Data Overview
Data sources include scenic spot operation filing data from cultural and tourism administrative departments, self-operated ticketing and settlement systems of scenic spots, and financing approval ledgers from cooperating financial institutions. Data aggregation and synchronization for the previous day are completed each day in the early morning. Each daily report document is split by scenic spot, and contains basic scenic spot identifiers, core daily operation indicators, detailed financing applications and approvals for the current period, and regional industry reference fields. Fields include: scenic spot code, scenic spot name, statistical date, daily visitor count, total daily revenue, financing application date, applied financing amount, approved financing amount, and approved institution name. Amount fields use yuan as the unit, and visitor count fields use person-times as the unit.
Constraints for Multi-turn Dialogue and Prompt Engineering
Since each document contains both operation and financing multi-dimensional fields, multi-turn dialogue must support narrowing search scope by adding conditions such as scenic spot and date. Prompts must explicitly limit calls to financing daily report data for a specified period. This avoids cross-document confusion.
Since data updates daily, the dialogue flow must trigger loading of the latest dataset by default. Fixed calls to historical cached content should be avoided.
Since fields include multiple identifiers such as scenic spot code, revenue, and financing quota, prompts must pre-set field mapping rules. This ensures colloquial expressions match corresponding fields and reduces search deviation.
Additionally, query logic for operation data and financing data must be distinguished in multi-turn dialogue. This avoids returning irrelevant scenic spot operation indicators.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The length of a single tourist attraction financing daily report document is usually 1000-3000 characters. Multi-turn dialogue needs to retain more than 3 rounds of scenic spot filtering and date query context to avoid context overflow |
recallTopK | Top 6–8 entries | The number of data entries per scenic spot in tourist attraction financing daily reports is relatively small. Excessive recall will introduce interfering data from irrelevant scenic spots and affect response accuracy |
similarityThreshold | 0.72–0.78 | Matching accuracy requirements for fields such as scenic spot name and financing date are high. A value that is too low will introduce irrelevant scenic spot data, while a value that is too high will miss eligible daily report documents |
contextRefreshInterval | 86400 seconds | Financing daily reports are updated once per day. Refreshing the context cache once per day ensures that the latest data is called and avoids returning old data from historical caches |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single tourist attraction financing daily report contains multi-field details, and the parsing duration is slightly longer than that of ordinary documents, so sufficient parsing time must be reserved |
toolCallEnable | Enabled | Support for adding filtering conditions such as scenic spot and date through multi-turn dialogue, and automatically triggering retrieval of corresponding data |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: In the same conversation window, after more than 3 consecutive questions, knowledge base retrieval takes more than 60 seconds, and some results return empty fields. Cause: Context refresh and redundant cleanup rules are not configured, and redundant retrieval results from historical conversations continue to occupy the context window, causing each retrieval to load too much irrelevant data.
- Phenomenon: The custom default scenic spot ID variable is lost after switching in multi-turn dialogue, and the global default value cannot be reused. Cause: Only session-level temporary variables are configured, and global variable storage is not enabled. Variables are automatically cleared after the session context is destroyed.
- Phenomenon: In the tool call flow, it is impossible to turn off the natural language dialogue content generated by AI, and only structured financing data needs to be returned. Cause: The output switch for AI dialogue content is not turned off in the tool call configuration, and natural language supplementary content is retained by default.
How to Verify Correct Configuration
- A multi-turn dialogue is launched, different scenic spot codes and statistical dates are specified in sequence to query financing data, and returned results are checked to confirm they only include daily report fields that match the conditions.
- 24 hours pass, then the same query is launched, and the statistical date of the returned data is checked to confirm it matches the latest updated daily data.
- More than 5 consecutive questions are launched, and response delay is checked to confirm no significant increase.
- Reuse of the global default variable is tested, and the default scenic spot parameter is checked to confirm it is consistently retained in multi-turn dialogue.
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.