What this category of data looks like
Regulatory compliance document data is primarily sourced from public announcements of official regulatory agencies and official standardized documents from industry self-regulatory organizations. Update frequency is irregular, aligned with the release or revision of new regulatory rules. Most documents follow a chapter-based structure, including fields such as issuing authority, document number, effective date, and clause number. Clauses are hierarchically organized using the "article, paragraph, subparagraph" framework. Effective dates are marked in standard date formats. Clause content clearly defines compliance boundaries and implementation requirements, with no custom units or complex metering fields.
Constraints on Tool Calling and Plugins
The authoritative nature of official data sources requires that tool calling only connect to verified official archived data sources. This prevents content from non-compliant sources from being retrieved. The irregular update frequency requires configuring automatic synchronization tasks to regularly pull the latest versions of documents. The long chapter structure and multi-level clause design require plugins to adapt to length limits for segmented retrieval. During field extraction, plugins must accurately match exclusive fields such as document number, effective date, and clause number. This avoids generalized extraction that causes misalignment of compliance content.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
recall_top_k | 8–12 top results | Regulatory compliance documents have multiple clause levels and dense content. A sufficient number of retrieved entries is needed to cover complete compliance scenarios |
chunk_max_length | 800–1200 characters | Adapts to the typical length of single clauses in regulatory compliance documents, avoiding splitting that disrupts the integrity of compliance logic |
plugin_tool_timeout | 600 seconds | Regulatory compliance documents can be lengthy. Tool calling requires sufficient time to complete parsing and field extraction |
file_sync_cron | 0 0 2 * | Synchronize the latest versions of regulatory compliance documents daily at 2 AM, adapting to their irregular update characteristics |
plugin_field_filter | ["issuing authority", "document number", "effective date", "clause number"] | Accurately extract core identifying fields for regulatory compliance documents, avoiding interference from irrelevant content on tool calling results |
similarity_threshold | 0.75–0.85 | Filter low-relevance non-compliant clauses, ensuring content returned by tool calling meets the needs of compliance scenarios |
The parameter values provided on this page are common starting points 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 Configuration Mistakes
- Issue: Significant discrepancy between compliance suggestions returned by API calls and online chat results, with higher accuracy in online chat. Cause: API calls do not have matching parameters for
recall_top_kandsimilarity_thresholdconfigured. Default retrieval counts and threshold settings differ from those used in online chat, leading to incomplete content coverage. - Issue: Error "field format mismatch" returned when calling the basic chart plugin to generate regulatory data visualizations. Cause:
plugin_field_filteris not configured to extract exclusive fields for regulatory compliance documents. The plugin attempts to use non-compliant fields to generate charts, triggering format verification failure. - Issue: Tool calling times out, returning status code
504 Gateway Timeout. Cause:plugin_tool_timeoutvalue is not adjusted. The default timeout period is insufficient to parse lengthy regulatory compliance documents, leading to interrupted calls.
How to Verify Proper Configuration
- Run a single tool calling test, verify that the returned content includes the preset
plugin_field_filterfields, confirming the field extraction logic is active. - Check the knowledge base synchronization logs, confirm that the scheduled task configured via
file_sync_cronexecutes as planned with no failed records. - Adjust the
similarity_thresholdvalue, compare retrieval results across different thresholds, confirming alignment with relevance requirements for compliance scenarios. - Simulate identical input for both API calls and online chat, verify that retrieval counts and similarity threshold settings are consistent across both, ensuring aligned results.
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.