What the data for this category looks like
Refractory material research report data comes from industry association public reports, listed company technology R&D announcements, professional testing institution test data, and industry journals. This data supports industry analysis by financial institutions and product pricing reference for wealth advisors. Update schedules follow quarterly regular reports and annual in-depth reports. Temporary supplementary documents are generated when sudden raw material price fluctuations or industry policy adjustments occur. Document structures include core performance parameter modules, production process descriptions, and market supply and demand analysis. Fields include refractoriness, load softening temperature, and bulk density, with corresponding units of ℃, MPa, and g/cm³ respectively.
What constraints do these characteristics impose on the citation source and traceability link
The multi-source, dispersed nature of refractory material research reports, combined with financial sector compliance requirements, requires exclusive identification rules for different data sources. This prevents confusion of identical parameter types from different sources. Differences in update schedules between quarterly/annual regular reports and temporary supplementary reports require binding traceability to the document's release timestamp. This filters expired data and ensures the timeliness of analysis conclusions. The combination of professional performance parameters and specific units requires precise location of the original text paragraph corresponding to each parameter during traceability. This ensures accuracy of cited content. A large number of cross-document comparative parameter analyses appear in research reports. Traceability must associate reference positions of the same parameter across different documents. This facilitates cross-verification by users.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Number of Recalled Entries | Top 8-12 entries | Refractory material research reports have dense parameters. Too many recalled entries create redundant traceability paragraphs. Too few fail to cover core parameter citations |
Segment Length | 1000-1500 characters | Performance parameter paragraphs in refractory material research reports are typically long. Too short a segment breaks the connection between parameters and explanatory text. Too long a segment increases vector matching errors |
Similarity Threshold | 0.75-0.85 | Semantic matching accuracy for professional parameters is relatively high. A threshold that is too low introduces irrelevant documents. A threshold that is too high fails to recall relevant research reports |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large refractory material research reports contain large volumes of test data. Parsing takes a long time, and the default timeout may be insufficient |
Reranked Returned Entries | Top 5 entries | The most matching research reports must be returned first. This prevents users from viewing excessive redundant traceability content |
Citation Source Display Fields | Document Title, Release Time, Original Parameter Snippet | Users in the refractory material industry need to clarify the source document and release node of parameters. This confirms data timeliness |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: Only the document title appears in traceability results, and the original parameter snippet is not displayed. Cause: The
Citation Source Display Fieldsis not configured to include the original snippet, and only basic document metadata display is enabled. - Phenomenon: When calling the knowledge base search node in a workflow, the passed custom knowledge base variable does not take effect, and empty results are returned. Cause: The workflow's input variable is not correctly bound to the knowledge base selection parameter of the knowledge base search node, and the variable reference format does not match system requirements.
- Phenomenon: After parsing a large refractory material research report with more than 100 pages, a timeout error occurs during traceability. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not adjusted to a value suitable for large documents, and the default timeout is insufficient to complete full parsing.
How to Confirm Proper Configuration
- Upload a test refractory material research report, initiate a query containing professional parameters, and check if returned results include document metadata and original text snippets.
- Configure a workflow and pass custom knowledge base variables, trigger workflow execution, and confirm the knowledge base search node correctly calls the specified knowledge base.
- Upload a large research report with more than 100 pages, check the parsing log for timeout errors, and confirm the timeout parameter configuration matches the document scale requirements.
- Adjust the similarity threshold to different ranges, compare the relevance of recalled results, and confirm the threshold value fits the semantic matching requirements of professional parameters.
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.