What this type of data looks like
Precious metals investment research data sources include official exchange market data APIs, industry association reports, third-party market terminals, and professional research reports. Real-time market data updates every 10 seconds, and includes fields such as product code, latest price, settlement price, and trading volume. Quotation units vary by product: gold uses yuan/gram, silver uses yuan/kilogram. Trading volume is measured in lots or kilograms. Daily warehouse receipt reports are updated once per day, and record warehouse location, inventory quantity, and update date in table format. Semi-structured industry research reports are mostly PDF documents with charts, containing supply and demand analysis and policy interpretations. Unstructured information is published as web pages or plain text, covering industry updates and market commentary.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
High-frequency real-time market updates require multi-turn dialogue to dynamically call real-time data sources, rather than relying on outdated content from static knowledge bases. Differences in units across products require prompt engineering to preset unified conversion rules, to avoid unit confusion during dialogue. The mixed presence of multiple document types requires clear distinction between structured market data and unstructured research report call logic in the interaction workflow. Daily updated warehouse receipt data requires multi-turn dialogue to explicitly specify query date ranges, to ensure that the latest inventory information is retrieved. Cross-product investment research comparison needs require prompts to support alignment and correlation analysis of fields across different products.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | First 12000-15000 characters | Single precious metal research report content is lengthy, so sufficient context must be retained for multi-turn logical association and cross-product comparison |
Recall count | Top 8-10 entries | Structured market data has few entries but high precision requirements, so high-match structured documents must be prioritized for retrieval |
Similarity threshold | 0.75-0.85 | Precious metal market data has high field precision requirements, so low-match irrelevant research report content must be filtered out |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large PDF research reports takes a long time, so the timeout duration must be extended to avoid parsing failures |
Chunk size | 800-1000 characters | Precious metal data includes long sections of supply and demand analysis and market sequences. Excessively long segments lose context association, while excessively short segments destroy data integrity |
Rerank result count | Top 3-5 entries | Multi-turn dialogue must focus on core investment research data to avoid redundant information interfering with logical deduction |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: A
401 Unauthorizedstatus code is returned when calling the SDK to initiate a dialogue, and no valid response is obtained. Cause: The knowledge base ID is mistakenly passed as the application key, and theappIdandapiKeyparameters are not correctly retrieved. - Phenomenon: Precious metal quotation units are mixed incorrectly in multi-turn dialogue output, with yuan/gram and yuan/kilogram used interchangeably. Cause: No unified unit rule is preset in the prompt engineering, and no mandatory verification of data units is implemented in the dialogue workflow.
- Phenomenon: A
PARSE_TIMEOUTerror occurs when parsing large precious metal research reports, and the dialogue cannot be triggered normally. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default short timeout duration cannot complete long document parsing.
How to confirm the configuration is correct
- Initiate a test dialogue including specific precious metal products and quotation units, and verify that returned data units match preset unified rules.
- Upload a single large precious metal research report, and check whether the parsing task status shows completion with no timeout-related errors.
- Use the official SDK to initiate a dialogue request, and verify that submitted
appIdandapiKeycan obtain normal responses. - Initiate more than 3 consecutive rounds of investment research dialogues, and check whether context is correctly retained and used for logical deduction.
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.