What this category of data entails
This category of data mainly comes from the national pollution discharge permit management information platform, enterprise environmental protection account books, online monitoring systems, and environmental statistics systems. The update frequency is quarterly. Daily documents include pollution discharge permit application forms, implementation reports, self-monitoring plans, account records, change applications, and permit copies. Document fields cover permit limits, emission boundaries, monitoring indicators, account cycles, and other relevant items. There are no unified fixed units, and measurement specifications corresponding to the target business scenario must be matched.
What constraints do these characteristics impose on the knowledge base retrieval and recall link?
Quarterly updated data must be synchronized to the vector database regularly to avoid recalling expired permit information. Multi-source data have large format differences, so unified word segmentation and field mapping are required to ensure cross-source information can be associated during retrieval. Documents cover the full process of application, implementation, and change. Retrieval must accurately match business process keywords to avoid recalling irrelevant environmental impact assessment documents. Individual documents are relatively long, so the length of recalled blocks must be reasonably controlled to prevent context overflow.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.72–0.85 | Core pollution discharge permit fields such as permit limits and emission boundaries require high matching accuracy to filter low-relevance non-permit documents |
limit | Top 8 entries | Single business application scenarios need to cover multiple document types including application, implementation, and change. Excessive documents will cause the context to exceed the model's processing limit |
searchMode | vector + hybrid | Combine semantic matching and keyword matching to accurately recall cross-source permit documents and enterprise account data |
usingReRank | Enabled | In scenarios where individual documents are relatively long, reranking can filter out recalled results that are semantically similar but business-irrelevant |
datasetSearchUsingExtensionQuery | Enabled | Business process keywords can be extended to permit-related professional terms to improve the accuracy of cross-source data recall |
collectionIds | Bind the exclusive pollution discharge permit dataset ID | Narrow the retrieval scope to avoid recalling irrelevant documents from other ecological and environmental categories |
Three common configuration errors
- Phenomenon: Knowledge base documents are retrieved, but the large language model output only summarizes the process without citing specific clause content. Cause:
datasetSearchUsingExtensionQueryis not enabled, and the input query is not extended to keywords matching document clauses, resulting in recalled document fragments not being correctly associated with the final answer. - Phenomenon: Single retrieval takes more than 60 seconds, with hardware configuration of 8 cores, 64G memory, and RTX2070. Cause: A reasonable
limitparameter is not set, leading to excessive recalled documents that increase vector calculation and reranking time. The exclusive dataset is not bound, resulting in an overly large retrieval scope. - Phenomenon: Document recall results for the same business problem are inconsistent across multiple attempts, and answer content varies. Cause: The
similaritythreshold andcollectionIdsare not fixed, andusingReRankis not enabled, leading to fluctuations in the candidate recall set each time.
How to verify correct configuration
- Users may access the dataset management page of FastGPT v4.17.0 to confirm that the exclusive pollution discharge permit dataset has been created and bound, and the
collectionIdsconfiguration points to this dataset. - Initiate a test retrieval by inputting "Process requirements for pollution discharge permit change applications". Check whether the recall results include change application documents, and whether the
similaritythreshold falls within the preset range. - View the retrieval log to confirm that
usingReRankanddatasetSearchUsingExtensionQueryare enabled, and that retrieval time meets the requirements of the target business scenario. - Initiate the same test retrieval multiple times to confirm that there are no obvious fluctuations in recall results or answer content.
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.