What This Category of Data Looks Like
Insurance liability data primarily comes from two sources: official clause text of insurance contracts, and liability verification supporting materials submitted with claim applications. Examples of supporting materials include medical expense lists and vehicle damage assessment reports. There are two update patterns for this data:
- Liability fields in contracts are updated infrequently after the policy goes into effect. They only change with policy endorsements.
- Supporting materials during the claim process are added in real time for every new claim application.
A single liability document usually contains structured fields such as coverage scope, deductible proportion, payout limit, and excluded liabilities. Some documents also include unstructured original clause text. Most fields use units like percentages, monetary amounts, and liability terms.
What Constraints These Characteristics Impose on the Model Access and Configuration Stage
Liability data mixes structured fields and unstructured clause text. It also includes both low-frequency static contract data and real-time claim materials. This requires the model access stage to support both data formats. Low-frequency updated contract data is suitable for storage in a static knowledge base. A fixed knowledge base sync cycle must be configured. Real-time claim materials require dynamic call access. The model’s context window must be adjusted to fit the full content of a single claim material. Liability fields have clear unit and format requirements. Model output validation rules must be configured to ensure returned results match the preset field units and value ranges. Additionally, the diversity of claim supporting materials requires configuration of parsing adaptation logic for multi-source data. This avoids model output deviations caused by inconsistent data formats.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 8–12 entries | Insurance liability contract clauses are usually lengthy. Too many recalled entries will exceed the context window. Too few will fail to cover all coverage scopes. |
similarity_threshold | 0.75–0.85 | Semantic matching for liability fields requires precision. A threshold that is too low will introduce irrelevant clauses. A threshold that is too high may miss some associated liabilities. |
max_context | 8000–12000 characters | Single claim supporting materials usually contain hundreds to thousands of characters. Sufficient context must be reserved to accommodate both materials and clause content. |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Claim supporting materials are often structured tables or multi-page PDFs. Parsing takes a long time. The timeout period must be extended to avoid task interruptions. |
prompt_template | "Please use the following liability clauses and claim materials to verify whether this application meets the coverage scope. The returned results must include coverage matching items, deductible proportion, and payout limit. Units must be consistent with the clauses." | Liability verification requires clear field requirements. A preset template guides the model to output results that match the business format. |
UPLOAD_FILE_MAX_SIZE | 50 MB | Claim supporting materials may include high-definition images or multi-page documents. The upload limit must be adjusted to support submission of complete materials. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: The model access dropdown list is empty, and the target model cannot be selected. Cause: The platform’s model channel configuration has not been completed, or the configured model has not been correctly synchronized to the available list.
- Symptom: The payout amount unit in the model output does not match the clauses, or non-preset fields appear. Cause: No field constraints have been configured in the
prompt_template, or thesimilarity_thresholdis set too low, introducing irrelevant data that interferes with model output. - Symptom: External calls return abnormal result formats, missing the
detailfield, or return a 400 status code. Cause: Corresponding parameters have not been configured in the call interface, or no format validation has been applied to the returned structured fields.
How to Confirm the Configuration Is Complete
- Navigate to the model access configuration page. Confirm the target model is loaded in the available list, and verify the configured API key and interface address are correct.
- Upload a single standard liability clause and claim supporting material, trigger a test call, and check if the returned results cover the preset business fields.
- Adjust the length and quantity of test input content, verify that the configured context window parameter can fully accommodate the input content, with no overflow prompts.
- Call the external interface, pass the corresponding parameters, and check if the format and fields of the returned results meet the preset business requirements.
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.