What Data for This Category Looks Like
Refractory materials industry investment research data primarily comes from national building materials industry standard documents, manufacturer quality inspection reports, kiln operation condition monitoring data, and industry association statistical materials. Standard documents are updated every 3 to 5 years. Enterprise quality inspection reports are updated alongside production batches. Condition monitoring data is updated every second.
Document structures mostly include composition test items such as Al₂O₃ and MgO content, physical and chemical performance indicators including refractoriness and load softening temperature, application scenario parameters, and industry supply and demand data. Fields have clear units. For example, refractoriness uses degrees Celsius as the unit, and bulk density uses grams per cubic centimeter as the unit.
Constraints on Multi-turn Dialogue and Prompt Engineering
The multi-source data characteristics of the refractory materials investment research field impose multiple constraints on the multi-turn dialogue and prompt engineering process.
High precision is required for composition and physical and chemical indicator values. Multi-turn dialogue must retain unit information from context to avoid unit confusion in investment research conclusions. Condition data is updated every second. The system must support real-time calls to the latest monitoring data to ensure the timeliness of investment research analysis. Document structures cover multi-dimensional parameters. Multi-turn dialogue must split retrieval logic by application scenario or sub-categories to ensure retrieved content matches the current investment research topic. Data formats vary across different sources. Prompt engineering must specify a unified output specification. Unify the presentation of fields and units to improve the readability of investment research reports.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single refractory materials investment research document or quality inspection report is mostly 3000–5000 characters long. Multi-turn investment research dialogue needs to retain 2–3 rounds of context |
recallTopK | Top 6–8 results | Refractory materials data fields cover composition, operating conditions, supply and demand and other dimensions. A sufficient number of retrieved contents are required to match investment research needs |
similarityThreshold | 0.75–0.85 | Filter irrelevant cross-category refractory materials data. Avoid retrieving confused content between steel kiln and cement kiln materials |
promptTemplate | Output results in units specified by the user. Retain original data field names. Do not use Markdown formatting | Align with the standardized output requirements of investment research reports. Avoid format confusion that affects analysis |
autoSplitChunkSize | 1000–1500 characters | Refractory materials documents mostly contain continuous parameter lists. Segmentation must retain field integrity. Avoid splitting that disrupts data logic |
enableRealTimeRecall | Enabled | Condition monitoring data is updated every second. Real-time access to the latest data is required to support investment research analysis |
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. Analyze specific issues on a case-by-case basis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: Dialogue results are only displayed in the sidebar popup, with no direct output in the main dialogue window. Cause: The
enableInlineReplyparameter is not enabled. Under the default configuration, results are only displayed in the sidebar popup. This does not meet the needs of investment research personnel to quickly view complete replies. - Issue: A new session must be created for each new investment research query. Historical dialogue context cannot be continued. Cause: The
persistContextparameter is not enabled, or the session context retention duration is set too short. This prevents coherent progression of investment research dialogues. - Issue: AI replies automatically use Markdown formatting such as bold and list syntax. This does not meet the standardized output requirements of investment research reports. Cause: The prompt template does not explicitly disable Markdown formatting. The default base template includes formatting requirements.
How to Verify Proper Configuration
- Launch a multi-turn investment research dialogue that includes refractory materials composition parameters. Check whether reply results are directly displayed in the main dialogue window to confirm that the
enableInlineReplyconfiguration takes effect. - Launch 3 consecutive investment research queries targeting the same kiln-used refractory materials. Check whether replies continue context information from the previous round to confirm that the
maxContextandpersistContextconfigurations are reasonable. - Launch an investment research query that includes unit requirements. Check whether replies do not use Markdown formatting and unify field units to confirm that the
promptTemplateconfiguration meets requirements. - Upload a latest refractory materials condition monitoring data set. Launch a real-time data query. Check whether results include the latest monitoring values to confirm that the
enableRealTimeRecallconfiguration is enabled.
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.