What this category of data looks like
Data for this category comes primarily from internal design documents of aerospace model development units, subsystem test reports, industry general standard documents, public aerospace industry research reports, and in-orbit telemetry data. Document formats cover three types: long overall plans, structured test parameter tables, and unstructured working condition analysis reports. Fields include model code, test working condition, thrust value, orbit altitude, and data collection time. Corresponding units are none, working condition category, kilonewton, kilometer, and UTC timestamp. Update rhythm varies by project phase: on-demand updates with design iterations during the development phase, updates after each batch of tasks during the test phase, and minute-level synchronization for in-orbit data.
What constraints these characteristics impose on model access and configuration
The multi-form, multi-update rhythm, and unit-attached structured field characteristics of aerospace equipment investment research data impose clear constraints on the model access and configuration process. Long-length overall design documents must adapt to large model context window limits to avoid truncation of core parameters. Structured test parameter tables require configured field extraction rules to ensure accurate extraction of unit-attached fields such as thrust value and orbit altitude. High-frequency updates of real-time in-orbit data require vector database synchronization mechanisms that support incremental updates to avoid resource consumption from full reindexing. Format differences across multiple data sources require configured unified field mapping rules to ensure consistent recognition and invocation of similar parameters across different documents.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Adapts to the splitting and splicing needs of single long aerospace equipment documents, avoiding truncation of core design parameters |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports direct upload of hundreds of megabyte overall design documents without manual splitting |
VECTOR_STORE_BATCH_SIZE | 20–50 items/batch | Balances vector database ingestion efficiency and GPU memory usage, adapting to batch processing of structured test data |
EMBEDDING_MODEL | General text embedding model | Aerospace equipment investment research data is primarily text-based, covering most scenarios such as design documents and test reports |
SYNC_INCREMENTAL_ENABLED | Enabled | Adapts to the minute-level update rhythm of in-orbit data, reducing resource consumption from full reindexing |
PARSE_FIELD_RULES | Match regular expressions by preset fields | Accurately extract unit-attached structured fields such as thrust value and orbit altitude from test reports |
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. Analyze specific issues on a case-by-case basis, and test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: After deploying a large model, GPU power consumption and utilization are low, and CPU single-core occupancy reaches 100%. Cause: No GPU memory allocation parameters are configured for the model, causing the model to prioritize CPU resources for inference calculations.
- Phenomenon: When testing a newly created model channel, the error
cannot read properties of undefined (reading 'xxx')is returned. Cause: The model's API interface address or key parameters are not filled correctly, so the system cannot read the required response fields returned by the model. - Phenomenon: When retrieving aerospace equipment test data, unit-attached structured parameters cannot be accurately recalled. Cause: No dedicated extraction rules are configured for unit-attached fields such as thrust value and orbit altitude, and general embedding models struggle to associate numerical values with unit information.
How to confirm successful configuration
- Upload an aerospace equipment overall design document, check the automatically split paragraphs from the system, and confirm that core design parameters are not truncated.
- Trigger a vector database ingestion task for test data, check the GPU resource monitoring panel, and confirm that GPU utilization and power consumption meet expectations, with no CPU single-core overload.
- Initiate a retrieval test for orbit altitude and thrust value, and confirm that the returned results include correct combinations of numerical values and units.
- Submit an incremental synchronization task for in-orbit data, check the system logs, and confirm that only newly added data is synchronized to the vector database.
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.