Multi-turn Dialogue and Prompting for Energy Metals Research

What the data for this category looks like

Data sources for energy metals research reports include industry updates released by the domestic nonferrous metals industry association, spot quotes from futures exchanges, public financial reports of leading mining enterprises, and in-depth analysis documents from third-party industry consulting institutions. Update cadence is layered:

Spot price data updates daily
Monthly supply and demand balance reports are released per calendar month
Quarterly capacity survey data updates at the end of each quarter
Annual industry chain panorama reports are released once per year

Documents typically include core price quotation tables, supply and demand data modules, policy impact analysis, upstream and downstream enterprise updates, and risk warning sections. Fields include metal name, production capacity scale, total inventory, spot quotation, production volume data, and others. Units include ten thousand tons/year, ten thousand tons, yuan/ton, US dollar/ton, ton, and additional relevant units.

Constraints for multi-turn dialogue and prompting

Energy metals research reports have numerous field types and mixed units. Consistent unit alignment must be maintained across multi-turn dialogue to prevent the model from confusing price benchmarks across different categories. Hierarchically updated data sources require clear specification of data source time ranges in prompts to avoid calling expired data. Research reports contain a large amount of structured tabular data, so multi-turn dialogue must support follow-up questions about table details, and prompts must be configured to allow breakdown of table fields. The industry chain analysis dimensions vary widely across different research reports, so multi-turn dialogue needs to guide users to specify specific links to avoid generic responses.

Configuration Settings

Configuration Item	Recommended Setting	Rationale
`Recall count`	`Top 8-12 entries`	Energy metals research reports contain multi-dimensional structured data. Too many recalled entries will cause context overload, while too few will fail to cover complete supply and demand analysis logic
`maxContext`	`8000-12000 characters`	Single energy metals research reports have a relatively long length, so sufficient context must be retained to support the coherence of multi-turn dialogue and detailed follow-up questions
`Similarity threshold`	`0.72-0.78`	The energy metals field is dense with professional terminology. A threshold that is too low will introduce irrelevant documents, while a threshold that is too high may miss accurate segmented data content
`Rerank result count`	`Top 4-6 entries`	Prioritize recalling research report fragments containing core price, capacity, and inventory data to avoid redundant information interfering with model output
`Knowledge Base Chunk size`	`1000-1500 characters`	Energy metals research reports contain large amounts of structured tabular data. This segment length is matched to table splitting requirements to avoid disrupting the relevant connections between data
`enable_reference_cite`	`Enabled`	Reference sources must be returned in dialogue results to meet requirements for verifying data sources

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, and it is recommended to conduct testing on applicable samples before finalizing configuration values.

Three Common Misconfigurations

Symptom: The reference field in the returned results of the dialogue API call is empty, and no knowledge base ID is attached. Cause: The enable_reference_cite configuration item is not enabled, or the filter parameter for the corresponding knowledge base is not specified in the dialogue request.
Symptom: In a local deployment scenario, image URLs configured in the knowledge base cannot be displayed in dialogue results. Cause: The domain where the image URL is located is not added to the system whitelist, or the prompt does not configure rules allowing reference to external image links.
Symptom: The research report data output by the model in multi-turn dialogue does not match the time range specified by the user. Cause: The prompt does not clearly limit the update cycle and time interval of the data source, resulting in the recall of expired research report content.

How to Verify Proper Configuration

Send a single-turn dialogue request, verify that the returned results include the reference field with the kb_id parameter, to confirm that the reference configuration is effective.
Upload an energy metals research report containing image URLs, send a dialogue request involving image references, verify that the configured URL links are correctly returned in the results.
Launch a multi-turn follow-up dialogue, such as first requesting production capacity data for core metals and then requesting upstream and downstream associated data, verify that the model can coherently call the corresponding research report fragments.
Adjust the Similarity threshold configuration item, send a test dialogue, and compare changes in the recalled research report content to confirm that the configuration's impact on the recall logic meets expected standards.

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.