What this category of data entails
The core data for this category originates from monitoring alerts, logging platforms, APM tools, and user feedback channels. Daily generated documents fall into four categories: fault tickets, event timelines, emergency response plans, and fault notifications. Fields include event unique identifier, occurrence timestamp, affected service scope, alert level, and stop-loss operation records, among others. Data updates follow a real-time sync for alerts and logs. A complete event archive document is generated once each incident is resolved, with no fixed batch update cycle.
Constraints imposed on citation sources and traceability
The real-time nature of monitoring alerts and logs requires the traceability workflow to quickly retrieve the latest data, preventing fault response delays caused by latency. The structured fields of documents such as fault tickets and event timelines require traceability results to precisely match associated fields like event ID and timestamp, avoiding cross-incident mixed citations. The volume of archived data for a single incident varies based on incident complexity, so the number of sources retrieved in a single search must be limited to prevent context overload that disrupts fault diagnosis. External notification compliance requirements mandate that traceability results can be traced back to their original data sources, avoiding citations of content without a clear origin.
Configuration guidelines
This configuration uses the parameter logic of FastGPT v4.17.0:
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Matches the core content length of a single fault ticket and timeline, avoiding context overflow |
responseData | Return only associated fields | Focuses on core fields such as event ID, timestamp, and alert level, reducing interference from irrelevant information |
detail | Basic details | Retains brief identifiers of original data sources, without expanding redundant log snippets |
| Single search limit | Top 3 entries | Limits the number of retrieved sources to support fast decision-making during fault response |
| Similarity threshold | 0.75–0.85 | Filters low-relevance historical incident data to ensure cited content is strongly linked to the current fault |
| Maximum context | 1500 characters | Adapts to the average length of a single incident archive document, balancing retrieval accuracy and response speed |
Three common misconfigurations
- Phenomenon: Unconfigured data sources appear in conversation citations. Cause: The retrieval scope is not limited to the document set associated with the current incident, and global knowledge base content is incorrectly retrieved.
- Phenomenon: Citation sources display empty or lack clear identifiers. Cause: The basic details configuration for the
detailparameter is not enabled, so basic identifier information for original data sources is not retained. - Phenomenon: The number of recalled citations exceeds the expected limit. Cause: A reasonable single search limit is not set, or configuration values do not align with the fast decision-making needs of fault response.
How to verify a correct configuration
- Trigger a simulated fault query, and confirm that returned citation sources only include documents associated with the current incident.
- Review the details of each citation to verify that basic data source identifiers and timestamp information are present.
- Count the number of recalled citations per search to confirm it matches the preset single search limit.
- Adjust the similarity threshold and validate recall results to confirm low-relevance content is effectively filtered.
The values provided here are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.