What the data for this category looks like
The data sources for aviation airport research reports include securities firm aviation industry institute reports, Civil Aviation Administration public operation announcements, airport group monthly or quarterly disclosure documents, and industry association research materials. Update frequencies differ across sources: securities firm research reports update monthly or quarterly. Airport public operation data updates daily or weekly. Document structures typically include core operation indicator sections, such as passenger throughput, cargo and mail throughput, and takeoff and landing sorties. They also include industry policy interpretations, competitive landscape analyses, and risk warnings. Field units follow professional standards including 10,000 person-times, tons, and sorties. Some structured attachments contain detailed data that can be directly extracted.
Constraints on Traceability Linked to These Characteristics
Multi-source data with varying update frequencies requires traceability to link both public data sources and original research report texts. This ensures cited content is timely and authoritative. The coexistence of structured operation data and unstructured analysis content in documents requires traceability to distinguish between field-level precise matching and paragraph-level content association. This avoids vague source annotations. Standardized fields and fixed units require traceability to include unit verification logic. This prevents measurement errors. Fast-updating data requires traceability information to include clear release timestamps. This avoids citing outdated content. It also requires adaptation to different data source update cycles. This ensures retrieved content matches current business needs.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 10 | Aviation airport research report data sources are dispersed. 10 entries cover relevant content from mainstream securities firms and public channels, avoiding information omissions |
Similarity Threshold | 0.78-0.82 | The aviation field has dense professional terminology. This range filters irrelevant research reports from other transportation categories, while retaining valid content from the same sub-sector |
Re-ranked Return Count | Top 6 | Prioritize displaying the most relevant research report sources. Control the display density of traceability information, and avoid interfering with the main answer |
Citation Fragment Length | 600-1000 characters | Adapt to the common paragraph length of core operation data and policy interpretations in aviation airport research reports. Ensure cited fragments are complete and free of redundancy |
Traceability Field Configuration | ["Publishing Institution", "Publishing Date", "Document ID"] | Aviation industry research reports require clear source entities and release times. Document ID accurately locates the original document, meeting compliance traceability requirements |
Segmented Recall Switch | Enabled | Most research report content is long text. Segmented recall accurately matches specific paragraphs corresponding to user questions, improving traceability accuracy |
The parameter values provided on this page are common recommended 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 Mistakes
- Scenario: When using Function Call to retrieve aviation airport takeoff and landing sortie data from MySQL, the AI response only outputs aggregated values and does not include original data fragments. Cause: Structured fields returned by the API are not mapped to FastGPT's traceability display rules, and no text fragment extraction logic is configured.
- Scenario: The number of research report citations returned by knowledge base search is fixed at 5, and cannot be adjusted to meet business requirements. Cause: The
Recall Countconfiguration parameter is not modified. The default general value is used, and the display requirements for multi-source data from aviation airport research reports are not adapted. - Scenario: Cited research report fragments are truncated or redundant, and cannot fully display core analysis basis. Cause: The
Citation Fragment Lengthconfiguration value is not adjusted. The default length does not match the paragraph format of aviation airport research reports.
How to Confirm Proper Configuration
- Submit a query containing "2024 airport passenger throughput", check whether traceability entries with publishing institution and publishing date are displayed at the bottom of the response.
- Enter the application's configuration page, verify whether the configuration values of parameters such as
Recall CountandSimilarity Thresholdmatch the preset plan. - Call the test interface, enter a query containing specific operation indicators, confirm that the returned response includes original data fragments and corresponding source identifiers.
- Verify traceability display for multi-source data, confirm that research report sources from different channels are correctly associated with corresponding cited fragments.
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.