What data for this category looks like
Automated equipment investment research data primarily comes from manufacturer public technical manuals, industry general standards, factory calibration reports, operation and maintenance logs, and patent literature. Data update rhythms adjust alongside manufacturer new product launches and industry standard iterations, with no fixed cycle. Most individual documents mix structured and semi-structured content, including fields such as equipment model, rated power, rotational speed accuracy, fault codes, and operation and maintenance cycles. Units include kW, rpm, mm, fault codes, and more. Some documents include detailed wiring diagrams and debugging steps.
What constraints these characteristics impose on conversation logs and auditing
The structured parameters and fault code features of automated equipment investment research data require conversation logs to fully record retrieved parameter values, fault codes, and corresponding document versions. The non-fixed update cycle requires auditing workflows to associate logs with knowledge base data version identifiers, to avoid deviations caused by cross-version reference. The mixed multi-document structure requires logs to mark the source document and chapter of retrieved segments, to facilitate backtracking. Additionally, the time-series nature of equipment operation and maintenance logs requires conversation logs to retain device operating status timestamps at the time of interaction, to ensure audits can restore the original context.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
logRetentionDays | 180 days | Financial industry investment research auditing typically requires retaining interaction records for over six months, to meet compliance requirements |
maxContext | 8000–12000 characters | Automated equipment documents often include long parameter lists and fault codes, requiring sufficient context to link multiple retrieved segments |
similarityThreshold | 0.75–0.85 | Matching accuracy requirements for equipment parameters and fault codes are high, to avoid low-match-rate invalid content entering the audit scope |
recallTopK | Top 8 entries | Covers all dimensions of equipment parameters and fault scenarios, to avoid missing critical information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some equipment manuals include large numbers of diagrams and structured tables, leading to longer parsing times |
auditLogAutoExport | Triggered monthly | Aligns with the standard monthly audit cycle for financial industries, to facilitate regular archiving |
The parameter values provided on this page are common 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 configuration mistakes
- Phenomenon: After consecutive questions in the same conversation window, knowledge base retrieval latency increases significantly, with a maximum of over 90 seconds. Cause: No reasonable historical context cleanup threshold is configured, causing each retrieval to load excessive old conversation logs and knowledge base segments.
- Phenomenon: Device document version identifiers are missing from audit logs, making it impossible to backtrack data sources. Cause: Configuration for associating logs with knowledge base metadata is not enabled, and only retrieved content is recorded without associating document version information.
- Phenomenon: Database connection fails after deployment, and port 3000 is inaccessible. Cause: Database connection parameters are not configured correctly, or container network policies restrict port communication between the service and the database.
How to confirm configurations are complete
- Log in to the audit log management interface, view the last 10 conversation logs, and confirm each log includes the knowledge base document version number and chapter identifier.
- Simulate more than 5 consecutive questions, observe retrieval latency, and confirm latency does not increase continuously with conversation turns.
- Check container runtime logs, confirm there are no database connection errors, and service port status is normal.
- Trigger a manual audit log export, confirm the exported file includes complete interaction records and associated knowledge base metadata.
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.