What This Category's Data Looks Like
Precious metals research reports primarily originate from professional financial information institutions, domestic and overseas precious metals exchanges, brokerage research institutes, and industry associations. Update frequency varies by content type: daily market tracking reports are updated per trading day, monthly supply and demand and policy interpretation reports are released monthly, and temporary updates are triggered by sudden market events. Most documents use a structured + semi-structured format, including fields for publishing institution, publication time, and core rating. Market data fields often mark purity such as AU9999, with units of yuan/gram or US dollars/ounce. Position holding data uses tons as the unit. Reports also include supply and demand calculation tables and investment recommendation modules.
Constraints for Multi-turn Dialogue and Prompting
The multi-unit fields in precious metals research reports require consistent unit conversion logic across multi-turn dialogue. Prompts must explicitly require the model to identify and convert price and position holding units mentioned by users, to avoid cross-turn unit confusion. Frequently updated report content requires the retrieval stage to limit the valid time range. Prompts must include time constraints to ensure returned content is timely. The diversity of sub-categories and purity parameters requires multi-turn dialogue to automatically associate category information from the context. Prompts must guide the model to automatically extract or request users to supplement the specific type of precious metal under discussion, to avoid mixing discussion objects across turns. Structured supply and demand tables and rating fields require multi-turn dialogue to retain analysis dimension context from previous turns. Prompts must explicitly require the model to associate analysis angles from historical dialogue, to avoid repeated questions or off-topic discussions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxHistoryTurns | 3–5 turns | Precious metals research report analysis covers dimensions including market trends, supply and demand, and policies. 3-5 turns can cover complete analysis logic and avoid context overload |
retrieval count | Top 8–12 entries | Precious metals research reports include multiple fields such as sub-categories, units, and ratings. Too many retrieved entries will overload prompt content, while too few will fail to cover all analysis dimensions |
similarity threshold | 0.75–0.85 | Precious metals research reports contain a large number of professional terms and sub-categories. A threshold that is too low will introduce irrelevant content, while a threshold that is too high may miss research reports related to relevant sub-categories |
reranked return count | Top 3–5 entries | Prioritize returning core research report content that best matches the current dialogue topic, to avoid redundant information disrupting the coherence of multi-turn dialogue |
maxContext | 8000–12000 characters | Must accommodate historical multi-turn dialogue content and retrieved research report snippets, to avoid truncation of critical information |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some structured research reports contain large amounts of tabular data, requiring longer parsing time to avoid interrupting the retrieval process due to timeout |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Each scenario requires separate analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Workflow dialogue shows failure but model testing works normally, and background has model response logs. Cause: Network access permissions for knowledge base retrieval were not correctly configured during deployment, causing the workflow node to fail to pull research report data. Only the model's own test can return results normally.
- Unable to obtain historical dialogue context when calling the searchTest node. Cause: Historical dialogue variables were not bound in the workflow, or context parameters were not correctly passed to the input fields of searchTest.
- Prompts do not work as expected, and historical context is not associated during multi-turn dialogue. Cause: The calling timing of prompts was not correctly configured, causing the model to not read historical dialogue content in each turn.
How to Verify Successful Configuration
- Initiate test questions involving different units to verify that the model automatically converts to preset reference units, confirming that unit conversion related configurations are effective.
- Initiate cross-turn sub-category questions to verify that the model can associate category information from historical dialogue, confirming that historical turn configurations are reasonable.
- View workflow detailed logs to confirm that each dialogue turn has retrieved research report data and historical context records, confirming that log configurations are correct.
- Adjust the retrieval count parameter to verify that the number of returned research reports matches the preset value, confirming that retrieval configurations are effective.
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.