What the data for this category looks like
Data for insurance liability coverage originates from three primary sources: liability agreement sections of official insurance product terms, internal company claims rule manuals, and archived liability determination records from closed prior claims. Data update timing aligns with insurance product iterations, and is also updated promptly when regulatory policies change. Individual data documents have a clear structure, including fields such as liability type, core conditions for triggering payouts, deductible amounts, payout ratios, and excluded liability scopes. Field units include percentages, fixed monetary amounts, effective time ranges, and other standard units.
What constraints these characteristics impose on the "knowledge base retrieval and recall" link
Clearly defined classifications and structured fields for liability coverage data require retrieval to be tied to specific liability scenarios for precise matching. This prevents generalized recall of unrelated liability content. The dynamic update cadence tied to product iterations and policy changes requires the knowledge base to support incremental updates, which reduces total update time. The structure of multiple fields paired with units requires the retrieval pipeline to retain context associations between fields. This avoids losing the binding relationship between liabilities and their corresponding payout rules. Additionally, liability determination records from past claims have both structured and unstructured attributes. This requires coordinated configuration of both exact field matching and semantic recall.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
top_k | Top 10 results | Liability coverage data has concentrated fields and high effective information density per entry. Excessive recall will introduce irrelevant liability clauses and interfere with initial review judgments |
similarity_threshold | 0.75–0.85 | Liability coverage clauses are rigorous with clear boundaries. This range filters low-match irrelevant content while retaining reasonable matching results for edge scenarios |
chunk_size | 800–1200 characters | Liability coverage clauses are mostly coherent rule descriptions. Too long a segment will lose context associations, while too short a segment will split complete liability payout logic |
rerank_top_k | Top 3 results | Insurance claim initial review requires quick location of core liability rules. A small number of precise recall results can support fast decision-making |
incremental_update_mode | Triggered by file modification time | Most liability coverage data is updated alongside insurance clause files. Triggering updates by modification time enables precise synchronization of the latest liability agreements and rules |
structured_field_retrieval | Enabled | Liability coverage includes structured fields such as liability type, payout ratio, and deductible amount. Enabling this improves the efficiency and accuracy of exact matching |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. 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 mistakes
- Phenomenon: Retrieval results include liability coverage content from other insurance types, failing to precisely match the insurance scope of the current initial review. Cause: Liability coverage data for different insurance types has not been separated into independent knowledge bases, or the target knowledge base has not been specified in the retrieval request. This leads to recall of cross-insurance-type content.
- Phenomenon: Semantic retrieval scores 0.77, but the model returns "no relevant information found". Cause: The semantic reranking link has not been configured, or the similarity threshold is set improperly. This causes valid content to not be properly screened or accidentally filtered.
- Phenomenon: A large number of similar liability coverage content entries are recalled, making it impossible to quickly select the result that best matches the current claim scenario. Cause: The reranking link has not been configured, or the number of reranked returned entries does not align with the high information density characteristic of liability coverage data.
How to confirm proper configuration
- Upload a latest liability coverage clause file, check whether the knowledge base update task status shows as completed, and that the new file's content has been successfully parsed.
- Enter a test query that includes a specific liability type and payout condition, verify that the number of retrieval results matches the configured
top_kvalue. - Enter an edge scenario query, verify that the retrieval score falls within the preset similarity threshold range, and that valid content is not filtered out.
- After configuring multiple knowledge base partitions, enter a query that only corresponds to a single insurance type, verify that the retrieval results only include liability coverage content for that insurance type.
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.