Deployment and Upgrade for Cybersecurity Investment Research Knowledge Base Construction

Cybersecurity investment research data sources include the National Vulnerability Sharing Platform, vendor official security advisories, open-source

What the Data for This Category Looks Like

Cybersecurity investment research data sources include the National Vulnerability Sharing Platform, vendor official security advisories, open-source threat intelligence feeds, and internal security logs. Update cadences vary by data source type. Vulnerability disclosure information is updated in real time. Quarterly threat analysis reports are released on a fixed schedule. Internal logs are ingested in real time. Document structures include individual vulnerability details and long-form reports. Fields include CVE ID, CVSS score, attack vector, threat level, affected asset scope, remediation steps, and more. Some structured fields use standardized scoring units.

What Constraints Do These Characteristics Impose on Deployment and Upgrade

Multi-source heterogeneous data sources require configuring multiple adapter access rules during deployment to avoid data format parsing errors. Mixed update cadences of real-time threat intelligence and periodic long-form documents require enabling incremental synchronization during deployment to reduce resource usage from full data pulls. Documents contain both structured fields and long text content, requiring preset metadata mapping rules during deployment and configuring adaptive document chunking parameters. During version upgrades, the index structure of the legacy vulnerability database must be compatible to prevent historical data search failures.

How to Set Configurations

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS600 secondsCybersecurity report documents typically have large length, requiring sufficient parsing time
UPLOAD_FILE_MAX_SIZE2000 MBSome vendor security advisory compressed packages and quarterly threat reports have large file sizes
Chunk Length800–1200 charactersCybersecurity vulnerability details often include technical details; overly long chunks will break context association
Recall CountTop 10Investment research scenarios require covering multi-dimensional vulnerability intelligence; too many entries will increase context load
Similarity Threshold0.75–0.85Balances accurate recall and missed detection risks, adapting to matching logic for structured vulnerability fields
Incremental Sync Interval300 secondsReal-time threat intelligence requires frequent synchronization to avoid intelligence lag

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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Issue: After upgrading a local deployment to v4.8.20, browser access to the console shows compatibility errors. Cause: No browser-compatible static resource caching rule was added in the deployment configuration, and the polyfill required by the new frontend dependencies was not loaded correctly.
  • Issue: After configuring text-embedding-ada-002 via OneAPI access, knowledge base retrieval returns the error "No results". Cause: The embedding model's interface address prefix was not correctly configured in the system settings, or environment variables were not loaded properly.
  • Issue: After adding a custom plugin, the workflow does not display input and output parameters. Cause: The plugin's manifest.json did not correctly configure the inputs and outputs fields, and the plugin directory was not reloaded during deployment.

How to Verify Configurations Are Set Correctly

  • Upload security documents matching your business scenario, check the completion status of parsing tasks, and confirm that the elapsed time aligns with the configured PARSE_FILE_TIMEOUT_SECONDS value.
  • Submit a retrieval request, verify that the number of recall results and similarity matching degree fall within the configured parameter ranges.
  • Restart the deployment service, confirm that the frontend page loads normally with no compatibility errors.
  • Import the custom plugin, verify that the workflow interface correctly displays the plugin's input and output configuration items.

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.