What Data for This Category Looks Like
Precious metals research report data primarily comes from brokerage institute reports on the precious metals industry, public market documents and industry analysis content from the Shanghai Gold Exchange and the London Bullion Market Association (LBMA). Spot market data updates in real time. Industry supply and demand reports are typically updated monthly, quarterly, or after major policy releases; some emergency market-related reports are published after trading hours. Documents include modules such as market summaries, supply and demand data tables, price trend analysis, and policy impact interpretations. Fields include product name, price (mostly quoted in USD/oz and CNY/g), position volume, trading volume, and some documents include historical data comparison charts.
Constraints Imposed by These Characteristics on Model Access and Configuration
The high-frequency updates of real-time market data require configuring scheduled incremental vector import tasks to avoid resource waste from full repeated imports. Unit differences across multiple data sources (such as USD/oz and CNY/g) require the model to recognize and unify unit semantics, so the vector model must have embedding capabilities for professional domain terminology. A large number of structured tables and unstructured analysis texts exist in research reports, so reasonable chunking parameters need to be configured to avoid damaging the semantic integrity of tables or paragraphs during splitting. Some research reports contain mixed Chinese and English terms, so embedding models and dialogue models adapted to professional domains must be selected to improve the accuracy of retrieval and answering.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
vectorModel | text-embedding-ada-002 or bge-large-zh-v1.5 | Precious metals research reports contain a large number of mixed Chinese and English professional terms. These models deliver more stable embedding effects for professional domain semantics |
chunkSize | 800–1200 characters | Supply and demand tables and market analysis paragraphs in precious metals research reports usually fall within this length range. Excessive length leads to mixed semantics, while insufficient length loses contextual connections |
recallTopK | Top 10–15 results | Precious metal price fluctuations are affected by multiple factors such as supply and demand, policies, and international situations. A sufficient number of relevant research report fragments must be recalled to support responses, while avoiding interference from redundant information |
similarityThreshold | 0.75–0.85 | Semantic similarity differentiation for precious metals professional terms is relatively high. This threshold filters irrelevant general research report content and retains highly relevant professional fragments |
promptTemplate | Fixed template: "Please answer the question using the following precious metals research report fragments: {context}, Question: {query}" | Clearly separate the research report context and user questions to avoid model confusion of input sources, and guide the model to prioritize answering based on research report content |
apiTimeout | 60 seconds | Queries related to precious metals real-time market data require processing a large amount of vector recall calculations. A timeout will cause query failures; this duration covers computing requirements for most scenarios |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: Empty results are returned during vector recall testing, or recalled content is unrelated to precious metals. Cause: The
similarityThresholdis not set to a reasonable range, causing relevant professional content to be filtered out, or thechunkSizeis set too large, leading to loss of embedded information. - Issue: The dialogue model fails to recognize units separated by spaces in research reports (such as "100 oz"), causing calculation errors. Cause: The prompt template does not explicitly require the model to retain the space format of the input text, or no guiding statement for unit recognition is added.
- Issue: Testing returns a
403 status code (no body)error after adding a locally deployed model. Cause: Correct API key permissions are not configured, or access restrictions for the local service are not lifted, causing model call requests to be blocked.
How to Confirm Proper Configuration
- A locally saved precious metals research report document is uploaded, and the chunked results following vector import are reviewed to confirm alignment with the preset chunk length configuration.
- A query containing precious metals professional terms is entered, and recalled research report fragments are checked for relevant content, with the
similarityThresholdadjusted to a suitable range. - The model test interface is called, and the returned response time is checked to confirm it falls within the preset
apiTimeoutrange, verifying normal API connectivity. - Model call logs are reviewed to confirm that call parameters for both the vector model and dialogue model match the configured settings, with no parameters omitted.
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.