What the data for this category looks like
Typical entities for this category include housing and urban-rural development quality and safety supervision stations, construction entities, supervision entities, and construction clients. Daily generated documents include supervision plans, supervision inspection records, hidden danger rectification notices, quality problem handling forms, and completion acceptance supervision reports. Data sources cover engineering quality and safety supervision systems, construction site real-name management platforms, supervision logs, and test reports. The update frequency is once per week. Core business processes center on construction site supervision. Relevant personnel use various documents to complete on-site document verification, closed-loop tracking of hidden danger rectification, and verification of completion acceptance conditions.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Dispersed data sources include both structured and unstructured content. Retrieval must support vector recall and keyword matching across multiple document formats. The weekly update frequency requires the knowledge base synchronization cycle to align with this rhythm. Data lag will reduce question and answer accuracy. Fixed document types cover the entire supervision process. Retrieval must accurately match the supervision phase linked to each document. For example, questions about hidden danger rectification should prioritize recalling rectification notices and handling forms. Business errors carry severe consequences. Recall results must have high confidence. Irrelevant documents must not interfere with question and answer judgments.
Reference only; verify against the target FastGPT release and deployment documentation.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the specialized terminology density of documents in this category, prevents recall of irrelevant non-supervision documents |
limit | Top 8 entries | Covers common document types across the entire supervision process, while controlling context length |
searchMode | keyword + vector | Balances the precision of keyword matching and the semantic understanding capability of vector recall, adapts to specialized terminology queries |
usingReRank | Enabled | Performs secondary sorting on recall results, filters low-relevance documents, and improves the accuracy of party building learning Q&A |
datasetSearchUsingExtensionQuery | Enabled | Automatically generates associated query terms for party building-related extended questions, covers scenarios combining party building and quality and safety supervision |
collectionIds | Bind the exclusive document collection for this category | Ensures retrieval only calls knowledge base data related to quality and safety supervision and party building, avoids interference from cross-category data |
Three Common Configuration Errors
- Phenomenon: After binding a self-hosted Qdrant vector database, retrieval returns 0 results. Cause: The
collectionIdsparameter is not configured correctly. The exclusive vector collection for this category is not specified. No matching stored quality and safety supervision documents can be located. - Phenomenon: Retrieval results include a large number of non-supervision documents. These documents interfere with party building learning Q&A judgments. Cause: The retrieval scope is not limited via
collectionIds. Cross-category knowledge base data is called. - Phenomenon: For questions combining party building and quality and safety supervision hidden danger rectification, relevant documents cannot be recalled. Cause:
datasetSearchUsingExtensionQueryis not enabled. No extended query terms are generated. Semantically related scenarios cannot be covered.
How to Confirm the Configuration is Complete
- Run a single query related to a supervision plan. Check whether returned results include supervision plan-type documents.
- Adjust the value range of the
similarityparameter. Observe changes in the relevance of recall results. Confirm the matching logic meets business requirements. - Test questions combining party building learning and quality and safety supervision hidden danger rectification. Verify that
usingReRankperforms secondary sorting on results. - Check the knowledge base synchronization logs. Confirm that the weekly incremental synchronization task runs normally. This matches the data update frequency.
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 2026-09-28.