What data for this category looks like
Data for cement-related due diligence reports comes primarily from manufacturing enterprise production outbound ledgers, regional port clinker transfer records, industry association monthly monitoring data, and infrastructure project filing information from housing and urban-rural development departments.
Update frequencies vary across data sources: Enterprise outbound data updates daily, port transfer data updates weekly, and aggregated data from industry associations and housing departments updates monthly.
A complete due diligence report includes fields such as basic enterprise information, clinker strength grade (unit MPa), daily production capacity (unit tons/day), inventory balance (unit 10,000 tons), regional sales price (unit yuan/ton), and downstream project signing volume. Some reports also include detailed cross-regional logistics cost data.
What constraints these characteristics impose on model access and configuration
First, multiple data sources with varying update frequencies require the model access workflow to support configurable scheduled synchronization rules. This avoids data lag or duplication caused by mismatched synchronization cycles.
Second, different fields carry dedicated units such as MPa, 10,000 tons, and yuan/ton. Unified field mapping rules must be configured during model access. Ensure values and units are bound before being sent to the model for processing, to prevent semantic splitting.
Third, core fields of cement due diligence reports focus on three dimensions: production, circulation, and downstream demand. Text chunks retrieved by the model must accurately match industry terminology, to avoid irrelevant cross-industry data. This requires adjusting parameter thresholds related to retrieval.
Fourth, the content volume of individual reports varies widely. The configuration must adapt to varying document parsing and context processing durations.
How to set the configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Cement due diligence reports contain multi-dimensional associated data, requiring sufficient context to link production capacity, price, and downstream demand fields |
chunkSize | 600–800 characters | Cement data fields are often bound to dedicated units. Chunking must retain complete field semantics to avoid separating values and units |
similarityThreshold | 0.75–0.85 | Accurate matching of cement industry terminology such as P.O42.5, clinker inventory is required. A threshold that is too low will introduce irrelevant industry data |
recallTopK | Top 4–6 results | Core associated fields of cement due diligence reports do not exceed 5 groups. Excessive retrieval will dilute the density of valid information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Individual cement due diligence reports often include multi-page historical statistical data, requiring sufficient parsing time to avoid mid-process timeouts |
UPLOAD_FILE_MAX_SIZE | 50 MB | Adapt to storage limits for multi-page documents when batch uploading industry monthly aggregated 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 on-site analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: After configuring the model URL and key, the test returns a
401 Unauthorizederror. Cause: The authentication key for the model service provider was not filled correctly, or the key does not have permissions for the corresponding interface. - Phenomenon: The model only returns the single text chunk with the highest matching degree. Cause: The
recallTopKparameter was incorrectly set to 1, or thesimilarityThresholdwas set too high, filtering out other relevant text. - Phenomenon: A
Connection errorprompt pops up during debugging. Cause: The correct interface path was not added to the configured model URL, or network policies restrict outbound requests.
How to confirm the configuration is complete
- Execute the model test interface, check that the returned response status code is
200 OK, and the response content includes the expected structured return format. - Upload a single cement due diligence report, verify that the parsed text chunks retain complete fields and units, with no splitting or loss.
- Launch a question-and-answer test focused on the association between cement production capacity and price, check that the number of retrieved text chunks falls within the preset
recallTopKrange. - Configure a daily synchronization task for enterprise outbound data, verify that the task can trigger normally and pull the latest data source content.
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.