What the data for this category looks like
The data sources for in-app natural language search via function entries include in-app user natural language search logs, preset function trigger configurations, and associated business knowledge base documents. Update cadence matches that of associated business knowledge bases, and supports real-time incremental updates or scheduled synchronization. Each data entry contains the unique function identifier, trigger keyword set, applicable business scenario, permission scope, and associated knowledge base fragment ID. Fields include function_id (string type), trigger_keywords (text array), business_scene (enumerated value), permission_level (integer). Time fields use ISO 8601 format.
What constraints these characteristics impose on knowledge base retrieval and recall
Data sources include function configurations and user interaction logs. Retrieval workflows must match both trigger keywords and business permissions to avoid returning search results for unauthorized functions. Real-time updated data sources require retrieval pipelines to support incremental recall, avoiding full scans that cause performance loss. The function_id and business_scene fields in the data structure require filtering by function group and business scenario during retrieval to narrow the recall scope. Enumerated permission fields require permission validation before recall, returning only knowledge base fragments associated with function entries accessible to the current user.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 3-5 entries | Search results for function entries must be concise to avoid overwhelming in-app users with excessive options |
similarity_threshold | 0.75-0.85 | Searches for finance/insurance/wealth management scenarios require precise matching of trigger keywords to avoid including low-relevance results |
refresh_interval | 300 seconds | Function configuration update frequency balances real-time performance and retrieval pipeline overhead |
max_context_length | 800-1200 characters | Function entry information displayed in-app must fit limited display space to avoid text truncation or overflow |
permission_check_enabled | Enabled | Finance/insurance/wealth management scenarios require strict user permission validation to prevent unauthorized access to function entry data |
parse_function_entry_timeout | 60 seconds | Function entry configuration parsing must complete within a reasonable timeframe to avoid blocking the overall retrieval workflow |
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 targeted analysis. Testing on independent samples is recommended before finalizing settings.
Three common configuration mistakes
- Symptom: Unable to reference specified knowledge base fragments associated with function entries via variables; search results return no matches. Cause: Failed to pass the correct
function_idfield value in the retrieval request, or failed to configure the association mapping parameters between function entries and knowledge base fragments. - Symptom: In-app search results do not update after function entry configurations in the knowledge base are updated. Cause: The
refresh_intervalparameter is set too long, failing to sync updates from the business knowledge base in a timely manner. - Symptom: Search results displayed in the app contain long text that exceeds display limits, or experience unexpected truncation. Cause: The
max_context_lengthparameter is not set, or its value does not match the terminal's text display constraints.
How to confirm proper configuration
- Submit a mock retrieval request, include test
function_idand user permission fields, verify that returned results include the expected knowledge base fragments associated with function entries. - Manually update content in the associated business knowledge base, wait for the configured refresh interval, then submit a retrieval request to confirm returned results have been updated.
- Adjust the value of the
similarity_thresholdparameter, submit search requests with different keywords, verify that the matching accuracy of returned results meets expectations. - Review retrieval pipeline logs to confirm that the permission validation step executed normally, with no abnormal results returned due to unauthorized access.
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.