What the Data for This Category Looks Like
Insurance investment research data comes from four main sources: insurance product clauses, quarterly and annual reports of listed insurance enterprises, official insurance regulatory announcements, and third-party industry research reports. Data update rhythms vary significantly by source type. Regulatory announcements are updated in real time as policies are released. Listed insurance enterprise annual reports are updated on a fixed quarterly and annual basis. New product clauses are updated synchronously when new insurance products launch. Most documents follow structured formats. Product clauses include fixed modules such as underwriting rules, coverage scope, exclusion clauses, and rate parameters. Regulatory documents carry metadata including document numbers, release dates, and clause entries. Research reports include content such as industry scale calculations and competitor comparison tables. Data fields include product codes, coverage periods, premium parameters, regulatory document numbers, and more. Units include ten thousand yuan, calendar days, and units of quantity, among others.
Constraints Imposed on Citation Source and Traceability Workflows
The characteristics of insurance investment research data directly constrain the implementation logic of the citation traceability link. First, multi-source heterogeneous data requires matching different traceability identifiers. Regulatory documents must be associated with official document numbers and release links. Product clauses must be bound to product codes and internal enterprise document IDs. Third-party research reports must be marked with releasing institutions and release dates. Second, differentiated update rhythms require traceability to support version tracking. References to older versions of regulatory policies and new product clauses must clearly mark version information to avoid confusion. In addition, segmented content such as tables and rate parameters in structured documents must be traced to specific paragraphs or entries, rather than only associating the entire document. This ensures the accuracy of citations. Finally, regulatory compliance requirements in the insurance industry require embedding traceability information into conversation contexts to facilitate subsequent compliance checks.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
recallCount | Top 200 results | Insurance investment research knowledge bases often contain multiple types of documents. Retrieving 200 results covers core competitor and regulatory information, and avoids missing critical data |
similarityThreshold | 0.65–0.75 | Insurance product clauses and research reports contain a large number of professional terms. This range filters low-correlation fuzzy matching results |
rerankTopN | Top 50 results | Retaining the top 50 results after reranking controls context length while retaining high-correlation segmented content, which meets the precise needs of insurance investment research |
maxContext | 8000–12000 characters | Insurance investment research documents often contain long tables and parameters. This range accommodates complete traceability information and cited content, and avoids truncating critical data |
sourceLinkField | regulatoryDocumentNumber,productCode,releaseDate | Insurance investment research data relies on multi-dimensional identifiers for traceability. This configuration associates unique identification information from different sources |
enableVersion | Enabled | Insurance regulatory policies and product clauses are updated frequently. Enabling version tracking ensures that citations reference valid documents from the corresponding time point |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material formats, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfiguration Issues
- Issue: The number of model context entries displayed on the page does not match the actual number of passed citations. For example, 200 entries are configured for recall but only 30 are displayed. Cause: The
maxContextparameter is not configured correctly. Overlong citation content is automatically truncated, leading to a mismatch between the context count and the actual number of recalled entries. - Issue: Documents exceeding the
recallCountsetting value are still retrieved from the knowledge base. Cause: Global recall upper limit verification is not enabled, or retrieval configurations in local workflows do not inherit global parameters. This causes content exceeding the threshold to be accidentally included. - Issue: Citation data passed via HTTP workflows cannot be correctly recognized by the AI. Cause: Metadata fields corresponding to
sourceFieldare not passed as required. Only text content is passed, without including identifier information required for traceability.
How to Verify Proper Configuration
- Access the knowledge base retrieval test page, enter a query related to insurance investment research, and check whether the returned result metadata fields include the configured traceability identifier items.
- Adjust the
recallCountparameter, run multiple retrieval tests, and confirm whether the number of returned citations matches the configured value. - Upload a new version of an insurance product clause to trigger a version update, and check whether citations automatically associate traceability information for the corresponding version.
- Configure an HTTP node in the workflow, pass retrieval results containing the
sourceLinkFieldfield, and verify that complete traceability information is displayed in AI conversations.
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.