What data for this category looks like
Typical entities in the construction engineering quality and safety supervision field include construction quality and safety supervision stations, construction contractors, supervision units, and project owners. Daily business documents cover supervision plans, supervision inspection records, hidden danger rectification notices, quality issue handling forms, and completion acceptance supervision reports. Data sources include engineering quality and safety supervision systems, on-site real-name management platforms, supervision logs, and test reports. The update frequency is weekly. Document structures include fields such as business process nodes, on-site inspection details, and rectification requirements. No unified standardized format templates exist.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
Weekly updated multi-source documents require regular incremental data synchronization to avoid recalling expired on-site inspection records. Documents from different entities have inconsistent fields. Retrieval must accurately match content for the corresponding business segment to prevent mixing in off-project materials. Most documents are professional technical texts with long individual entries, which consume model context windows. Reasonable control over the number and length of recall results is necessary. Business process guidance must cover core segments such as hidden danger rectification and completion acceptance. The accuracy of recall results directly affects the compliance of process advancement. Differences in document formats across data sources also increase text preprocessing costs during retrieval. Targeted retrieval rule configuration is required to adapt to different document types.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.72–0.85 | Filter non-core on-site log content, ensure recalled documents directly align with business process guidance needs, and adapt to the matching precision of professional terminology |
limit | Top 8 entries | Balance context window usage and information coverage, avoid too many long text documents exceeding the model's processing limit, while covering materials from multiple segments including supervision, rectification, and acceptance |
usingReRank | Enabled | For engineering documents with cross-field cross-references, use re-ranking to improve the sorting priority of core matching content, and optimize the information presentation order for business guidance |
datasetSearchUsingExtensionQuery | Enabled | Associate related documents such as supervision plans and rectification records, supplement context information for business processing, and ensure guidance content covers complete process nodes |
collectionIds | Bind corresponding dataset IDs by business group | Distinguish document collections for different entities including construction quality and safety supervision stations, contractors, and supervision units, to prevent irrelevant cross-entity data from interfering with retrieval results |
Three common misconfigurations
- Retrieval takes more than 40 seconds, and logs show the retrieval phase occupies a large amount of computing resources. The cause is failure to adjust the
limitparameter for weekly updated full documents, resulting in recall of too many redundant historical documents and increased retrieval computing load. - CSV import fails with a prompt that the Q field exceeds the length limit. The cause is failure to enable the dataset's automatic chunking function, and failure to split long documents such as supervision inspection records and completion acceptance supervision reports, leading to individual text exceeding the preset length limit.
- Configuring online search does not return the latest on-site inspection records. The cause is failure to bind the online search data source to the corresponding interface of the engineering quality and safety supervision system, or failure to correctly trigger the extended query rule of
datasetSearchUsingExtensionQuery.
How to confirm the configuration is correct
- Initiate a query containing "hidden danger rectification closure", and verify whether the returned results include corresponding business documents such as hidden danger rectification notices and quality issue handling forms.
- View the retrieval logs of FastGPT v4.17.0, confirm that single retrieval time falls within a reasonable range, and no timeout errors occur.
- Check the dataset binding configuration, confirm that
collectionIdshas been associated with the document collection of the corresponding entity, and no irrelevant construction permit documents are included. - Import a test CSV containing long text, confirm that the document can complete the import process normally after automatic chunking.
The values given 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.