What the data for this category looks like
Data sources for aerospace equipment intelligent due diligence include public model development documents in the national defense and military industry, compliance documents released by airworthiness certification bodies, industry standard specification texts, and public equipment procurement announcements. Data updates are triggered by model finalization, batch improvements or policy adjustments, with no fixed cycle. Documents are mostly long structured texts, including sections such as overall design, power system, avionics configuration, load capacity and airworthiness requirements. Core fields include maximum takeoff weight (unit: kilogram), cruise speed (unit: Mach), range (unit: kilometer), test flight cycle (unit: day), and core component supporting annotations.
Constraints on Multi-turn Dialogue and Prompt Engineering
The long-text structure of aerospace equipment data occupies a large context window, requiring multi-turn dialogue to limit the effective length of historical messages to avoid context overflow. Special units for professional fields such as Mach and kilogram require prompts to clearly specify standard parameter expressions to prevent output confusion. Data sources with no fixed update cycle require prompts to guide the AI to prioritize calling the latest stored document content. Possible batch differences in multi-source data require multi-turn dialogue to support follow-up questions for supplementary details, ensuring the accuracy of due diligence reports.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Aerospace equipment due diligence documents are mostly long texts, and need to cover key content of core chapters to avoid context truncation |
RECALL_TOP_N | Top 8–10 entries | Aerospace equipment data fields are professional and scattered, requiring sufficient relevant entries to cover due diligence needs across different dimensions |
SIMILARITY_THRESHOLD | 0.75–0.85 | Professional term matching requires high precision to avoid recalling irrelevant general documents and ensure the professionalism of due diligence content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing long-text due diligence documents and supporting attachments takes a long time, requiring sufficient time to be reserved for parsing |
UPLOAD_FILE_MAX_SIZE | 500 MB | A single aerospace equipment due diligence document may include multiple drawings and test flight report attachments, requiring support for large file uploads |
maxHistory | Top 10–15 dialogue turns | Multi-turn due diligence dialogue needs to retain the context of key parameter follow-up questions, avoiding interference from redundant historical information on reasoning |
The parameter values provided on this page are common 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.
Three Common Misconfigurations
- Phenomenon: After completing knowledge base search, the AI dialogue response time exceeds the preset threshold. Cause: The value range of
maxContextis not restricted, and long text data occupies too many reasoning resources, leading to response delay. - Phenomenon: A
413 Request Entity Too Largeerror is returned when calling the dialogue API to upload aerospace equipment documents. Cause: TheUPLOAD_FILE_MAX_SIZEparameter is not adjusted, and the uploaded file size exceeds the platform's default limit. - Phenomenon: When calling the MCP tool via prompts to generate images for due diligence reports, the image content is incomplete. Cause: Prompts do not clearly specify the professional dimensions of the images, and the parameter range for image generation is not restricted, leading to content overload.
How to Verify Proper Configuration
- Initiate a test dialogue containing professional parameters such as cruise Mach number and maximum takeoff weight, and check whether the AI returned content matches the field units in the knowledge base.
- Upload a single aerospace equipment document exceeding 200 MB, and check whether the parsing task can be completed within the time set by
PARSE_FILE_TIMEOUT_SECONDS. - Initiate multiple rounds of follow-up questions about different batch parameters of the same model consecutively, and check whether the AI can retain historical context and respond accurately.
- Call the dialogue API to upload attachments, and check whether the returned status code is
200 OKwith no upload-related errors.
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.