What the data for this category looks like
Data sources for urban gas policy and regulatory basis include official documents released by the Ministry of Housing and Urban-Rural Development, local urban management departments, and gas industry associations. These documents include urban gas management regulations, gas safety technical specifications, local implementation rules, and similar materials. Data updates sync with national and local industry policy revisions and new specification releases, with no fixed cycle.
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The applicable administrative region field in policy documents requires matching geographic scope during retrieval, to prevent cross-regional policies from being mistakenly recalled. The non-fixed update rhythm requires the knowledge base to support a mechanism combining manual trigger synchronization and scheduled automatic updates. Policy texts are mostly professional legal clauses, so chunking must retain clause integrity to avoid semantic breaks caused by splitting. Multi-level policies (upper-level laws and local detailed rules) require that retrieval can filter results by priority, to ensure users obtain policy basis at the correct hierarchy.
Configuration Settings
| Configuration Item | Recommended Value | Basis for This Choice |
|---|---|---|
searchMode | Semantic retrieval | Urban gas policies are professional legal texts, and semantic retrieval can accurately match the logical connections between clauses |
limit | Top 8 entries | Returning 8 results per retrieval round covers the quantity requirements for core policy basis |
usingReRank | Enable re-ranking | Policy texts have relatively high professionalism, and re-ranking optimizes the accuracy of result sorting to match users' actual query needs |
datasetSearchUsingExtensionQuery | Enable query optimization | Policy queries often contain professional terms, and query optimization improves the matching accuracy between retrieval terms and documents |
similarity | 0.72–0.80 | Calibrated based on actual testing, balancing recall completeness and result relevance |
collectionIds | Bind the exclusive knowledge base for urban gas policies | Isolate data from other categories to ensure the retrieval scope only covers target policy documents |
Three Common Misconfigurations
- Phenomenon: Retrieval results have overly high semantic similarity scores, returning a large number of irrelevant policy clauses. Cause: The
similaritythreshold was not adjusted, and the threshold was set too low, resulting in low-matching results being recalled. - Phenomenon: An error occurs when calling knowledge base variables, and directly filling in the knowledge base ID returns fixed results. Cause: The
collectionIdswas not correctly configured to bind the exclusive knowledge base, or the variable transfer format does not meet platform requirements. - Phenomenon: Policy tables imported in Excel format have no corresponding matching results during retrieval. Cause: No mapping was established between table fields and retrieval keywords, or the field association configuration of the table data set was not enabled during import.
How to Confirm Proper Configuration
- Initiate a test query containing professional terms for gas policies, and check whether all returned results come from the exclusive urban gas policy knowledge base.
- Adjust the
similarityparameter range, observe changes in the matching degree of returned results, and confirm that the threshold meets business requirements. - After enabling
usingReRank, compare the sorting results before and after to confirm that the re-ranking function is active. - Test the variable call process, confirm that the knowledge base ID is passed correctly and no errors occur.
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.