What the data for this category looks like
Data related to aerospace equipment marketing primarily originates from four sources: R&D design documents, production ledgers, exhibition materials, and customer communication minutes. Update cycles align with new product project approval, finalization, and formal field deployment nodes. Marketing materials are updated irregularly alongside marketing activities.
Document structures include long-form technical manuals, multi-column parameter Excel spreadsheets, static images such as orthographic views of equipment, structured marketing scripts, and customer case assets. Fields include equipment model, core performance parameters, production batch, applicable scenarios, with professional unit annotations attached.
Constraints Imposed on Model Integration and Configuration
Long-form technical manuals and multi-column parameter spreadsheets require configuration that supports complex document parsing and precise segmentation, to avoid broken parameter associations. Professional parameters and unit annotations require model integration configuration that supports professional term recognition, to ensure the accuracy of returned content. Mixed storage of multi-format materials requires configuration that covers multimodal integration, compatible with images, tables, and text content. Frequently updated data sources require configured scheduled synchronization tasks, to prevent knowledge base content from becoming outdated. Mixed storage of marketing scripts and technical documents requires configured recall rules to distinguish the priority of different content types.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Aerospace equipment technical documents typically contain a large number of parameter tables, with longer parsing time than general documents. This duration covers the complete parsing process |
Segment Length | 800–1200 characters | Parameter descriptions and marketing scripts for aerospace equipment are usually coherent. This range preserves the integrity of a single parameter or single segment of marketing content |
maxContext | 16000–32000 characters | Sufficient context must be retained after long documents are split, to associate professional parameters with corresponding marketing scenarios |
Recall Count | Top 8–10 entries | Aerospace equipment marketing content needs to cover both technical parameters and application scenarios. Excessive recall will lead to redundant context |
Similarity Threshold | 0.75–0.85 | A distinction must be made between precisely matched professional parameters and approximate marketing scenario descriptions, to avoid recall of irrelevant content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Large test reports and design drawing PDFs for aerospace equipment are usually large in size. This limit covers mainstream material types |
The parameter values provided on this page are standard starting recommendations for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual assessment. It is recommended to test against your own sample data before finalizing settings.
Three Common Configuration Mistakes
- Issue: When importing a multi-column component list Excel, automatic segmentation splices cross-row and cross-column content, and cannot split parameters by row. Cause: The segmentation rule was not configured for row-level splitting, and the default automatic segmentation logic does not support row-level splitting for multi-column tables.
- Issue: After deployment,
OneAPI connection failedis displayed, model calls time out, and marketing content cannot be generated. Cause: No proxy server address was configured, or the API_KEY is invalid, blocking the model access link. - Issue: After uploading orthographic views of equipment, the model cannot recognize dimension annotations in the images. Cause: Multimodal model integration configuration was not enabled, and only a plain text model was used to process image assets.
How to Verify Successful Configuration
- Upload a multi-column parameter Excel for aerospace equipment, check that parsed segments match preset rules to confirm the segmentation logic is active.
- Call the model to test professional parameter queries, check that returned results include correct unit and model associations to confirm the recall threshold and count configurations are properly applied.
- Upload an orthographic view of equipment, check that the model can recognize core information in the image to confirm multimodal access configuration is enabled.
- Simulate a data source update, trigger a synchronization task, check that the knowledge base content updates on schedule to confirm scheduled synchronization configurations are active.
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.