What the Data for This Category Looks Like
Log platform and observability data primarily originates from logging systems, Trace platforms, Metrics systems, and application SDKs. Updates occur daily or per version. Daily maintained documents include log collection specifications, distributed tracing instructions, metrics dictionaries, and dashboard configuration records. Data fields include log level, TraceID, metric name, timestamp, collected field values, and more. Some fields use specific units such as milliseconds, percentage, and bytes. Most data uses structured or semi-structured formats, and some log fragments contain non-standard collected fields.
Constraints on Knowledge Base Retrieval and Recall From These Characteristics
Scattered data sources with multiple structured and semi-structured content types require precise limitation of the target knowledge base set during retrieval to avoid mixing irrelevant business data. High update frequency requires recall logic to support incremental synchronization configuration, ensuring retrieval results include the latest collection specifications and distributed tracing instructions. Daily maintained documents contain business-specific keywords such as TraceID and log level. Retrieval processes must match these precise fields, while controlling the number of returned results to prevent excessive irrelevant log fragments from interfering with the context. Non-standard collected fields also require retrieval logic to have a degree of semantic fault tolerance, to adapt to log content in varying formats.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches precise keywords related to logs and distributed tracing, filters low-relevance non-operational content |
limit | Top 8 entries | Controls the number of returned log fragments and documents, avoids excessive redundant content causing context overload |
searchMode | semantic_search | Adapts to the semantic matching needs of semi-structured logs and distributed tracing documents, improves the probability of accurate hits |
usingReRank | Enabled | Performs secondary sorting on recall results by business relevance, optimizes the sorting results of precise business fields such as TraceID |
datasetSearchUsingExtensionQuery | Enabled | Automatically supplements operations and maintenance-related keywords based on user questions, improves the probability of hitting target documents |
collectionIds | Fill in according to the actually bound log knowledge base ID | Limits the retrieval scope to only include exclusive datasets for log platforms and observability, avoids cross-category data interfering with retrieval results |
Three Common Configuration Mistakes
- Symptom: An error stating "No retrievable content" appears during knowledge base retrieval, or empty results are returned. Cause:
collectionIdsis not correctly configured to limit the target dataset, so the retrieval scope covers non-log knowledge bases. - Symptom: After initiating a conversation via the API, the generated reply does not include log collection specification content from the knowledge base. Cause:
datasetSearchUsingExtensionQueryis not enabled, or the correct knowledge base set is not bound, leading to failure to retrieve target documents. - Symptom: Retrieval results include a large amount of redundant outdated configuration content. Cause: Incremental synchronization updates for the knowledge base are not configured, so recall results contain expired log collection specifications or distributed tracing instructions.
How to Verify Correct Configuration
- On the knowledge base management page of FastGPT v4.17.0, check that bound
collectionIdsonly include datasets related to log platforms and observability. - Submit a test question such as "Please review the current log collection specification", and verify that returned results include the corresponding document content stored in the knowledge base.
- When calling the API interface, confirm that the request parameters include the correct
datasetSearchUsingExtensionQueryandusingReRankconfiguration items, then check that the returned context contains relevant fields such as log level and TraceID. - Review the retrieval log, confirm that the number of recalled results matches the
limitsetting, and that similarity scores fall within the preset range forsimilarity.
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.