What this category of data looks like
Data sources for aerospace equipment intelligent due diligence include public model development documents, test logs, industry standard documents, public tender announcements, and officially disclosed performance parameters. Update frequency varies by project phase: it is higher during the period from new model project initiation to formal qualification, and only updated during major improvements after qualification. Document structures include structured parameter tables, phased development reports, and fault analysis records. Fields cover thrust, orbital altitude, payload weight, and other metrics, with units mostly following professional aerospace measurement standards such as kilonewtons, kilometers, and kilograms. A single core development document can reach tens of thousands of words, and supporting test data is often stored in Excel format with 15,000 rows.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The mixed structured and unstructured nature of aerospace equipment data requires multi-turn dialogue to distinguish between two interaction scenarios: precise parameter queries and document interpretation. Prompts must clearly specify unit verification rules. The presence of long documents and large Excel datasets requires context handling to adapt to large-capacity input, avoiding loss of critical information due to context overflow. Dynamically updated data sources require multi-turn dialogue to support real-time retrieval of the latest public data, while also distinguishing parameter differences between different models to avoid confusion of performance indicators for equipment in the same series. In addition, the use of professional units requires prompts to enforce standardized output formats to ensure parameter descriptions align with industry standards.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the segmented length of single aerospace equipment development documents, avoiding context overflow in multi-turn dialogue |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports batch upload requirements for 100,000-character Chinese documents and 15,000-row Excel files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing time for large Excel files and long documents, avoiding premature interruption |
retrieval count | Top 8–10 entries | Covers the retrieval needs of multi-dimensional performance parameters for aerospace equipment, avoiding omission of critical indicators |
similarity threshold | 0.75–0.85 | Distinguishes parameter descriptions of similar models, reducing the probability of confusing results for different aerospace equipment |
CORS_ALLOW_ORIGINS | Configured per front-end deployment domain name | Resolves cross-domain access issues when the front end calls /api/v1/chat/completions |
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 individual analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Front-end calls to
/api/v1/chat/completionsreturn CORS block or 403 error. The cause is that theCORS_ALLOW_ORIGINSparameter is not configured, or the front-end service's domain name is not added to the whitelist. - Obvious delay in dialogue output. The cause is that
retrieval countis set to more than 12 entries, ormaxContextis configured too large, leading to increased context processing time. - Large Word or Excel documents cannot trigger multi-turn dialogue. The cause is that
UPLOAD_FILE_MAX_SIZEis set lower than the actual document size, orPARSE_FILE_TIMEOUT_SECONDSis configured too short, leading to parsing failure.
How to confirm configuration is complete
- Initiate a cross-domain request to call
/api/v1/chat/completions, verify that dialogue responses can be obtained normally without interception prompts. - Upload documents matching the business scale, check that the system parsing logs have no timeout or failure records.
- Initiate multi-turn dialogue containing aerospace equipment parameter queries, verify that the returned results include correct professional units and model information.
- View the dialogue statistics panel, confirm that token consumption data for each interaction is normally collected and displayed.
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.