What Data Looks Like for This Category
Data sources for aerospace equipment research reports include securities firm military industry research reports, public announcements from upstream and downstream enterprises in the aerospace equipment industry chain, white papers released by industry associations, and official disclosures of model progress information. Update cycles fall into two categories: regularly updated quarterly and semi-annual industry tracking reports, and irregularly updated special reports released during new model test flights, major order signings, or industry policy adjustments. A single document typically includes core parameter summary tables, technical iteration analysis, industry chain breakdowns, and market size calculation modules. Fields include professional parameters such as model name, in-service status, maximum flight speed (unit: Mach), maximum range (unit: kilometers), unit procurement cost (unit: ten thousand yuan per aircraft), plus unstructured analysis text.
Constraints on Vector Models and Indexing
The mixed content of aerospace equipment research reports creates multiple constraints for the vector models and indexing workflow:
- Documents combine structured professional parameters and non-technical text. Vector models must support both professional term embedding and vectorization of structured numerical fields.
- Updates follow both regular and emergency schedules. Indexes must support flexible switching between incremental updates and full reconstruction to avoid unnecessary full computations.
- Single document lengths vary widely. Some documents with detailed parameter tables are lengthy. Chunking strategies must preserve contextual links for parameter tables, preventing loss of critical parameter information after splitting.
- Data source formats are diverse, including PDF research reports, structured table exports, and web-format announcements. The preprocessing step before index construction must support multiple input formats to ensure complete data extraction.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Aerospace equipment research reports contain long technical analysis paragraphs and structured parameter tables. This range preserves the association between parameters and context, avoiding parameter breakage after splitting |
chunk_overlap | 150–200 characters | Cross-page splitting of long parameter tables requires overlapping context to ensure complete semantic transmission of parameters |
vector_model | voyage-large-2 or bge-m3 | A large number of professional terms exist in the aerospace equipment field. Models in this category have stronger domain adaptation, improving embedding accuracy for parameters and technical text |
retrieval_top_k | Top 8–12 results | Professional content in aerospace equipment research reports has high concentration. Too many retrieved results introduce irrelevant information, while too few fail to cover key parameters and analysis |
max_context_length | 4000–6000 characters | Matches the length of core analysis paragraphs in a single research report, ensuring retrieved content can be fully included in the large model context |
index_batch_size | Calibrated via actual testing | Hardware resources vary across deployment environments. Adjust the number of documents processed per batch based on actual server load |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Calling the voyage index interface returns a 400 status code with no body. Cause: No reasonable chunking threshold set for aerospace equipment research report long texts, causing vectorization requests to exceed the content length limit of the model interface.
- Phenomenon: Server read-write resources are exhausted during full index reconstruction, triggering daily exceptions. Cause: No incremental update strategy configured. Each update performs a full index reconstruction, and the number of documents processed per batch is not limited.
- Phenomenon: After vector database data migration, retrieval results show missing or misaligned professional parameters. Cause: The embedding association of structured parameter fields was not preserved during migration. Only plain text content was migrated, causing semantic matching of professional parameters to fail.
How to Verify Proper Configuration
- Randomly select core parameter paragraphs from 3 aerospace equipment research reports, check the embedding output of the vector model, and confirm that semantic consistency of professional terms meets expectations.
- Trigger an incremental update task, verify that only newly added research reports are included in the index, and no full reconstruction process is initiated.
- Submit a retrieval request, input professional terms in the aerospace equipment field, and confirm that retrieved results include relevant research report content corresponding to the parameters or technical analysis.
- View index monitoring metrics, confirm that memory and disk IO usage are within reasonable ranges, and no abnormal peaks appear.
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.