What the Data for This Category Looks Like
Insurance yield rate data sources include official insurance company disclosure channels, regulator-designated official information platforms, and product actuarial ledgers. Update frequency varies by insurance type: universal life insurance settlement rates are updated monthly, investment-linked insurance account net values are updated daily, and traditional life insurance predetermined interest rates are released on a fixed schedule.
The structure of a single data entry includes unified product identification code, product type, statistical cycle, yield rate value, effective date, and disclosure institution identifier. For field units, yield rate values use annualized benchmark units, and cycle fields use natural month or natural day identifiers.
Constraints on Multi-turn Dialogue and Prompt Engineering
The differences in update frequencies across insurance types require multi-turn dialogue to guide users to explicitly specify the statistical cycle type. This avoids confusion between yield rate data of different frequencies.
The multi-data-source nature of the data requires prompts to restrict usage to officially disclosed compliant data. Unauthorized third-party information must not be included.
The data structure that includes a unified product identification code requires the dialogue flow to guide users to provide the product's unique identifier or specific name. This ensures matching accuracy.
The multi-field data structure requires multi-turn dialogue to retain confirmed key information. This reduces repeated inquiries and improves interaction efficiency.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Insurance yield rate data contains multiple sets of fields and cycle information. Multi-turn dialogue must retain key context such as product identification and statistical cycle, to avoid losing key query conditions across conversation turns |
recall_top_k | Top 3–5 entries | A single insurance product may have yield rate data across multiple cycles and types. Excessive recall leads to redundant context and disrupts dialogue logic |
similarity_threshold | 0.75–0.85 | Insurance product names have similar naming conventions. Filter out low-match irrelevant data to avoid returning yield rate information for incorrect products |
tool_call_max_retry | 2 times | Most insurance data sources come from external disclosure interfaces. Network fluctuations or interface rate limiting may cause call failures. Limited retries improve success rates |
max_conversation_rounds | 10–15 turns | Insurance yield rate queries may require multiple rounds of confirmation for product type and statistical cycle. Excessive conversation turns lead to context overload and reduce generation accuracy |
The parameter values provided on this page are common 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 Configuration Mistakes
- Symptom: No return results are displayed in the dialog box after a tool call. Results are visible only after re-entering the session, but not returned during the initial interaction flow. Cause:
tool_call_display_modeis not configured to "real-time sync", so results are only stored in the session database and not rendered immediately. - Symptom: The iframe-embedded dialogue interface displays English text. Cause: The
iframe_langparameter is not set tozh-CN, so English localization resources load by default. - Symptom: Frequent Request Time errors occur during conversations when deploying ollama and FastGPT v4.9.0 locally. Cause: The
tool_call_timeoutparameter is not adjusted to a duration suitable for local model loading. The default timeout threshold is too short, terminating the call before the local large language model completes its response.
How to Verify Successful Configuration
- Initiate a dialogue that includes multiple rounds of product type confirmation and statistical cycle specification. Verify that context is correctly retained, and no repeated inquiries of the same information occur.
- Enter a similarly named insurance product name. Verify that only results with matching degrees that meet the set threshold are returned, and no irrelevant product data is included.
- Trigger a tool call. Observe whether the dialog box displays return results in real time, and ensure the scenario where results are only visible after re-entering the session does not happen.
- Adjust the timeout parameter for local deployment. Initiate three consecutive queries, and verify that Request Time errors no longer occur.
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.