What data for this category looks like
Aerospace equipment-related marketing content data primarily comes from model development archives, official formal approval notifications, test verification reports, official marketing promotional materials, and internal communication script libraries. Data update rhythms trigger with new model project initiation, formal approval, and equipment fielding milestones. Daily maintenance only updates parameter corrections and promotional script iterations. Most documents are structured manuals and semi-structured promotional materials, containing fields such as model code, technical parameters, mission scenarios, and security classification levels. Technical parameter fields include standard units: for example, thrust in kilonewtons, orbital altitude in kilometers.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
The security classification attribute of aerospace equipment data requires that the retrieval and recall link must be bound to user permission verification, and only return compliant content matching the corresponding security level. The mixed semi-structured and structured document structure requires the parsing link to adapt to multi-format field extraction, avoiding misalignment between parameters and descriptions. Technical parameters with standard units require matching unit consistency during retrieval, avoiding vague recall. The non-fixed-cycle update rhythm requires support for incremental synchronization to adapt to rapid response needs for new model launches, reducing unnecessary full retraining operations. The high proportion of long documents requires a segmentation strategy that adapts to the semantic integrity of long texts.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Aerospace equipment documents mostly contain long technical paragraphs; this interval preserves the association between parameters and context |
similarity_threshold | 0.75–0.85 | Technical parameters require precise matching to avoid low-relevance generic content being included in retrieval results |
recall_top_k | Top 8 entries | Balances technical accuracy and scenario coverage; too many results will interfere with retrieval decision-making |
sensitive_filter_enable | Enabled | Documents contain security classification fields, so unauthorized classified content must be filtered |
incremental_sync_schedule | Triggered on demand | Update nodes are not fixed; on-demand synchronization reduces computing resource usage |
parse_unit_match | Enabled | Technical parameters include standard units, so unit consistency must be matched to avoid recall errors |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- After triggering a full knowledge base retraining, the system returns status code 504 with a response timeout. The cause is that the total volume of aerospace equipment documents is large and update nodes are not fixed, and full retraining will occupy excessive computing resources.
- Unauthorized classified model content appears in retrieval results, with the
secret_levelfield marked as confidential but still returned. The cause is that the sensitive content filter switch is not enabled, or the permission verification configuration is not bound to the security classification field. - Technical parameter units in retrieval results do not match, such as returning results in tons when querying for thrust. The cause is that the
parse_unit_matchswitch is not enabled, and unit fields are not extracted for verification during parsing.
How to confirm the configuration is correct
- Submit a test document containing security classification fields and technical parameters, check whether returned results filter unauthorized content, and confirm that the sensitive filter configuration is effective.
- Initiate an incremental synchronization task, verify whether newly uploaded model documents are correctly parsed and added to the knowledge base, and confirm that the incremental synchronization configuration adapts to non-fixed update rhythms.
- Enter a technical parameter query containing units, check whether returned results match the units, and confirm that the parameter unit matching switch is effective.
- Call the retrieval interface and specify a user permission level, check whether returned results only contain content matching the corresponding security level, and confirm that the permission verification configuration is correct.
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.