What Data for This Category Looks Like
Survey and design policy and regulatory basis data mainly comes from official release channels of the Ministry of Housing and Urban-Rural Development, provincial and municipal housing and urban-rural development authorities. Updates are synchronized when new policy documents are issued, old policies are revised, or repealed. Most documents follow official red-headed format, and include fixed fields such as policy name, issuing document number, issuing unit, effective date, scope of application, and core clauses. Some files have special attachments such as construction drawing review and qualification management. The text structure is rigorous, with concentrated professional terminology.
What Constraints These Characteristics Impose on the Knowledge Base Retrieval and Recall Link
The rigor and concentrated professional terminology of survey and design policy data require precise semantic and keyword matching in the retrieval link, to avoid generalized recall. Long policy texts need reasonable chunking logic to maintain semantic integrity, and avoid splitting clause connections. The fixed field structure supports targeted retrieval, but take care to avoid overly strict field matching rules that cause valid content to be missed. The feature of low update frequency but urgent need for timely synchronization of changes requires retrieval configurations to support regular refresh of knowledge base collections, to ensure recalled content is the latest valid policies.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Survey and design policy texts are rigorous, require high matching accuracy to accurately hit core clauses and avoid interference from irrelevant policies |
limit | Top 10 entries | The number of survey and design policy documents is relatively manageable. Excessive recall increases context processing load and reduces response efficiency |
searchMode | vector+keyword | Policy texts have both semantically related content and clear keywords such as document numbers and professional terms. Hybrid retrieval balances semantic and precise matching |
usingReRank | Enabled | Vector matching for long policy texts may have local semantic bias. Reranking can secondarily verify relevance and improve recall accuracy |
datasetSearchUsingExtensionQuery | Disabled | Survey and design policy terms are fixed, no need for extra query expansion, to avoid introducing generalized content unrelated to policies |
collectionIds | Bind exclusive survey and design policy knowledge base collection | Differentiate policy data from other category business data, prevent cross-collection recall from causing result confusion |
Three Common Configuration Mistakes
- Phenomenon: Retrieval logs show matching target policy documents, but the final answer only returns citation links without generating corresponding content. Cause: The chunk length of recalled documents exceeds the context window limit, or the
similaritythreshold is set too high, causing the generation phase to truncate valid content. - Phenomenon: After importing policy documents in Feishu Doc format, professional terms cannot be accurately recalled. Cause: Only vector retrieval mode is enabled, keyword retrieval is not activated, unable to match fixed document numbers, terms and other clear keywords in policy documents.
- Phenomenon: After batch updating the policy knowledge base, old repealed policies are still recalled. Cause: Repealed policy files are not removed in time from the collection bound by
collectionIds, leading to the retrieval scope including invalid content.
How to Confirm the Configuration Is Correct
- Enter the knowledge base management page of FastGPT v4.17.0, check the configuration parameters of the corresponding collection, confirm that parameters such as
similarityandlimitmatch the preset values. - Input typical survey and design policy query terms, such as "requirements for survey and review of super high-rise building projects", check whether the matching degree and number of returned results of retrieval results meet the configuration requirements.
- Upload a test survey and design policy document, confirm after triggering retrieval that the results include this test document, and the matching degree is within the preset threshold range.
- View the retrieval log, confirm that all recalled documents come from the exclusive collection specified by
collectionIds, no cross-collection irrelevant data is recalled.
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.