What Data Looks Like for This Category
Cement industry data primarily comes from monthly public data released by national building material industry associations, public quality inspection reports from production enterprises, and regional supply chain quotation ledgers. The core update cycle is monthly. Some regional spot price data is updated daily. Standard documents include fields such as product grade, compressive strength, 3-day/28-day strength indicators, production capacity scale, and regional ex-factory prices. Units use industrial general measurement standards including megapascals (MPa), tons, and yuan per ton. The length of a single complete due diligence document varies widely. Set the length based on available samples or actual measurements.
Constraints Imposed on Citation and Traceability
The characteristics of cement industry data impose three core constraints on the citation and traceability link. First, monthly updated industry data and daily updated spot price data coexist. Distinguish time dimension tags during traceability to avoid citing expired information. Second, single due diligence documents have long lengths. Limit the length of single recalled content to avoid exceeding the LLM context window. Third, multi-dimensional segmented fields such as grade, region, and strength indicators require precise matching of field names and values during traceability to avoid cross-category confusion. Cross-regional supply chain data also needs to link source location identifiers to ensure traceability information can be traced to specific release channels.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
recall TopK | 10-15 | Cement due diligence documents contain multi-dimensional segmented fields. Recall enough entries to cover core information such as product grade, strength indicators, and regional prices, to avoid missing key data |
similarity threshold | 0.72-0.80 | Cement industry terminology is highly professional. Use a higher threshold to filter irrelevant recall results and avoid confusion between detection data of different grade products |
rearranged return count | 5-8 | Single due diligence documents have long lengths. Limit the number of returned entries to adapt to the LLM context window while retaining traceable fragments covering core indicators |
citation context length | 800-1200 characters | Detection data groups in cement due diligence documents are mostly coherent paragraphs. Single-section context must cover complete indicators and source identifiers to avoid splitting that disrupts data logic |
knowledge base time filter | Recall only data from the past 3 months | Cement spot prices are updated daily, and industry association data is updated monthly. Limit the time range to avoid citing expired production capacity or price information |
traceability link binding rule | Splice the original source URL according to the document upload path | Most cement original data comes from public industry platforms. Bind recalled content to the original release link of the corresponding document to meet the traceability requirements of due diligence reports |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. Conduct tests on available samples before finalizing.
Three Common Misconfiguration Issues
- Phenomenon: When calling knowledge base search in a workflow, returned traceable citation fragments are truncated to within 3000 characters, and complete cement strength detection data cannot be displayed. Cause: The
maxContextparameter in the workflow was not adjusted for long documents of the cement category, and the default short text configuration was retained. - Phenomenon: The AI-generated due diligence report does not display original document links, only document fragment content. Cause: The
traceability link binding ruleconfiguration was not enabled, or the binding rule was not correctly associated with the URL path of the original release platform. - Phenomenon: Recall results mix detection data of different cement grades, such as confusing compressive strength data of P.O42.5 with P.C32.5. Cause: A reasonable range for the
similarity thresholdwas not set, orknowledge base filter conditionswere not added to screen recall content by product grade.
How to Confirm Proper Configuration
- Launch a knowledge base search test for the cement due diligence scenario, and check whether the number of returned recall entries matches the preset
recall TopKconfiguration. - View the traceable citation fragments in the AI response, confirm that the single-section length does not exceed the preset
citation context length, and that there is no obvious content truncation. - Click the traceability link to confirm that it jumps to the original release platform of the corresponding cement data, and that the recalled fragments fully match the fields and values in the document.
- Adjust the
similarity thresholdto different ranges, compare the redundancy of recall results, and confirm that the current value adapts to the professional term matching requirements of the cement industry.
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.