What data for this category looks like
Aerospace equipment investment research data mainly comes from public technical white papers of military industry research institutes, project initiation and flight test announcements disclosed by original equipment manufacturers, standard specifications released by industry associations, and supplier documents for subsystems such as avionics and engines. Data update rhythm is not fixed: bulk updates are triggered by key nodes such as first flight and formal certification of whole aircraft models, industry standards are updated annually, and supply chain data is synced quarterly.
Document structures include whole aircraft performance parameter tables, flight test logs, technical indicator details, and model family comparison tables. Fields cover empty weight, maximum range, engine thrust and other metrics, with units mostly using professional measurement standards such as kilograms, kilometers, and kilonewtons. Some documents contain nested technical parameter sub-tables.
Constraints imposed on model access and configuration
The long text nature of aerospace equipment investment research data requires reserving sufficient context window space for models, to avoid overflow limits when splicing multiple documents. Multi-source, heterogeneous document formats require adaptation to different parsing rules, which raises higher requirements for file upload and parsing timeout settings. Precise matching requirements for subdivided parameters mean recall and similarity configurations must balance coverage and accuracy, to avoid parameter confusion among models of the same series. Irregular bulk data updates require configurations to support incremental synchronization and scheduled knowledge base refresh workflows, ensuring the latest data is used during model calls.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Most individual aerospace equipment technical documents range from 3000 to 8000 characters, reserving sufficient space for multi-document splicing and tool call context |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single whole aircraft flight test reports and supply chain detail files have large file sizes, adapting to large file upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Aerospace equipment documents contain numerous nested tables and technical formulas, leading to long parsing times |
recall count | Top 8–12 entries | Aerospace equipment investment research requires precise matching of model parameters, excessive recall will introduce irrelevant cross-model data |
similarity threshold | 0.75–0.85 | Distinguish subtle parameter differences between models of the same series, avoiding matching incorrect model data |
tool_call_max_retry | 2 times | Aerospace equipment data verification logic is complex, allowing limited retries to correct parameter parsing errors |
Three Common Configuration Mistakes
- Phenomenon: Context overflow error returned during tool calls, with status code 413 or prompt "token limit exceeded". Cause: The
maxContextparameter was not adjusted for long aerospace equipment documents, and the total length of spliced documents exceeds the model's preset window. - Phenomenon: Tool call parsing error with prompt "Tool call Parser n", and the content field includes content wrapped in think tags. Cause: The model's thinking tag output configuration was not disabled, preventing the parser from recognizing the standard tool call format.
- Phenomenon: 500 error returned when forwarding model calls via aiproxy, with long stack traces in logs. Cause: The aiproxy timeout parameter was not configured to adapt to the long parsing time of long aerospace equipment documents, leading to request timeout.
How to confirm configuration is complete
- Upload a typical aerospace equipment technical document, check the completeness of the parsed text, and confirm that file upload and parsing configurations are active.
- Run an investment research query, verify that the number of recalled documents matches the configured value, and confirm that the similarity threshold meets business matching needs.
- Test the tool call process, check that expected parameter verification results are returned, and confirm that the retry configuration is reasonable.
- Review model call logs, confirm that authentication parameters are correct, and check for no authentication failures or timeout errors.
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on relevant samples before finalizing.
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.