avoid confusion
PARSE_FILE_TIMEOUT_SECONDS300 secondsMonthly industry survey documents usually contain multiple pages of structured tables, so sufficient time must be reserved for complete parsing
SIMILARITY_THRESHOLD0.75–0.85Minor metal product names have high similarity, so a reasonable threshold must be set to filter irrelevant retrieved results
UPLOAD_FILE_MAX_SIZE50 MBThe file size of single minor metal industry statistical documents usually does not exceed this threshold, preventing parsing failures for large files

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 testing on internal samples is recommended before finalizing settings.

Three Common Configuration Errors

  • The model returns "no matching content in the knowledge base" during dialogue, but all uploaded minor metal documents are visible on the knowledge base page. Cause: RECALL_TOP_N or SIMILARITY_THRESHOLD is not configured correctly, resulting in retrieved results failing to cover the target minor metal data, or the similarity threshold being set too high to filter valid content.
  • After uploading an XLSX-format minor metal market document, the dialogue fails to recognize table fields. Cause: The PARSE_EXCEL_AS_TABLE configuration is not enabled, or merged cells in the document cause structured parsing failures.
  • The model confuses units and price values across different minor metal products during multi-turn dialogue. Cause: The prompt does not require replies to include corresponding units, and the initial interaction does not prompt for clear specification of the exact product and specification parameters.

How to Verify Proper Configuration

  • Upload a structured minor metal market document, navigate to the knowledge base preview page, and confirm the document has been correctly parsed into identifiable fields.
  • Initiate a general query such as "Minor metal yields and market trends", and observe whether the model prompts for specific product, statistical cycle, and required field information.
  • Adjust the retrieval and similarity-related configurations, initiate the same query, and compare the quantity and relevance of retrieved results to confirm the parameter settings meet current requirements.
  • Test uploading minor metal data documents of different sizes, and confirm that the upload and parsing timeout configurations cover conventional file processing needs.

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.