What the data for this category looks like
Investment research data for tourist attractions mainly comes from official operation ledgers, public statistics from cultural and tourism authorities, tourist capacity announcements published by scenic spots, and public information about surrounding transportation and supporting businesses.
Update frequencies cover three categories: daily (real-time passenger flow, real-time parking data), weekly (weekly revenue report), and monthly (operation analysis report). Document structures include three types: short-text operation logs, long-form analysis reports, and standardized business invitation documents.
Core fields include instantaneous carrying capacity, daily maximum reception capacity, per capita consumption amount, and number of parking spaces, with units of person-times, yuan, and units respectively.
What constraints these characteristics impose on the "multi-turn dialogue and prompt engineering" link
The multi-dimensional update rhythm and professional field definitions of scenic spot investment research data impose multiple constraints on multi-turn dialogue and prompt configuration.
Real-time daily data requires limiting the time range of the context window to prevent the model from calling outdated real-time passenger flow data. Professional fields have high differentiation, so prompts must clearly label the definition of each field to avoid confusion between instantaneous carrying capacity and daily maximum reception capacity.
Mixed recall of multiple document types requires configuring reasonable segmentation and recall rules to ensure that information from both long reports and short logs can be effectively called.
How to configure the parameters
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxHistoryTurns | 6–8 turns | Scenic spot investment research conversations mostly involve time-series data. Excessive historical turns will introduce outdated information to interfere with current queries |
chunkSize | 800–1200 characters | Covers long paragraphs of scenic spot operation reports and short log texts, balancing context coherence and recall accuracy |
similarityThreshold | 0.72–0.80 | Filters low-match irrelevant documents to avoid confusion between professional fields such as instantaneous carrying capacity and daily maximum reception capacity |
recallTopK | Top 6 entries | Balances multi-dimensional investment research information such as passenger flow, business types, and supporting facilities, avoiding redundant recall content |
referenceDisplay | Configurable to disable | Meets the requirement to cancel citation display at the end of responses in some scenarios |
speech2textEnabled | Calibrated based on actual testing | Adapts to voice interaction scenarios where scenic spot tourists ask questions in colloquial language. Adjustments must be made based on actual interaction effects |
The parameter values provided on this page are conventional recommendations used as a starting point 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
- An interface displays "No permission to operate this conversation record", and historical conversation records cannot be retrieved. The cause is that the permission scope of conversation storage is not configured, or the historical conversation view permission for the corresponding role is not enabled.
- No valid response is returned after voice interaction input. The cause is that the
speech2textEnabledparameter is not enabled, or the colloquial speech-to-text model for scenic spot scenarios is not adapted. - Document citations are forcibly displayed at the end of responses and cannot be disabled. The cause is that the
referenceDisplayparameter is not configured correctly, and the switch is mistakenly bound to a forced enabled state.
How to confirm correct configuration
- Initiate multiple consecutive questions involving real-time passenger flow and historical revenue, and verify that the context returned by the model only includes conversation content from the most recently specified number of turns.
- Test colloquial voice questions, confirm that the transcription result is accurate and the response meets expectations, and adjust parameters to adapt to scenic spot scenarios.
- Initiate knowledge base queries, enable and disable the
referenceDisplayparameter separately, and verify whether the citation display at the end of the response meets business requirements. - Import the latest operation documents of the scenic spot, initiate related questions, and verify that the recalled documents are the latest version, with no outdated data interfering.
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.