What the data for this category looks like
Refractory material research report data mainly comes from public reports from industry associations, annual and quarterly financial reports of listed companies, professional academic journals, and third-party industry monitoring databases. Update cycles include quarterly regular updates, annual industry summaries, and temporary supplementary reports triggered by scenarios such as raw material price fluctuations and kiln technology iterations. Document structures usually include modules such as raw material cost proportion, product physical and chemical indicators, downstream application field proportion, and market supply and demand data. Fields involve refractoriness, bulk density, production capacity, and price, with corresponding units of ℃, g/cm³, ten thousand tons/year, and yuan/ton.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Dispersed data sources require multi-turn dialogue to support integration of multi-source recall results, avoiding limitations of single data sources. Diverse update cycles require configuration to support incremental updates triggered both on a scheduled basis and manually, to meet synchronization needs for temporary reports. Specialized fields and fixed units require prompt engineering to clearly mark unit rules, avoiding unit confusion during multi-turn dialogue. Complex document structures require multi-turn context to retain key information such as product types and application scenarios from historical questions, ensuring accurate matching for subsequent questions.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single refractory material research report often contains multiple pages of professional content. Multi-turn dialogue must retain multi-turn context and multiple recalled document fragments to avoid loss of key information |
recall_top_k | Top 8–12 entries | Refractory material research reports are dense with specialized terminology. Too many recalled entries will exceed the context window, while too few will miss key physical and chemical indicators and market data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Professional research reports containing large numbers of tables and charts take longer to parse. This setting adapts to parsing requirements for large-volume documents |
prompt_template | For refractory material research report retrieval, answer using physical and chemical indicators and market data from {context}, retain units marked in the original text. Multi-turn dialogue must link product types and application scenarios from historical questions | Clearly define specialized field and unit rules, constrain context association logic for multi-turn dialogue, and avoid misunderstanding of professional information |
enable_incremental_update | Scheduled daily trigger + manual trigger | Balance synchronization needs for quarterly regular research report updates and temporary emergency reports |
similarity_threshold | 0.75–0.85 | Specialized terminology matching requires a relatively high similarity threshold to filter irrelevant non-professional content |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Issue: When calling via API, conversation logs only display research report titles and do not return retrieved body content. Cause: The recall range for
recall_top_kis not configured correctly. Only document metadata is pulled, not body fragments. - Issue: Parsing time for refractory material research report documents over 10MB exceeds the preset threshold, triggering a timeout error. Cause: The value set for
PARSE_FILE_TIMEOUT_SECONDSis insufficient, failing to adapt to parsing requirements for professional documents containing large numbers of physical and chemical indicator tables. - Issue: In multi-turn dialogue, subsequent questions cannot link previously mentioned refractory material categories, requiring repeated description of product parameters. Cause: Context association rules are not configured in
prompt_template, and key field information from historical interactions is not retained.
How to Confirm Correct Configuration
- Submit a question about refractory material physical and chemical indicators, verify that returned results include units marked in the original text, and no unit confusion occurs.
- Submit two consecutive questions. First, ask for parameters of a specific refractory brick. Second, ask for its application in steel kilns. Verify that the result links product information from the first question.
- Upload a research report document over 10MB, verify that the parsing task does not trigger a timeout, and returned document fragments are complete.
- Call the API interface, verify that returned results include body recall content, and do not only return document titles.
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.