What the Data for This Category Looks Like
Reference only; verify against the target FastGPT release and deployment documentation.
What Constraints Do These Characteristics Impose on the Knowledge Base Retrieval and Recall Link?
Multi-source data access requires that the retrieval scope be limited to specified business datasets, to avoid irrelevant content interfering with compliant retrieval. The daily update frequency requires configuring automatic incremental synchronization tasks, to ensure that the knowledge base content used for retrieval is synchronized with the latest business data. Diverse document types require adapting different retrieval matching logic, to balance precise matching of professional terms and standard provisions. Since the data is directly related to safety production compliance requirements, the results of retrieval and recall must have high confidence. Parameter adjustments are needed to optimize accuracy, and avoid missing key hazard judgment and rectification-related content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Balances precise matching and recall coverage, and avoids low-relevance results interfering with safety production compliance retrieval |
limit | Top 8–12 entries | Controls context length, while covering relevant content across multiple types of business documents |
searchMode | vector + keyword | Balances semantic matching and professional keyword matching, adapting to standard terms related to hazard inspection |
usingReRank | Enabled | Performs secondary ranking on recall results, elevating the priority of highly relevant content and strengthening the accuracy of compliant retrieval |
datasetSearchUsingExtensionQuery | Enabled | Automatically expands query terms to cover synonymous expressions of hazard inspection, improving recall coverage |
collectionIds | Bind specified datasets such as safety production supervision and enterprise self-inspection | Limits the retrieval scope, ensuring that recalled content aligns with the business data of this category |
Three Common Misconfigurations
- Phenomenon: A large number of duplicate hazard management ledger files appear in retrieval results. Cause: No deduplication verification was performed on documents uploaded to the knowledge base, or duplicate entries were not filtered during multi-data-source synchronization.
- Phenomenon: Historical call records for individual business documents cannot be viewed. Cause: The knowledge base's call log collection switch was not enabled, or the log storage configuration did not cover operations in the retrieval link.
- Phenomenon: The retrieved content does not match the relevant clauses of the major hazard judgment standards. Cause: The
similarityparameter was set too high, causing some low-matching but critical standard clauses to be filtered out, ordatasetSearchUsingExtensionQuerywas not configured, leading to insufficient query term coverage.
How to Verify Proper Configuration
- Enter the FastGPT knowledge base management interface, check the synchronization logs of the specified dataset, and confirm that the daily incremental synchronization task is running normally.
- Submit a retrieval request for a rectification notice, and verify that the number of returned results matches the value configured for the
limitparameter. - Enable the retrieval log function, submit a retrieval operation, and check whether the parameters and recall results of this call are recorded in the logs.
- Upload a duplicate hazard inspection list file, and check whether duplicate entries are not returned in the retrieval results.
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 2026-09-28.