What data in this category looks like
Aerospace equipment investment research data for financial investment research primarily comes from publicly available defense and aerospace industry research reports, project disclosure documents released by aerospace institutes, official aerospace launch mission announcements, industry standard specification documents, and public test reports from model development phases. Updates are triggered by newly approved projects, launch missions, or industry standard updates, with no fixed cycle. Document structures include structured parameter tables (with fields such as model code, thrust, orbital altitude, using units of kilonewtons, kilometers, kilograms), long-form development summaries, supply chain supporting details, and test data logs. Some documents include multi-page parameter association tables.
Constraints on Context and Token Processing
Aerospace equipment investment research data has a high proportion of long text. A single test report or development summary may exceed 100,000 characters. Improper document splitting can lose the association between parameters and units, leading to semantic fragmentation of retrieved context segments. Strong correlations between professional parameters require context retrieval to cover associated fields, rather than only isolated parameters. This increases token consumption. Non-fixed update cycles mean new documents must be added to the knowledge base frequently. If the total context limit is set too low, token overflow may occur during a single conversation. Cross-model investment research comparisons require retrieving segments from multiple documents, further increasing context capacity requirements.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Single long-form aerospace equipment investment research documents can reach tens of thousands of characters. Sufficient context must be reserved to carry segments from multiple documents for associated retrieval |
RECALL_TOP_N | Top 6–8 entries | Aerospace equipment data combines professional parameters and long reports. A sufficient number of retrieved entries is needed to cover parameter associations and project background |
CHUNK_SIZE | 1500–2000 characters | When splitting single test reports or development documents, retain the integrity of parameter paragraphs to avoid losing associated units and fields after splitting |
UPLOAD_FILE_MAX_SIZE | 500 MB | Test data reports and supporting documents for aerospace equipment have large file sizes. The upload limit must be expanded |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large documents takes longer. Extend the timeout to avoid parsing failures |
SIMILARITY_THRESHOLD | 0.75–0.85 | Semantic matching for professional parameters requires a high threshold to avoid retrieving irrelevant non-aerospace documents |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- After uploading large aerospace equipment test data documents, a
413 Request Entity Too Largeerror appears during parsing. The cause is failure to adjust theUPLOAD_FILE_MAX_SIZEconfiguration, with the uploaded file size exceeding the default limit. - Document segments retrieved during conversations lack parameter units or associated fields, leading to professional errors in responses. The cause is an overly small
CHUNK_SIZEsetting, which truncates parameter and unit association paragraphs during splitting. - After two or more consecutive follow-up questions, responses fail to associate aerospace model parameters or project background mentioned in previous conversations, resulting in off-topic answers. The cause is failure to enable context association configuration, or an overly small
maxContextparameter that cannot carry token consumption from previous conversations.
How to Verify Correct Configuration
- Upload an aerospace equipment development document that includes a structured parameter table, check the parsed segmented results, and confirm that segments do not split parameter and unit associated content.
- Initiate a conversation comparing the carrying capacities of multiple models, verify that retrieved document segments cover the model codes and performance parameters mentioned in previous conversations.
- Upload a test data log document larger than 300 MB, confirm that no timeout error occurs during parsing.
- Initiate three consecutive follow-up questions, verify that each response can associate parameter information and project background from previous conversations.
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.