What the data for this category looks like
The data for cement due diligence reports primarily comes from monthly statistical reports of the China Building Materials Federation, public financial reports of building material manufacturers, weekly building materials industry operation monitoring reports from the Ministry of Industry and Information Technology, and third-party supply chain logistics ledgers. Data update cycles include weekly, monthly, and quarterly. Monitoring data is updated weekly, industry association statistical data is updated monthly, and corporate financial reports are updated quarterly. Document structures include daily structured transaction data in CSV format, industry analysis reports in PDF format, and production capacity and inventory tables in Excel format. Fields and units include clinker strength (MPa), cement grade (such as P.O42.5), production capacity (10,000 tons/year), price (yuan/ton), inventory (10,000 tons), and others.
Constraints on multi-turn dialogue and prompt engineering
Differences in update frequencies across multiple data sources require that multi-turn conversations clearly specify the statistical cycle of the data. Prompts must guide the model to distinguish between weekly, monthly, and quarterly data to avoid mixing results from different cycles. Mixed structured and unstructured document formats require multi-turn conversations to adapt to parsing rules for different data formats. Prompts must explicitly require matching corresponding units when extracting structured fields. Large documents and numerous fields require sufficient conversation context length to prevent key parameters from being lost due to context truncation. At the same time, the number of recalled entries must be controlled to cover all core metrics.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Cement due diligence reports contain multi-page structured tables and industry analysis, requiring sufficient conversation context to avoid missing key parameters |
recall_top_k | Top 6–8 entries | Cement industry data has rich fields, requiring sufficient associated fields to cover core metrics such as production capacity, price, and inventory |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large monthly industry statistical reports take longer to parse, preventing parsing processes from being interrupted by timeouts |
similarity_threshold | 0.72–0.78 | The cement industry has a large number of professional terms, requiring a balance between recall accuracy and coverage of non-standard terms |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Quarterly supply chain ledger files have large sizes, adapting to the demand for uploading large-capacity data |
prompt_template | Output cement industry data classified by statistical cycle | Cement data has diverse update cycles, clear classification helps users quickly locate information for the corresponding cycle |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Conversation return results do not include source links or document fragments. Cause: The
enable_citationconfiguration item is not enabled, or the prompt does not explicitly require labeling data sources. - Phenomenon: Refreshing the page displays the error "No available index model detected". Cause: The dedicated index model for cement due diligence is not bound to the corresponding agent, or the index model update task is not triggered according to the data cycle, resulting in cache expiration.
- Phenomenon: Downloaded conversation files expire and cannot be viewed. Cause: The
download_expire_timeconfiguration item is not adjusted, and the default validity period is set too short.
How to Confirm Proper Configuration
- Initiate multi-turn questions containing cement industry terminology, and verify that returned results include structured data and source annotations for the corresponding statistical cycle.
- Upload a single cement ledger file meeting configured size requirements, and confirm that parsing tasks have no timeout errors and generate valid indexes.
- Trigger the index model update task, and verify that index entries for the corresponding cement due diligence data are generated in backend logs.
- Start a historical conversation session saved for more than one month, and confirm that continued questioning around the original topic yields valid answers.
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.