What the Data for This Category Looks Like
Aviation airport research report data primarily comes from public statistics released by civil aviation administration authorities, annual airport operation reports, monthly monitoring data from industry associations, and research reports from third-party aviation consulting institutions. There are two update frequency categories: Core operation indicators (takeoff and landing times, passenger throughput) are updated daily or weekly. Annual business analysis reports are updated per fiscal year. Industry trend research reports are released quarterly. Most documents combine structured tables with analytical text. Common fields include airport three-letter code, monthly takeoff and landing times, passenger throughput (unit: person-times), cargo and mail throughput (unit: tons), flight on-time rate, and more. Some research reports also include detailed dimensions such as regional passenger flow share and route network layout.
Constraints Imposed on Knowledge Base Retrieval and Recall
The data characteristics of aviation airport research reports create multiple constraints for knowledge base retrieval and recall. Multi-source, heterogeneous data sources include three formats: PDF scans, structured tables, and plain text analysis. Differentiated parsing rules must be configured to adapt to each file type. Frequently updated operation indicators require strict time range limits for recalled content. This prevents outdated data from reducing analysis accuracy. Many structured fields have clear associated units. Retrieval must match both field names and units to avoid errors caused by unit mismatches. Cross-airport comparison research reports require recall logic to support matching multiple entities simultaneously. This improves retrieval targeting.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Aviation airport research reports often contain multi-page structured tables, requiring longer parsing time. 300 seconds covers parsing needs for most large files |
Knowledge Base Chunk size | 800–1200 characters | Structured tables and analytical text in aviation airport research reports are closely integrated. This range balances context completeness and retrieval accuracy |
Recall count | Top 8 entries | Core indicators of aviation airport research reports are often spread across multiple documents. 8 entries covers information needs for most scenarios and avoids redundant results |
Similarity threshold | 0.72–0.85 | Structured field matching has high requirements. A threshold that is too low will introduce irrelevant documents, while a threshold that is too high may miss relevant research reports. Adjust based on actual testing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single annual airport operation reports often contain large amounts of historical data. 2000 MB accommodates most large research report files |
Rerank result count | Top 3 entries | Users searching aviation airport research reports typically prioritize core indicators and latest analysis. Returning 3 entries after reranking allows quick location of key information |
The parameter values provided on this page are common recommended 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 Mistakes
- Phenomenon: Semantic retrieval scores show values over 4000, outside the 0–1 range. Cause: Similarity score normalization parameters are not configured correctly, resulting in raw vector distance values being returned instead of normalized similarity scores.
- Phenomenon: Some periods return no search results when calling the retrieval API. Cause: Automatic refresh rules for
searchXNGcall quotas are not configured. The API returns empty results after exceeding the daily call limit. - Phenomenon: Core fields are missing after parsing uploaded airport research report files. Cause: The enable table parsing switch is not turned on for structured tables, resulting in failure to correctly extract fields such as takeoff and landing times and throughput.
How to Confirm Proper Configuration
- Upload a standard monthly airport operation report. Check if the parsed fields include preset fields such as takeoff and landing times and passenger throughput, to confirm the parsing configuration is correct.
- Retrieve recent operation indicators for a specified airport. Check if the time range of returned results matches expectations, to confirm the recall time filtering rules are configured.
- View similarity scores in retrieval logs. Check if the score range matches the preset range, to confirm the similarity score normalization parameters are set correctly.
- Call the API interface. Check if returned results include relevant fields from the source file, to confirm the knowledge base file source tracking configuration is enabled.
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.