What This Category of Data Looks Like
Typical users are SREs, on-call operations and development leads. Daily processed documents include trouble tickets, incident timelines, emergency response plans, and incident notifications. Data sources cover monitoring alerts, log platforms, APM tools, and user feedback. Updates occur in real time or per incident trigger. Data fields include incident ID, impact scope, remediation actions, notification time, and more. Structure adjusts dynamically based on the specific scenario of each individual incident, with no fixed unified statistical fields.
Constraints Imposed on Source Citation and Traceability
Real-time updated data sources require the citation and traceability workflow to support quick synchronization of latest data, preventing delays in incident response efficiency caused by stale data. Multi-source heterogeneous data types require clear source identifiers, to ensure distinct recognition of different raw data types such as alerts, logs, and user feedback during citation. Fixed incident document structure requires citation slices to match the document’s inherent separation logic, avoiding disruption of critical timelines and operational steps. The high-risk nature of incident handling requires traceability results to have high confidence, ensuring cited content can be directly traced back to the original document to support impact assessment and external notifications.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Citation Token Count | 800–1200 token | Matches the slice length of documents such as trouble tickets and emergency response plans, ensuring cited content fully covers key operational steps |
| Return Citation Data | Enabled | Requires returning detailed cited references to meet traceability requirements for external notifications |
| Show Details | Enabled | Displays original file information corresponding to cited snippets, enabling quick location of original documents |
| Chunk Overlap Length | 50–80 characters | Adapts to continuous content in incident timelines, avoiding slicing that breaks critical time nodes |
| Single Retrieval Limit | Top 6 entries | Covers retrieval results from multiple data sources, ensuring complete access to alert and log information required for impact assessment |
| Maximum Context Length | 4000–6000 token | Adapts to real-time updated incident data, avoiding exceeding model processing limits |
Three Common Misconfigurations
- Call the API to publish knowledge base Q&A, and no citation fields appear in the returned results. The cause is that the Return Citation Data configuration item is not enabled, and citation reference details are not requested.
- Cited snippets displayed in the terminal response do not correspond to the original document. The cause is that the chunk overlap length is set too small, causing slices to break continuous content in the original document and preventing matching of complete citation sources.
- Cited content is truncated leading to missing critical information. The cause is that the Maximum Citation Token Count is set too small, failing to fully retrieve key remediation action steps in trouble tickets.
How to Verify Proper Configuration
- Call the corresponding API interface, check whether the returned results include citation-related fields and original file information.
- Enter incident-related questions in the terminal test interface of FastGPT v4.17.0, verify whether the response displays cited snippets and source details.
- Adjust chunk parameters, validate that cited snippets cover complete key steps in trouble tickets.
- Check platform configuration logs to confirm that citation-related configuration items have been correctly enabled.
The values provided are common starting points and should be measured 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.