What this category of data looks like
Precious metals investment research data comes from three main sources: official exchange market quotation APIs, industry association reports, and macroeconomic databases. Quotation data includes real-time or minute-by-minute product quotes such as AU9999 and London Gold, trading volume, and position holdings. Research report data includes industry supply and demand analysis, policy interpretation, and linked market correlation analysis. Macro-related data includes linked indicators such as the U.S. dollar index and crude oil prices. Document structure falls into three categories: structured market snapshots, semi-structured research report fragments, and unstructured industry dynamics. Unit standards vary across fields. Domestic quotations use yuan/gram as the unit. International quotations use US dollars/ounce. Position holdings use tons as the unit. Update frequency differs by data type. Market data updates minute by minute. Research report data updates daily. Macro-linked data updates daily.
Constraints on knowledge base retrieval and recall
The multi-source and multi-unit nature of precious metals data requires the retrieval process to first complete unit unified mapping. Without this step, chaotic quotations for the same product will occur. Real-time market data updates at high frequency. The knowledge base incremental update frequency must match this rate. Otherwise, recalled old data will fail to meet investment research timeliness requirements. Multiple document types coexist in the dataset. The retrieval system must support both exact matching for structured data and semantic matching for unstructured text. A single matching logic cannot cover all data scenarios. Precious metals market fluctuations tie closely to macro policies. User searches usually require linking market and research report content. Recall result ranking must prioritize latest data and core related fields. Otherwise, the reference value of investment research will decrease.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 10-15 entries | Precious metals data has high density. Excessive recalled content will exceed the context window and affect subsequent generation logic |
similarity threshold | 0.75-0.85 | Structured market data has clear features. A threshold that is too low will introduce irrelevant data, while a threshold that is too high may miss valid market snapshots |
chunk length | 800-1200 characters | Adapts to the length of research reports and parsed market text, avoiding truncation of critical supply and demand analysis or quotation data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large industry research report documents take a long time to parse. The default timeout period is insufficient for complete parsing |
incremental update frequency | 5 minutes (market data), daily (research report data) | Matches the release and update rhythm of real-time precious metals market data and research reports, ensuring the timeliness of recalled data |
maxContext | 8000-12000 characters | Covers the context of precious metals data associated with multiple fields, supporting simultaneous recall of market, research report, and macro-linked data |
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. It is recommended to test on your own samples before finalizing the configuration.
Three common configuration errors
- Phenomenon: API retrieval results differ from platform test results. Cause: The target knowledge base is not correctly associated during API calls, or similarity threshold and recall count configurations differ between production and test environments.
- Phenomenon: Retrieval results include precious metals quotations with inconsistent units. Cause: No field unit mapping rules are configured. This leaves market data from different sources—such as domestic yuan/gram and international US dollars/ounce—unaligned.
- Phenomenon: Retrieval returns empty results or a 504 timeout status code. Cause: Incremental update frequency is set too high. This causes excessive real-time market data to load during retrieval, exceeding system processing thresholds.
How to verify correct configuration
- Upload a document containing the latest domestic AU9999 and London Gold quotations. Run a retrieval, then check that recalled results include complete quotation data after unit unification.
- Adjust the similarity threshold and run multiple retrievals. Observe changes in recall result relevance to confirm the threshold matches current data characteristics.
- Call the API with parameters identical to platform test parameters. Compare the two retrieval results to confirm they match.
- View the knowledge base incremental update logs. Confirm that market data and research report update frequencies match preset settings.
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.