What the data for this category looks like
Data for construction machinery policy and regulatory basis mainly comes from industry standards, construction specifications, and regulatory documents issued by the Ministry of Housing and Urban-Rural Development, the Ministry of Industry and Information Technology, and housing and urban-rural development, transportation authorities at provincial and municipal levels. Data updates align with industry regulatory requirements. Core national standards are revised every 1 to 2 years. Local implementation rules are added quarterly. Documents are stored in official document format. They include fields such as policy document number, issuing authority, effective date, applicable equipment type, operational requirements, and penalty clauses. Some files include equipment parameter adaptation requirements. Common engineering measurement units such as units, meters, and megapascals are used.
What constraints do these characteristics impose on knowledge base retrieval and recall
Construction machinery policy data characteristics create multiple constraints for retrieval and recall. First, policies include effective date and applicable equipment type fields. Retrieval must limit time ranges and equipment categories. This avoids retrieving expired clauses or non-matching non-construction machinery policies. Second, some documents have long text with equipment parameter adaptation requirements. Chunking must retain contextual connections. This prevents loss of critical logic after splitting. Third, national standards and local implementation rules have different priority levels. Retrieval ranking must adjust based on release hierarchy. Data update frequency is high. Knowledge bases must be synced regularly to maintain content timeliness.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Policy documents have rigorous content. This range filters low-similarity irrelevant content to avoid retrieving non-matching regulatory clauses |
limit | Top 8–12 results | Construction machinery policies often have national and local tiers. Retrieving sufficient results covers compliance requirements across different regions |
searchMode | vector+keyword | Policy documents contain both technical terminology and fixed document numbers. Hybrid retrieval balances semantic matching and precise document retrieval |
usingReRank | Enabled | Policy documents have large differences in length. Re-ranking sorts results by relevance to prioritize content strongly related to the queried equipment type |
datasetSearchUsingExtensionQuery | Enabled | User queries often omit equipment models. Extended queries add common model keywords to improve retrieval coverage |
collectionIds | Bind the exclusive dataset ID for construction machinery policies | Limit retrieval scope to avoid mixing policy documents from other categories |
Three Common Mistakes
- Phenomenon: When uploading policy PDF files larger than 10MB, after splitting into 1000+ chunks, some chunks encounter vectorization errors. A vectorization failure prompt appears in the interface. Cause: Most policy files are long texts with fixed-format document numbers and tables. Chunking that fails to retain contextual connections for tables and document numbers causes semantic fragmentation of chunks, triggering the error.
- Phenomenon: After batch uploading a large number of policy files, the server crashes. After restarting, the knowledge base is in a not-ready state and cannot automatically complete indexing. Cause: The indexing task triggered by batch upload does not have a breakpoint resume mechanism. The unfinished indexing queue is not restored after server restart.
- Phenomenon: After repeatedly clicking the vectorization retry button, some abnormal chunks still do not recover. Cause: Abnormal chunks stem from format corruption in the original document. Retrying cannot fix format issues. It only resolves temporary vectorization service fluctuations.
How to Confirm Proper Configuration
- On the FastGPT dataset management page, check the indexing status of the exclusive construction machinery policy dataset. Confirm that the vectorization progress of all uploaded files is 100%.
- Submit a query targeting a specific construction machinery policy. Check whether the retrieved results include matching equipment types and policy document numbers. Confirm that the similarity score falls within the set range.
- Modify the
similarityparameter value. Observe changes in the number of retrieved results to verify that the parameter takes effect. - Disable the
usingReRankparameter. Compare the sorting logic of retrieved results to confirm that the re-ranking function is properly enabled.
The values listed here 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.