What the data for this category looks like
Ordnance equipment investment research data sources include public announcements from the National Defense Science, Technology and Industry Bureau, public military industry research reports, disclosure documents on the development progress of ordnance equipment models, and public information from supporting supply chain enterprises. There is no fixed update cycle. Sudden updates are triggered at the project approval, finalization, and equipment commissioning nodes of models. Regular industry research reports are updated every two weeks or monthly. Document structures include long technical proposals, structured parameter tables, and time-series progress documents. Most fields include physical units such as millimeters, kilometers, and hours, and cover core information such as equipment models, finalization time, and technical indicators.
What constraints these characteristics impose on the deployment and upgrade process
The high proportion of long documents, numerous structured fields, and aperiodic updates of ordnance equipment investment research data impose multiple constraints on the deployment and upgrade process. Long document parsing takes a long time, so sufficient parsing resources and timeout configurations must be reserved. Structured parameters require preset field mapping rules, and the original index structure must not be damaged during the upgrade process. Aperiodic updates require configuring an incremental synchronization mechanism during deployment to avoid data synchronization interruptions during upgrades. Compatibility with multi-source data requires adapting to different formats of public and semi-public documents in advance during deployment.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Most ordnance equipment investment research documents are long technical proposals, and their parsing time far exceeds that of general documents |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Documents containing multi-page drawings and complete machine parameter tables have relatively large file sizes |
Segment Length | 800–1200 characters | Balance the integrity of technical parameters and contextual relevance |
Number of Retrieved Documents | Top 8 entries | Investment research requires covering multi-dimensional parameters, and too many retrieved entries will increase inference latency |
Similarity Threshold | 0.75–0.85 | Distinguish different iterative versions of the same equipment model, and avoid retrieving irrelevant data |
WORKFLOW_RUN_TIMEOUT | 600 seconds | Complex investment research workflows involve multi-source data association, so extended running timeout is required |
The parameter values provided on this page are common recommendations that serve as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require on-site analysis. It is recommended to test on your own samples before finalizing the settings.
Three common misconfigurations
- Custom model configuration is lost after upgrade, and the system automatically switches to the default model when initiating a chat in the interface. The cause is that the upgrade script did not execute the configuration migration steps for the original application, resulting in the overwriting of bound model information.
- A connection timeout prompt appears when entering the workflow after Docker deployment. The cause is that the port mapping for workflow calls was not opened during deployment, or the container network configuration does not match the host machine's network segment.
- A username or password error prompt appears when logging into the system. The cause is that the initial administrator account configuration was not correctly written to the database, or the deployment initialization script was not executed.
How to verify successful configuration
- Upload a typical ordnance equipment model parameter document, and check whether the parsed text completely retains the technical parameter fields without truncation or garbled characters.
- Initiate an investment research-related query, and verify that the number of returned retrieved documents matches the configured number of retrieved documents.
- Perform a version upgrade operation from 4.8.14 to 4.8.15, and verify that the original application's model configuration and knowledge base index have not changed.
- Access the non-login link from an external device, and confirm that the knowledge base can be loaded normally and conversations can be initiated.
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.