What this category of data includes
This category of data primarily comes from safety production supervision systems, enterprise hazard self-inspection systems, law enforcement inspection records, and accident statistics systems. The update frequency is daily. Commonly processed documents include hazard inspection lists, hazard management ledgers, rectification notices, review records, and major hazard supervision orders. These documents are generated across the full lifecycle of hazard inspection, rectification, and review, and contain core fields such as hazard identification, responsible entities, rectification requirements, and review conclusions. Most documents use office formats including docx, pdf, and similar types.
What constraints do these characteristics impose on knowledge base retrieval and recall
The daily updated nature of this category’s data requires the retrieval pipeline to support incremental synchronization. This avoids excessive system resource usage from full index rebuilding. Multiple types of office documents are stored together, and core fields differ significantly across document types. Differentiated weight configurations must be set for key information such as hazard number, rectification responsible person, and rectification deadline. Data sources are scattered, covering supervision, self-inspection, law enforcement, and other scenarios. A unified retrieval entry is needed to ensure consistent recall across multi-source data. The business risk level is relatively high. Retrieval results must accurately match hazard judgment standards and historical rectification records to avoid missing core information that reduces inspection efficiency.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | This category of data is tied to business risks. Low-correlation results must be filtered to ensure accurate recall of core hazard information. |
limit | Top 10 entries | In daily inspection and rectification scenarios, a single retrieval does not need excessive results to avoid information overload interfering with decision-making. |
searchMode | Hybrid vector retrieval + keyword matching | Balances semantic understanding and precise field matching to meet retrieval needs for multiple types of hazard documents. |
usingReRank | Enabled | Improves the ranking priority of highly relevant results, adapts to high-risk business scenarios, and reduces the chance of missed detections. |
datasetSearchUsingExtensionQuery | Enabled | Automatically expands query terms to cover synonymous expressions of hazard judgment standards, optimizing retrieval effects during comparative inspection workflows. |
collectionIds | Configure corresponding collection IDs grouped by document type | Distinguishes between different document types such as hazard inspection lists and rectification ledgers, enabling targeted recall and improving retrieval efficiency. |
Three common configuration mistakes
- Phenomenon: The index corresponding to manually inserted knowledge base documents disappears automatically after several hours. Cause: No incremental synchronization verification mechanism is configured for the dataset, or the persistent storage strategy of the corresponding collection is not bound during manual insertion. This causes the system to automatically clean temporary indexes not associated with any task.
- Phenomenon: When batch importing multiple format files such as docx and pdf, the number of retrieved and recalled results is far lower than expected. Cause: The batch parallel parsing configuration for multi-format files is not enabled, leading to parsing failures for some files that are not added to the index library.
- Phenomenon: When searching for major hazard judgment standards, the corresponding clause content is not matched in the results. Cause: The
datasetSearchUsingExtensionQueryconfiguration is not enabled, and query terms are not automatically expanded to cover synonymous expressions of the standards, leading to insufficient precise matching accuracy.
How to verify correct configuration
- Manually upload a hazard rectification notice, wait for index generation, then perform a targeted retrieval to confirm the document can be recalled normally.
- After configuring an incremental synchronization task, modify the rectification deadline of an existing document, wait for the update to complete, then perform a retrieval to confirm the retrieval result includes the latest deadline information.
- After enabling
usingReRankanddatasetSearchUsingExtensionQuery, enter "major accident hazard judgment" to confirm the ranking priority of retrieval results meets business requirements. - After batch importing multi-format documents, check that the number of documents in the dataset matches the number of imported files to confirm no items are missing.
The values given are common starting points and should be measured against the sample data applicable to the specific deployment.
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.