What the data for this category looks like
Precious metals investment research data primarily comes from real-time quotes from the Shanghai Gold Exchange, daily fixing prices from the London Bullion Market Association (LBMA), contract data from domestic futures exchanges, industry research reports, and public financial reports from mining companies. Real-time quote data updates at second-level intervals. Fixing prices are released at fixed times each day. Research reports and financial reports have no fixed update cycle.
Document structure includes two main types: structured quote tables with fields including product code, latest price, trading volume, and price change percentage, and unstructured research reports including core data, risk ratings, and cross-market analysis. Units include multiple measurement standards such as yuan/gram, US dollars/ounce, and kilogram. Some data requires cross-market unit conversion.
What constraints these characteristics impose on deployment and upgrade
The second-level real-time quotes, multi-unit measurements, long-text research reports, and multi-data source characteristics of precious metals investment research data impose clear constraints on deployment and upgrade workflows.
High-frequency real-time quote updates require the knowledge base to support second-level incremental pull synchronization. Low-frequency scheduled synchronization tasks are not suitable here. A real-time data push interface must be configured.
Multi-unit and cross-market data requires unified conversion during the parsing phase. Additional unit mapping rules must be configured during deployment.
Individual research reports can be several thousand words long. Parsing these requires longer timeout periods. Resource scheduling for large file parsing must be supported during upgrades.
Multi-data source integration requires configuration management of multiple API keys during deployment. Upgrades must adapt to version changes in data source interfaces to prevent synchronization failures caused by data source updates.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Individual precious metals research reports can be several thousand words long. Standard timeout periods are insufficient for complete parsing. |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Support batch upload of multiple large research report documents, avoiding size limit triggers for single uploads. |
maxContext | 8000–12000 characters | Support complete context requirements for precious metals cross-market data comparison and multi-dimensional market analysis. |
Recall count | Top 8 results | Cover multi-dimensional information required for investment research including quotes, research reports, and industry updates, avoiding redundant recall results. |
Similarity threshold | 0.75–0.85 | Accurately match professional precious metals-related data, filtering out irrelevant general information. |
Rerank result count | Top 5 results | Focus on core investment research information, avoiding model output redundancy caused by too many fragments. |
The parameter values provided on this page are general recommendations used as starting points for configuration. Actual values are affected by material format, 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
- Scenario: After starting a Docker container, a question-answering request returns an empty result or HTTP 500 error. Cause: API keys for precious metals data sources are not configured, or the model service referenced by the environment variable
OPENAI_API_BASEcannot normally pull quote data. - Scenario: Source code compilation fails on Windows systems, with the error message “error MSB8020: The build tools for v143 (Platform Toolset = 'v143') cannot be found”. Cause: The MSVC toolset for Visual Studio 2022 or later is not installed, so the toolchain version required for compilation cannot be matched.
- Scenario: After deploying a large model locally, the same question returns slightly different results each time. Cause: Fixed recall rules for the knowledge base are not enabled, or the
REPROMPT_THRESHOLDparameter is not configured, resulting in random differences in recalled knowledge base fragments across requests.
How to confirm configurations are properly set
- Upload a precious metals spot quote document, verify that the parsing task status shows success, and that the parsed text includes correct fields such as product code, price, and unit.
- Initiate a query that includes a specific precious metals product, confirm that the returned results include matching data source information, with no unit conversion errors or missing fields.
- Modify one configuration parameter and restart the service, check that the configuration takes effect in the interface or running logs, with no error prompts.
- Batch upload multiple different types of precious metals documents, verify that the upload queue completes normally, with no timeout or truncation prompts.
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.