What this category of data includes
Core data for this category comes from the enterprise registration fully electronic system, the national enterprise credit information publicity system, the electronic business license system, and the residence information database. Data updates automatically every day. Daily processed documents include establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, food business license applications, and more. The document structure centers on two core field types: subject qualification information and business licensing conditions. It includes standardized fields such as subject name, residence address, shareholder identity information, and licensing type. There are no additional custom units or complex measurement items.
Constraints Imposed on Knowledge Base Retrieval and Recall
The data characteristics of this category impose multiple constraints on the retrieval and recall process. First, heterogeneous data from multiple systems requires unified field mapping rules to avoid field mismatches during cross-source retrieval. Second, the daily update feature requires an incremental synchronization mechanism to avoid excessive resource usage from full retrieval. Third, documents focus on subject qualifications and licensing conditions. The matching accuracy of core fields directly affects processing efficiency. Priority must be given to ensuring the recall accuracy of key information such as names, residences, and licensing types. Fourth, errors have serious consequences. Retrieval scope must be strictly limited to prevent irrelevant documents from interfering with business judgments.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Similarity threshold | Set similarity to 0.75–0.85 | Meets the accuracy requirements for matching core fields such as subject names and residences, and avoids mismatches or missed matches |
| Single recall limit | Set limit to the top 8 entries | Covers common registration and licensing application material types, and controls context length |
| Search mode | Set searchMode to exact match priority | Adapts to retrieval requirements for strongly constrained fields such as names and residences |
| Reranking toggle | Enable usingReRank | Improves the sorting accuracy of multi-source recall results, and prioritizes display of core business documents |
| Extended query toggle | Disable datasetSearchUsingExtensionQuery | Avoids generalized queries interfering with exact matching, and ensures retrieval results are strongly relevant to the business scenario |
| Dataset ID | Fill collectionIds with the ID of the corresponding registration and licensing knowledge base | Limits retrieval scope to exclusive business documents, and eliminates interference from irrelevant datasets |
Three Common Misconfigurations
- Phenomenon: Retrieval results do not hit core establishment registration application content. Cause: Corresponding documents are not added to the dataset specified by
collectionIds, or thesimilaritythreshold is set too high, filtering valid matching content. - Phenomenon: Unable to confirm whether output content originates from the knowledge base. Cause: The knowledge base source tracking display function is not configured, or the document source field is not associated during retrieval, resulting in output that cannot be traced back to the original business document.
- Phenomenon: A 405 status code error occurs when synchronizing the knowledge base via the web. Cause: TRACE requests are not disabled, causing external scans to trigger abnormal HTTP requests and affecting the synchronization process.
How to Verify Successful Configuration
- Access the FastGPT v4.17.0 dataset management page, and confirm that
collectionIdsincludes the exclusive knowledge base for market entity registration and licensing. - Initiate a test query, enter "preconditions for food business license applications", and check whether returned results prioritize displaying corresponding document content.
- Adjust the value range of the
similarityparameter, and verify the rationality of changes in the number of retrieval results as the threshold changes. - Trigger the daily synchronization task, review synchronization logs for abnormal errors, and confirm normal data updates.
Note: The configuration values listed above are common starting points. Adjustments should be made based on specific local samples and use cases.
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.