What the data for this category looks like
Data for refractory materials intelligent due diligence reports primarily comes from industry standard specification documents, factory quality inspection documents from manufacturers, and kiln operating condition monitoring data. There are two update frequency categories: industry standard documents are updated quarterly or annually, manufacturer quality inspection documents are updated in sync with production batches, and condition data is collected in real time. Document structures typically include material identification, physical and chemical performance parameters, applicable application scope, test number and production batch information. Fields and units follow clear specifications: for example, refractoriness is measured in degrees Celsius, bulk density in grams per cubic centimeter, and application temperature ranges are marked as temperature ranges.
Constraints imposed on multi-turn dialogue and prompt engineering
Data sources for refractory materials are scattered with significant format differences. Multi-turn dialogue must associate parameter information from different sources, and prompts must clearly distinguish recall rules for industry standard, manufacturer quality inspection, and condition monitoring documents. Update cycles vary widely: real-time condition data requires frequent recall updates, industry standard documents require fixed citations, so prompts must include a priority differentiation mechanism. Fields and units have clear specifications, so multi-turn dialogue needs unified unit conversion logic to avoid parameter confusion, and prompts must enforce standard unit formats for parameters. Documents include production batches and test numbers, so multi-turn follow-ups must associate corresponding identifiers to match precise parameters, and prompts must include identifier filtering instructions.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Refractory material due diligence reports require association of multiple sets of physical and chemical parameters and batch information. A sufficient context window preserves the association logic for multi-turn follow-up questions |
recall_top_k | Top 8–12 results | Refractory material documents contain multi-dimensional parameters, requiring a sufficient number of recalled results to cover fields such as material, testing, and operating conditions |
similarity_threshold | 0.75–0.85 | Filters redundant documents unrelated to the target material, avoiding off-topic responses in multi-turn dialogue |
prompt_template_custom | Prioritize referencing industry standard parameters, and filter target documents using production batches and test numbers | Refractory material data sources have significant differences; clear prompt rules unify the recall and citation logic for multi-turn dialogue |
parse_chunk_size | 600–800 characters | Physical and chemical parameter sections in refractory material documents are lengthy. This chunk size preserves the integrity of parameter groups, avoiding broken associations after splitting |
tool_call_context | Retain parameter context from the first 3 turns of dialogue | Multi-turn follow-ups require association of previously mentioned production batches and test numbers. Passing context ensures coherent follow-up logic |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: Multi-turn dialogue produces off-topic responses starting from the second question, and cannot associate the production batch mentioned in the previous turn. Cause: The
maxContextparameter is not configured, or its value is too small to retain sufficient dialogue context. - Issue: Unable to specify recall of quality inspection documents from a specific manufacturer, and the model randomly recalls irrelevant content. Cause: No document source or batch filtering instruction is included in the custom prompt, or the
similarity_thresholdis set incorrectly. - Issue: Unable to use the custom prompt template, and no corresponding configuration item appears in the interface. Cause: The deployed open-source version is lower than
V4.9.0, and this function is not available in earlier versions.
How to Verify Proper Configuration
- Initiate two consecutive follow-up questions: first query the physical and chemical parameters of refractory materials for a specified production batch, then initiate a further operating condition adaptation query based on that batch, and verify whether the model associates the batch information mentioned in the previous turn.
- Attempt to initiate a query specifying a specific document type or source, and verify whether the model only recalls content from the corresponding category of documents.
- Check the currently used open-source version, and confirm that configuration items such as custom prompts and context retention are editable.
- View the number of recalled results for a single dialogue, and adjust the value of the corresponding configuration item to cover the required parameter dimensions.
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.