What the data for this category looks like
Data related to airport aviation revenue yield is mainly sourced from public civil aviation operation monitoring platforms, official airport operation announcements, and third-party civil aviation data service interfaces. Update frequencies are divided into daily, weekly, and monthly:
- Daily data updates core operational metrics such as daily takeoff and landing times and passenger throughput each day.
- Weekly summaries cover weekly revenue-related statistics.
- Monthly releases complete operational revenue reports.
Each individual data entry includes fields including statistical date, airport identifier, takeoff and landing count, passenger throughput, revenue per takeoff and landing, non-aeronautical revenue amount, and other fields. Units are as follows: takeoff and landing count is in times, passenger throughput in passenger trips, revenue per takeoff and landing and non-aeronautical revenue amount in yuan.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Daily updated features require multi-turn dialogue to clearly anchor the statistical date, to avoid confusion of metrics across dates. The multi-field data structure requires prompts to clearly define the reference scope of each field, preventing the model from confusing core business revenue and non-aeronautical revenue. High-frequency updated data sources require matching knowledge base synchronization cycles, to ensure recalled content is the latest data.
Multi-turn context must retain the airport and date information from previous questions, to avoid result errors caused by context interference when users continuously compare revenue across different airports or periods. Additionally, users may ask about multiple dimension metrics at once; prompts must clearly guide the model to only use knowledge base entries related to the current question, without introducing irrelevant data.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 1200–1500 preceding characters | Airport aviation data has many fields, so sufficient context must be retained to distinguish metrics across different dates and airports, avoiding confusion caused by context overflow |
recallTopK | Top 6–8 entries | Single airport daily report data volume is moderate; too many recalled entries introduce irrelevant information, too few fail to cover comparison dimensions required by users |
similarityThreshold | 0.72–0.80 | Matches airport name and date keywords; a threshold that is too low recalls irrelevant airport data, while a threshold that is too high may miss valid content for the same airport across different dates |
reRankTopN | Top 3–4 entries | Focuses on revenue data for core dates and airports, filtering redundant non-core historical entries |
detail | Enabled | Complete reference fields must be returned during API calls to facilitate verification of the match between recalled content and user questions, and to comply with parameter rules for version v4.9.14 |
knowledgeBaseSyncInterval | Once daily | Matches the daily update rhythm of airport daily reports, ensuring the knowledge base always contains the latest daily revenue data |
The parameter values provided on this page are common starting points for configuration setup. 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.
Three Common Mistakes
- Phenomenon: API call results do not associate with the newly created airport revenue yield knowledge base. Cause: The corresponding knowledge base ID was not bound via the dialogue interface, or incorrect data source synchronization rules were configured when creating the knowledge base.
- Phenomenon: Insufficient matching between prompts and knowledge base reference configuration content. Cause: The functional boundaries between "reference content template" and "reference template prompt" were confused. The former is used to format recalled knowledge base text, while the latter is used to guide the model to focus on specified revenue indicator dimensions.
- Phenomenon: 504 timeout error occurs when multiple dialogue requests are initiated simultaneously under version v4.9.14. Cause: The default dialogue concurrency limit of this version was not adapted, and no request current limiting or queue waiting mechanism was configured.
How to confirm configuration is complete
- Initiate an API call, check if the returned results include the specified knowledge base reference fields, verify that the
detailparameter is enabled, and ensure the returned content matches the online dialogue. - Continuously initiate multi-turn questions about different dates and different airports, check if each round of results anchors the date and airport identifier of the current question, with no cross-context interference.
- View the knowledge base synchronization log, confirm that the synchronization cycle matches the update rhythm of airport data, and ensure the latest daily report data has been recalled.
- Compare the returned results of online dialogue and API calls, confirm that the
streamanddetailparameter configurations are consistent, with no result differences.
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.