What Data for This Category Looks Like
Refractory materials data used for financial due diligence primarily comes from factory quality inspection reports from production enterprises, category performance standard documents released by industry associations, on-site usage records from downstream construction projects using building materials, and compliance filing documents for corresponding bidding projects. Update frequency: Quality inspection data for single batches of products updates in real time as production ships. Industry standard documents are revised every 1 to 2 years. Downstream usage and filing data is aggregated monthly. Document structure: A single due diligence report includes four core modules: product batch number, physical properties, chemical composition, and applicable operating conditions. Fields have no unified abbreviations. Some manufacturers add custom additional parameter items.
What Constraints Do These Characteristics Impose on Model Access and Configuration?
These characteristics impose multiple constraints on the model access and configuration process. First, multi-source data includes structured quality inspection reports, unstructured standard documents, and compliance filing documents. This requires configuring adaptation rules for multi-source data access. Second, single-batch data updates in real time and comes from scattered sources. This requires configuring timed synchronization and field mapping fault tolerance mechanisms to prevent the model from using expired or mismatched data sources. Third, professional performance indicators have large naming differences. This requires configuring term matching weight rules to improve parameter recognition accuracy. Fourth, due diligence reports include project compliance content. This requires configuring sensitive information filtering rules to ensure data compliance in financial scenarios.
How to Set Configuration Values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Refractory materials due diligence reports include professional performance charts and multiple sets of parameters. This aligns with the parsing rules of FastGPT V4.9.3. A longer timeout prevents parsing interruptions. |
maxContext | 8000–16000 characters | Single due diligence report text has a long length. A suitable context window can fully load all core data. |
SIMILARITY_THRESHOLD | 0.75–0.85 | Distinguishes subtle differences between similar professional terms to avoid mismatching non-target performance parameters. |
RECALL_TOP_N | Top 8–12 entries | Covers multiple core professional indicators in due diligence reports to avoid missing key parameters. |
SYNC_INTERVAL_HOURS | Every 6 hours | Matches the real-time update rhythm of refractory material production and shipments to ensure data source timeliness. |
UPLOAD_FILE_MAX_SIZE | 200 MB | Meets the requirements for uploading complete reports with high-quality quality inspection photos and test data tables. |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: The debug preview interface cannot select the target connected model, or returns a
401 Unauthorizederror when called. Cause: The API key and access address for model access are not configured correctly, or the key permissions are insufficient. - Phenomenon: Misaligned fields or incorrect parameter matching appear in the parsed refractory materials due diligence report. Cause: No professional field mapping rules are configured, so the system cannot adapt to custom parameter naming formats used by different manufacturers.
- Phenomenon: The due diligence report generated by the model does not include performance data for the specified batch. Cause: The timed synchronization interval is set too long, so the latest batch of quality inspection data is not updated in a timely manner.
How to Confirm Successful Configuration
- Enter the model access management interface to verify that the configured API address, key, and model parameters match the target platform.
- Upload a single refractory materials due diligence report and check if the parsed fields cover core performance indicators with no obvious misalignment.
- Trigger a timed synchronization task to verify that the latest batch of quality inspection data is successfully imported into the knowledge base.
- Enter a professional performance parameter query in the debug preview interface to check if the content recalled by the model matches the target fields.
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.