What Data Looks Like for This Category
Data sources for insurance intelligent due diligence reports include internal underwriting archives, claim ledgers, and scanned policy receipts from insurance companies. They also include industry compliance documents released by regulatory authorities, and applicant credit data from third-party credit reporting agencies.
Update frequency varies by data type:
- Underwriting archives update in real time when a policy takes effect.
- Claim ledgers update when a case is closed.
- Regulatory documents are released quarterly or annually.
Typical document structures include six core modules: applicant basic information, insurance subject details, risk assessment matrix, past claim records, compliance check items, and due diligence conclusions.
Fields include insured amount (unit: ten thousand yuan), premium (unit: yuan), number of claims (unit: times), applicant age (unit: years), and other fields. Some documents include high-definition scanned contract attachment images.
Constraints for Model Access and Configuration
Data sources for insurance due diligence reports include structured ledgers and unstructured documents. This requires model access to support both text and image parsing. Update frequencies vary widely across different data sources, so toggle parameters for incremental sync and full update must be configured. Individual documents are long, so context length parameters must be adjusted to avoid truncating critical content. Fields have dedicated units and format requirements, so the model must be able to correctly identify and validate field consistency. Compliance requirements are high, so parameters must be configured to filter irrelevant information and avoid generating content that violates regulatory requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000-12000 characters | Individual insurance due diligence report documents are long, and must cover complete compliance check items and core due diligence content to avoid truncation of critical information |
UPLOAD_FILE_MAX_SIZE | 500 MB | Insurance due diligence reports often include multiple scanned documents and exported structured ledger files, with single-file size larger than general document scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing multi-page PDFs and due diligence reports with image attachments takes longer, to avoid premature interruption of the parsing process |
Number of recalled entries | Top 8-10 entries | Insurance due diligence requires associating multi-dimensional data such as applicants, subjects, and claim records, so sufficient recall volume is needed to cover associated information |
Similarity threshold | 0.75-0.85 | Insurance due diligence fields have strong correlation, so low-correlation redundant information must be filtered, while accurately matched compliance item data must be retained |
stream_response_timeout | 60 seconds | Generating multimodal parsing results for insurance due diligence reports takes a certain amount of time, to avoid premature timeout of stream responses |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires separate analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Accessing a third-party compatible model returns a 400 error with an invalid parameter prompt. Cause: The dedicated parameter format for the insurance due diligence scenario was not correctly adapted, or extra configuration items not supported by the model were enabled.
- Phenomenon: Modifying
config.jsonand restarting the container does not update the model list. Cause: The configuration file was not mounted to the/app/data/configdirectory inside the container, or the modified configuration items were not loaded by the system startup script. - Phenomenon: The model stream response is empty with no valid content returned. Cause: The multimodal parsing switch was not enabled, or uploaded due diligence report images were not correctly identified, resulting in no valid input for the model to generate a response.
How to Confirm Proper Configuration
- Upload an insurance due diligence report that includes structured tables and image attachments, then check if the parsed text covers all core fields with no obvious truncation.
- Submit a question request targeting the due diligence report, and verify that the model’s returned results associate correct insurance application information, claim records, and other fields with consistent unit matching.
- Check system logs to confirm that all model access request parameters are correctly passed, with no missing or incorrectly formatted configuration items.
- Test multimodal question answering by entering a question about image-based due diligence attachments, and confirm that the model can correctly identify image content and generate a corresponding response.
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.