What data for this category looks like
Coverage liability data primarily comes from three sources: the existing insurance clause library in insurance companies’ core business systems, electronic policy attachments submitted during the insurance application process, and liability identification materials submitted when filing a claim. There are two update cycles for this data: Clause-related data is updated quarterly or annually alongside insurance product iterations. Claim-related data is generated in real time during the claims process. Each individual coverage liability document includes fields such as liability name, compensation ratio, deductible, annual compensation limit, applicable insurance type scope, effective and expiration dates. Most units for these fields are yuan, percentage, and calendar days.
What constraints these characteristics impose on deployment and upgrade
Because coverage liability data has heterogeneous sources across multiple systems, a cross-system data synchronization link must be configured during deployment to ensure format alignment between the clause library and claim data. Periodic updates to clause-related data require pre-built version compatibility logic during the upgrade process. This prevents conflicts between new clause fields and existing parsing rules. Specific units such as yuan, percentage, and calendar days used in fields require preset unit validation rules during deployment. This prevents misalignment of data units after parsing. Real-time generated claim-related data requires adjusting the vector recall refresh interval during deployment. This ensures response timeliness for claim initial review.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Coverage liability documents often contain long, cohesive clause text, leading to long parsing times. This range avoids timeout interruptions to the parsing workflow |
UPLOAD_FILE_MAX_SIZE | 200 MB | Single insurance clause documents may contain multiple pages of complete coverage content, requiring support for large file uploads |
| Recall Count | Top 8-12 entries | Coverage liability has a large number of fields. A sufficient number of recalled clause fragments is needed to cover all compensation judgment conditions |
| Similarity Threshold | 0.75-0.85 | Balances precise matching and recall coverage. This range avoids missing key liability clauses or introducing irrelevant content |
maxContext | 8000-12000 characters | Compensation rules for coverage liability have contextual associations. Sufficient preceding and following context must be retained for accurate judgment |
| Segment Length | 1000-1500 characters | Semantic units of coverage liability clauses are often cohesive compensation rules. Excessively long segments reduce recall precision, while excessively short segments damage semantic integrity |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Issue: Basic chart plugin outputs
none, and no valid chart URL is generated. Cause: TheCHART_PLUGIN_API_KEYparameter is not configured correctly, or the format of the incoming chart data source fields does not meet plugin requirements. - Issue: Fields are empty after coverage liability parsing, and key information such as compensation ratio and deductible cannot be extracted. Cause: No dedicated coverage liability parsing template was preset during deployment. General parsing rules cannot recognize specific field naming conventions in clauses.
- Issue: File input functionality fails after upgrading to SaaS 4.9. Cause: The default value of the
FILE_INPUT_ENABLEDparameter was changed in the new version, and deployment configurations were not updated synchronously.
How to verify configurations are correct
- Upload a single coverage liability clause document, review the completeness of field extraction in the parsing results, and verify that field units match the preset rules.
- Submit simulated claim filing data to trigger the initial review workflow, and check that the number of vector recall results falls within the configured recall range.
- Test the basic chart plugin by passing properly formatted coverage liability statistical data, and confirm that the plugin returns a valid URL.
- Review system logs to confirm that there are no timeout errors in the data synchronization link, and that no prompts for inactive parameter configuration items appear.
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.