What the data for this category looks like
Aerospace equipment research reports are core reference materials for military industry research at financial institutions. Their sources primarily include public reports from aerospace development units, industry professional journals, official project approval announcements, and test data briefings. Their update rhythm adjusts dynamically based on model development milestones, annual industry summaries, and quarterly test data updates. Most documents contain mission background, system composition, quantitative performance parameters, test conclusions, and reference lists. Fields include model codes, development entities, test times, core performance parameters, and citation markers. Most parameter units are engineering-specific units such as kilonewtons, kilometers, and seconds.
What Constraints These Characteristics Impose on Model Access and Configuration
Aerospace equipment research reports contain a large number of professional parameters with engineering units, proprietary model codes, and structured references. These characteristics create multiple constraints for model access and configuration. It is necessary to adapt to semantic encoding of professional terms to avoid semantic separation between parameters and their associated systems. It is necessary to match the update rhythm of research reports when configuring the knowledge base synchronization cycle, to ensure data timeliness. It is necessary to configure output filtering rules based on the format of reference citation markers. It is necessary to adjust long text segmentation logic to retain contextual association between parameters and their corresponding systems.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
embedding_model | Qwen2-7B-Embed or text-embedding-3-large | Adapts to the semantic encoding requirements of aerospace professional terms and engineering parameters, improving retrieval accuracy |
chunk_size | 1000–1500 characters | Parameters in aerospace research reports are tightly bound to their corresponding system descriptions. Segmentation must retain contextual association to avoid splitting core parameter groups |
top_k | Top 8–12 results | Aerospace research reports have dense parameters. A sufficient number of relevant segments must be retrieved to cover complete performance indicators and background information |
similarity_threshold | 0.72–0.80 | Filters low-correlation general industry descriptions, retaining only retrieval results that strongly match aerospace equipment parameters |
SYSTEM_PROMPT | Answer solely based on retrieved aerospace equipment research report content. Do not include citation markers in outputs, and clearly mark the model and release time of the cited source | Adapts to the professional output requirements of aerospace research reports, avoiding residual citation marker issues |
sync_interval | Every 7 days | Matches the quarterly and annual update rhythm of aerospace research reports, ensuring the timeliness of knowledge base data |
The parameter values provided on this page are common recommended 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 your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Citation markers such as
[1]appear in model output results. Cause: No citation marker filtering rule is configured inSYSTEM_PROMPT, or original citation markers in knowledge base segments are not stripped during preprocessing. - Phenomenon: The knowledge base synchronization task returns a
504 Gateway Timeouterror. Cause:sync_intervalis set too short, or the value ofPARSE_FILE_TIMEOUT_SECONDSis less than the time required to parse long aerospace equipment research report documents. - Phenomenon: Retrieved parameter segments are separated from their corresponding system descriptions, making complete performance explanations impossible. Cause:
chunk_sizeis set too small, cutting off the contextual association between parameters and their corresponding systems during segmentation.
How to Confirm the Configuration Is Properly Set Up
- Execute a single aerospace equipment research report parsing task, check whether the parsed text has stripped original citation markers, and whether parameters and system descriptions are fully retained.
- Initiate a simulated retrieval request, verify that the number of retrieval results matches the
top_kconfiguration, and the similarity scores fall within the preset range. - Configure a test aerospace professional question, check that the model output does not contain citation markers and only answers based on retrieved content.
- View the knowledge base synchronization logs, confirm that the synchronization cycle matches the
sync_intervalconfiguration, and no timeout errors occur.
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.