What Data for This Category Looks Like
Aerospace equipment marketing content data primarily comes from public model parameter manuals, launch task press releases, official promotional posters, equipment orthographic view documents, and test recording footage. Data updates have no fixed schedule. Updates are only triggered when new in-service models are released, major test successes occur, or annual performance optimizations are carried out. Document structures mainly consist of long PDF manuals and structured parameter tables, alongside a large number of high-definition images and short-form promotional copy. Most fields are technical parameters, including thrust, orbital altitude, launch window, and others. Units mostly use internationally recognized aerospace measurement standards such as kN, km, and seconds.
What Constraints Do These Characteristics Impose on Deployment and Upgrade
The high proportion of long documents requires relaxing parsing timeouts during deployment to avoid interruptions when parsing large manuals. The high number of structured parameters requires precise configuration of recall rules to avoid information redundancy caused by generalized recall. The high proportion of image materials requires enabling OCR parsing configuration to ensure that parameter text within images can be retrieved. The lack of a fixed update cycle requires supporting incremental synchronization mode during upgrades to reduce resource consumption from full updates. The large size of individual files requires adjusting the maximum upload file size to accommodate the storage needs of model manual collections.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Aerospace equipment marketing documents are mostly dozens of pages of PDF manuals, with parsing times far exceeding general scenarios |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single model manual collection files may exceed conventional size thresholds |
Segment Length | 1500–2000 characters | Technical parameter descriptions are mostly long sentences; too short segment lengths will destroy parameter relevance |
Recall Count | Top 8–10 results | Marketing content needs to cover multi-dimensional information such as performance, usage, and launch process; too few results will miss key content |
Similarity Threshold | 0.75–0.85 | Aerospace equipment parameters have high precision requirements; too low thresholds will introduce irrelevant unofficial materials |
IMAGE_OCR_ENABLE | Enabled | Marketing materials include equipment orthographic views and launch scene screenshots, requiring extraction of text information from images |
The parameter values provided on this page are all conventional recommendations used to determine starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Errors
- A
MongoServerError: The dollar ($) prefix is not allowed in field nameserror occurs on startup. This is because the plugin syntax used in v4.13.0 is incompatible with the field naming rules of MongoDB 4.4.29, and the restrictions of older MongoDB versions are not adapted. - After importing a knowledge base across instances, the original multi-file classification is lost, and only a single CSV file is generated. This is because volume storage configuration was not enabled during backup export, and only single-file format was exported.
- Some documents fail to recognize embedded images. This is because the
IMAGE_OCR_ENABLEconfiguration was not enabled in v4.15.1, or the indexing model was not adapted to image parsing scenarios.
How to Confirm Configuration Is Correct
- Upload a standard aerospace equipment marketing manual, check the completion status of the parsing task, and confirm that the time taken matches the configured timeout threshold.
- Initiate a query for equipment parameters, verify the field completeness and unit accuracy of the recall results.
- Export the current knowledge base backup, check that the file format meets expectations, and confirm that the volume storage or single-file configuration is active.
- Upload an image document containing equipment orthographic views, confirm that the text content extracted via OCR is complete and accurate.
- Initiate a test call to the OneAPI interface, confirm that the interface call logic complies with configuration requirements, and that there are no proxy configuration 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.