What This Type of Data Looks Like
Regulatory measure data primarily comes from official announcements and normative documents released by regulatory authorities. Update cycles are not fixed. New or revised versions are released as regulatory policies are adjusted. Document structures typically include release numbers, issuing authorities, effective dates, clause numbers and specific clause content. Fields include unique clause identifiers, applicable business scenarios, penalty clauses and more. There are no special unit requirements. Individual documents are usually several thousand characters or longer.
Constraints for Multi-turn Dialogue and Prompt Engineering
Regulatory measure documents are lengthy and have scattered clauses. Multi-turn dialogue requires retaining historical interactions and multiple retrieved contents. This places higher requirements on context window capacity. Update cycles are not fixed, so data sources must be synchronized regularly. This avoids using outdated clauses in dialogues that could cause compliance risks. Clause expressions are precise and rigorous. The retrieval process must strictly filter low-relevance results. It must also support locating specific version clauses using fields like release numbers and effective dates. During multi-turn interactions, key locating information must be solicited from users to reduce ambiguity.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Individual regulatory measure documents often exceed 5000 characters. Multi-turn dialogue requires retaining historical interactions and multiple retrieved entries, so a sufficient context window is needed to accommodate all content |
recallTopK | Top 8–12 entries | Regulatory measure clauses are scattered. A single question often relates to content across multiple sections. A sufficient number of retrieved entries is needed to cover the relevant scope |
similarityThreshold | 0.75–0.85 | Regulatory clause expressions are precise and rigorous. Low-relevance retrieval results must be filtered to avoid irrelevant clauses interfering with compliance judgments |
datasetSyncInterval | Synchronize daily at 00:00 | The frequency of new regulatory measure releases is not fixed. Daily synchronization ensures that dialogues always use the latest version of regulatory clauses |
reRankTopN | Top 3–5 entries | Re-rank retrieved candidate entries to prioritize specific clauses that match the core requirements of the question, improving response accuracy |
emptyResponsePrompt | Please confirm the regulatory measure version, release number, or specific clause number for the inquiry | When no matching content is retrieved, guide users to provide key information to avoid generating invalid responses |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfiguration Issues
- Large models return empty strings or standard error messages. This occurs when
emptyResponsePromptis not configured, and retrieval results do not cover target regulatory clauses, preventing the model from generating valid responses. - Outdated regulatory clause content appears in dialogues. This occurs when
datasetSyncIntervalis not set to regularly synchronize data sources, and cached outdated clauses are used, leading to compliance deviations. - Model truncated responses caused by multi-turn dialogue context overflow. This occurs when
maxContextvalue is not limited, and excessive historical interactions and retrieved entries occupy the context window, leading to incomplete model output or errors.
How to Verify Proper Configuration
- Upload the latest version of regulatory measure documents, configure
datasetSyncInterval, then check the dataset synchronization log to confirm that the automatic synchronization task completes on schedule. - Initiate a regulatory question related to multiple sections, and verify that the number of retrieval results falls within the range set by
recallTopK. - Construct a question with no matching content, and verify that the returned prompt matches the content configured in
emptyResponsePrompt. - Initiate a dialogue with more than 3 rounds of interaction, and verify that the model does not display context truncation-related errors or incomplete responses.
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.