What the Data for This Category Looks Like
Data for aviation equipment intelligent due diligence reports originates from four primary sources: public technical documents from aircraft equipment manufacturers, civil aviation airworthiness certification documents, maintenance records, and supply chain qualification materials. The update frequency of this data adjusts based on airworthiness certification cycles, maintenance plans, and supply chain changes, with no fixed schedule. Document structure centers on aircraft model numbers, and includes fields such as airworthiness certificate numbers, cumulative flight hours, parts BOM lists, supplier qualifications, and maintenance man-hours. Units follow professional measurement standards including flight hours, months, yuan, years, and others. A complete single report typically has a large file size, containing multiple pages of structured tables and specialized technical paragraphs.
Constraints on Deployment and Upgrade Workflows
The large file size, multiple fields, and non-fixed update schedule of aviation equipment due diligence data create multiple constraints for deployment and upgrade workflows. Large file sizes require relaxed resource thresholds for upload and parsing to avoid task interruptions. Multiple fields and specialized units demand custom parsing rules to adapt to industry-specific data formats. Non-fixed update schedules require flexible scheduled synchronization mechanisms that support on-demand full or incremental updates. The upgrade workflow must synchronize updates to parsing rules and tag configurations, ensure the new version complies with aviation equipment-specific compliance data requirements, and avoid damaging the vector data structure stored historically.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1800–2200 MB | Single files such as aviation equipment due diligence reports containing full aircraft BOM lists and airworthiness certification documents typically reach approximately 1.5 GB |
PARSE_FILE_TIMEOUT_SECONDS | 900–1200 seconds | Large, specialized documents require longer processing times to prevent mid-task interruptions |
maxContext | 10000–14000 characters | Aviation equipment documents have numerous closely linked fields, requiring longer context to ensure accurate semantic association |
RECALL_TOP_K | Top 8–12 results | Must cover recall results across multiple dimensions including supply chain, maintenance records, and airworthiness status |
MINIO_STORAGE_CAPACITY | Scale up to 4000–6000 GB as needed | Long-term storage is required for historical due diligence documents, parsed vector data, and backup copies |
PARSE_SEGMENT_LENGTH | 1200–1800 characters | Aviation equipment specialized paragraphs are lengthy, avoiding overly fine splitting that causes semantic fragmentation |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific scenarios require individual analysis, and testing on local samples prior to finalization is recommended.
Three Common Configuration Mistakes
- Issue: A
413 Request Entity Too Largeerror occurs when uploading large BOM files for aviation equipment. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration item was not adjusted, and the default value cannot accommodate the single-file size of aviation equipment documents. - Issue: Pulling the
fastgpt-minioimage after private deployment is excessively slow. Cause: No image acceleration source was configured, and pull speeds are limited for overseas nodes in the default official image repository. - Issue: The collection tag function cannot be used in the knowledge base after upgrading to the latest open-source version. Cause: The
TAG_GROUP_ENABLEparameter was not enabled in the deployment configuration, or the database migration script after version upgrade was not executed.
How to Verify Proper Configuration
- Upload a single aviation equipment document that matches industry characteristics, confirm no upload errors occur and the parsing task completes within the configured timeout period.
- Access the storage service management interface, confirm that the storage space configuration matches the preset storage capacity parameters.
- Trigger a scheduled synchronization task, check that parsed knowledge base entries include aviation equipment-specific fields with no missing fields or parsing errors.
- Test the knowledge base tag aggregation function, confirm that custom tag groups can be created based on airworthiness certification status, supplier type, and other criteria.
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.