What This Category of Data Looks Like
This category of data primarily originates from cloud database consoles, slow logs, monitoring metrics, and ticket systems. Updates follow a daily sync schedule or real-time sync when instances are modified. Daily generated documents include instance change orders, backup and recovery records, performance diagnosis reports, and parameter adjustment records. Fields include instance unique identifiers, change times, slow SQL execution durations, backup file sizes, monitoring metric thresholds, and more. Units include seconds, GB, counts, and others.
Constraints on Citation Sources and Traceability Imposed by These Characteristics
Decentralized data sources require associating cross-system logs and tickets to complete traceability, so cross-source retrieval rules are required. Differences in update frequencies require a combination of incremental and full synchronization to avoid redundant queries. The large number of document fields and inconsistent units require binding corresponding fields and unit identifiers during traceability. Multi-tenant scenarios require isolation of different customers’ database data to prevent cross-tenant citation. The content length of slow logs and performance reports varies widely, easily exceeding token limits, so citation parameters must be adjusted accordingly.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
quoteMaxToken | 8000–12000 token | Matches the average content length of cloud database operation and maintenance documents to avoid truncation of critical change and performance data |
responseData | Return full citation fields | Must include core identifiers such as instance ID and change time to support traceability verification |
detail | Enabled | Displays detailed fields such as slow SQL and backup paths to meet the precise traceability needs of DBAs |
| Single retrieval limit | Top 3–5 entries | Matches the number of records associated with a single question in daily operation and maintenance documents, avoiding excessive redundant data occupying context |
| Incremental synchronization interval | 15 minutes | Adapts to the real-time requirements of cloud database changes, balancing query load and data freshness |
Three Common Configuration Mistakes
- Symptom: The tool call module connected to the knowledge base in the workflow cannot output citation content. Cause: The
responseDataconfiguration is not enabled, and traceable fields such as instance ID and backup path are not specified for return. - Symptom: Knowledge base query takes too long, and a single retrieval occupies excessive resources. Cause:
quoteMaxTokenis set to 50000 token, loading excessive slow logs and monitoring data. - Symptom: Conversation context is disturbed by irrelevant citations, and core operation and maintenance information is obscured. Cause: The single retrieval limit is set too high, introducing historical change records beyond required scope.
How to Verify Proper Configuration
This verification process applies to FastGPT v4.17.0.
- Initiate a test query for slow SQL location, check whether the returned results include traceable fields such as instance ID and execution duration.
- View retrieval logs to confirm that the token count of each call does not exceed the preset
quoteMaxTokenrange. - Test the multi-knowledge base association scenario to verify that citation content from different cloud database instances does not appear cross-tenant mixed.
- Trigger a change order query to confirm that the returned document content matches actual console records.
The configuration values listed above are common starting points, and should be evaluated against the reader's own specific samples and operational requirements.
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.