What this category of data consists of
Data for this category mainly comes from the national pollution discharge permit management information platform, corporate environmental protection ledgers, online monitoring systems, and environmental statistics systems. The update frequency is quarterly. Daily processed documents include pollution discharge permit application forms, implementation reports, self-monitoring plans, ledger records, change applications, and permit copies. Most documents contain structured fields such as permitted emission limits, emission boundaries, and monitoring frequencies. Some documents include numeric parameters and unit identifiers. Data users include pollution discharge permit management staff in ecological environment departments, environmental protection teams at polluting enterprises, and third-party environmental service institutions.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
The quarterly update cycle of the data requires the retrieval system’s index rebuilding schedule to align with business update rhythms. This prevents expired permit limits or ledger data from being returned in recall results. The presence of structured fields and numeric parameters requires retrieval to accurately match keywords and numeric units. This avoids irrelevant results disrupting verification work. Differences in data formats across multiple sources require the retrieval system to support parsing documents in various export formats. The core business requirement is to verify permit specifications against on-site implementation. Retrieval must prioritize content directly related to industry technical specifications and permit limits to meet core verification needs.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Pollution discharge permit documents require precise matching of core business content such as permitted emission limits and ledger records. This threshold filters low-relevance results and retains high-match content needed for core verification |
limit | Top 8 results | Core verification content for a single pollution discharge permit document is concentrated in a small number of key sections. A small number of highly relevant results can cover business audit needs |
usingReRank | Enabled | It is necessary to distinguish similar emission limits and permit requirements across different industries. Reranking improves the relevance ranking of results and reduces manual screening costs |
searchMode | Semantic search | Business queries are often in natural language, such as "How to verify permitted emission concentrations for the thermal power industry". Semantic search better matches business intent |
collectionIds | Bind exclusive pollution discharge permit dataset | Prevent cross-industry and cross-category knowledge base data from being recalled. Ensure retrieval results only cover compliant documents for this category |
Three common configuration errors
- Phenomenon: New pollution discharge permit implementation report content cannot be retrieved or recalled. Cause: The uploaded document is not correctly associated with the bound exclusive dataset, or the dataset’s index rebuilding task is not triggered.
- Phenomenon: A large volume of non-target industry pollution limit data appears in retrieval results. Cause:
collectionIdsis not configured to limit the retrieval scope, leading to incorrect recall of knowledge base data from other industries. - Phenomenon: Retrieval returns empty results or times out. Cause: The
similaritythreshold is set too high, resulting in too few qualifying matching results, or the system processes too many low-similarity results exceeding load limits.
How to confirm the configuration is correctly applied
- Upload a test pollution discharge permit application form, enter a query such as "What are the permitted emission limits in this application form". Check if the returned results include the corresponding numeric values and units from the document.
- View the dataset management page of FastGPT v4.17.0, confirm that the quarterly index rebuilding task has been automatically executed according to the configured settings.
- Adjust the
similaritythreshold, verify that the number of results decreases as the threshold increases, which matches expected behavior. - Disable
usingReRankand perform retrieval again, compare the change in result ranking, confirm that the reranking function operates correctly.
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.