What the data for this category looks like
Data sources for ordnance equipment research reports include professional information platforms in the national defense and military industry sector, and public research results released by internal industry research institutions. Update frequency adjusts based on equipment development milestones. Regular research reports are updated quarterly. Special model research reports are released in real time alongside development progress.
Document structure includes fields such as equipment model identifiers, tactical and technical indicators, development progress, and supporting supply chain information. Most indicator fields include physical units, such as range, rate of fire, and weight. Individual documents have dense content, with large amounts of technical terminology and detailed data.
How these data characteristics constrain deployment and upgrade
The above data characteristics impose multiple constraints on deployment and upgrade workflows. Multi-source and heterogeneous research report sources require deployments to include configurable extensible data source access modules. These modules adapt to APIs or file upload interfaces from different platforms. Documents contain large numbers of tactical indicators with physical units. Deployments need field-level vector embedding rules configured, to avoid retrieval bias caused by unit ambiguity. Update frequency fluctuates with equipment development milestones. Upgrades need incremental synchronization scheduling configurations set, to avoid excessive cluster resource usage from full synchronization. Individual research reports have long lengths. Deployments need adjusted document segmentation and parsing timeout parameters, to avoid truncation of critical indicator content.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600–900 seconds | Ordnance equipment research reports have long individual lengths and contain large amounts of detailed content. Sufficient parsing time is required to avoid mid-process timeouts |
UPLOAD_FILE_MAX_SIZE | 1000–2000 MB | Individual research reports may include multi-page charts and data attachments. Larger upload volume limits are needed to support complete document uploads |
maxContext | 8000–12000 characters | Research report content is dense. A longer context window is required to fully convey indicator and background information |
Recall Count | Top 10–15 results | Professional information in ordnance equipment research reports has strong relevance. Sufficient recall volume is needed to cover relevant model and progress content |
Similarity Threshold | 0.75–0.85 | Matching accuracy for technical terminology and indicators is high. A higher threshold is required to filter irrelevant retrieval results |
Re-ranked Return Count | Top 5–8 results | Prioritize returning the most matching core research report content, to avoid excessive redundant information interfering with retrieval results |
The parameter values provided on this page are all 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 mistakes
- Symptom: All existing custom application configurations disappear after upgrading the version. Cause: Application configuration backups were not exported in advance, or persistent storage volumes were not mounted during upgrade, leading to data loss inside the container.
- Symptom: After Docker deployment, opening the front-end interface only shows the login screen, with no registration entry. Cause: The
ALLOW_REGISTERenvironment variable was not set totrue, or container ports were not mapped correctly, leading to front-end interface failures. - Symptom: Code running cannot be selected as a tool, and no wiring configuration area is displayed. Cause: The
TOOL_CODE_RUNfeature switch was not enabled, or front-end cache was not refreshed, leading to configuration items not loading correctly.
How to confirm configurations are set correctly
- Upload a single ordnance equipment research report file, then go to the knowledge base management page to view parsed fields. Confirm that key content such as tactical indicators and model identifiers has been correctly extracted.
- Initiate a technical terminology retrieval. Enter terms such as "main battle tank main gun caliber", then verify that the number of returned results matches the
Recall Countconfiguration, and that results include matching equipment model information. - Export existing application configurations before performing a version upgrade. Import the configurations after the upgrade is complete, then verify that links and parameters of the original application have not been lost.
- View the running logs of the deployment container. Confirm that there are no error messages such as document parsing timeouts or interface call failures.
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.