What the data for this category looks like
Data sources include public annual reports, semi-annual reports, and temporary major order announcements from listed aerospace-related entities. Updates follow quarterly financial report disclosure cycles. Immediate sync triggers when temporary announcements are released. Document structure includes standardized financial statement fields and unstructured text covering project progress and capacity planning. Fields cover cumulative contract value, number of units delivered, per-unit manufacturing cost, R&D investment amount, and more. Common units are ten thousand RMB, units, and sets.
What constraints these characteristics impose on model access and configuration
Aerospace equipment financial reports are multi-source and heterogeneous, requiring mixed parsing rules that adapt to both structured financial fields and unstructured project text. Updates follow a quarterly cadence with immediate sync for temporary announcements, so scenario-based sync scheduling logic is needed. This logic distinguishes between regular full sync and temporary incremental sync. Fields use different units and data types such as monetary values and unit counts, so precise field mapping rules must be configured to avoid unit identification errors. Financial reports contain many aerospace-specific terms, so a custom terminology dictionary must be configured to improve the model’s understanding of professional content. Individual financial report documents are lengthy, so reasonable chunking parameters must be set to avoid exceeding the model’s context window.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Meets the chunking needs of long aerospace financial report documents, avoids exceeding the model context window |
maxContext | 128000 tokens | Covers all core content of a complete annual financial report |
SYNC_TRIGGER_MODE | Scheduled + Event-triggered | Balances regular quarterly report updates and immediate sync for temporary order announcements |
| Similarity Threshold | 0.75–0.85 | Filters low-relevance financial report fragments, improves analysis accuracy |
| Number of Recalled Entries | Top 6–10 entries | Balances recall precision and processing speed, covers core financial report information |
CUSTOM_TERMINOLOGY_DICT | Import aerospace equipment professional terminology set | Improves the model’s recognition accuracy for professional terms such as launch vehicles and satellite constellations |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: After enabling the
Disable Thought Outputswitch in model configuration, generated results still include<think>tag content. Cause: The hidden thought parameter for workflow nodes is not configured synchronously, or the global switch and node switch are not aligned. - Symptom: The workflow’s question classification node returns empty results. Cause: The aerospace financial report data source is not correctly bound to the model configuration, so the model cannot obtain valid data for corresponding fields.
- Symptom: Overall search response time exceeds expectations. Cause: The
maxContextparameter is not set reasonably, leading the model to process overly long context fragments and increase inference time.
How to confirm configuration is complete
- Upload a single aerospace equipment financial report document, check if the parsed chunk results match the configured Chunk Length requirements. Adjust parameters until the chunking logic meets expectations.
- Trigger a temporary sync task, verify that the latest order announcement data can be pulled immediately, confirm the sync trigger rule configuration is active.
- Submit a financial report analysis request, check if the generated results contain
<think>tags, confirm theDisable Thought Outputconfiguration is correctly applied. - View the number of vector recall results, compare the configured Number of Recalled Entries and actual returned entries. Adjust the Similarity Threshold until the result count matches the configured requirements.
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.