What the data for this category looks like
Business data for this category comes from the full-process electronic enterprise registration system, the National Enterprise Credit Information Publicity System, the electronic business license system, and the residence information database. The update frequency is daily.
Daily processed documents include standardized files such as establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, and food business license applications. Fields cover core business identifiers including entity name, residence address, shareholder information, license category, and application status. The overall format is standardized and tightly bound to the market entity access process.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Daily updated data sources require the knowledge base to use automated synchronization tasks. This ensures retrieval results match the latest status of official systems.
Standardized document structures and precise field requirements mean retrieval must focus on core business identifiers. This avoids interference from generalized matching.
The need to integrate multiple official data sources requires limiting retrieval scope to exclusive business datasets. This prevents cross-category irrelevant data from being included.
The high accuracy requirement for service inquiries means retrieved content must fully align with actual handling requirements. Low-relevance or outdated information is not acceptable.
How to set up the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
searchMode | Semantic Retrieval | This category requires matching semantic business fields such as residence and shareholder information. Semantic retrieval fits the matching needs of this business scenario more accurately |
similarity | 0.75–0.85 | This interval filters low-relevance results accurately. It retains core business field matching while excluding irrelevant retrieved entries |
limit | Top 10 entries | Service inquiries cover multi-dimensional information such as name, residence, and license type. 10 entries meet the content requirements of conventional context windows |
usingReRank | Enabled | Data fields in this category have strong relevance. Reranking improves the sorting priority of core fields such as entity name and residence |
datasetSearchUsingExtensionQuery | Enabled | Service inquiries often use abbreviations and aliases for entities. Extended queries cover more synonymous business expressions |
collectionIds | Bind the exclusive dataset ID for market entity registration and licensing | Limiting retrieval scope to the exclusive business dataset avoids interference from irrelevant government data on retrieval results |
Three common mistakes
- Phenomenon: Semantic retrieval scores are high, but actual matching results are deviated. Core fields such as residence address are not retrieved first. Cause: The similarity threshold was not adjusted for the core business fields of this category. Directly using a general threshold causes score calculations to disconnect from business matching accuracy.
- Phenomenon: An error indicating invalid dataset ID or variable reference appears when calling the knowledge base. Business data cannot be associated normally. Cause: The
collectionIdsparameter of the exclusive dataset was not correctly bound to the application configuration. Or the variable format does not comply with system verification rules. - Phenomenon: After importing Excel-format business documents, retrieval cannot match the corresponding content. Cause: Column names corresponding to business fields such as entity name and residence were not retained in the table. Or the field mapping relationship of the table dataset was not correctly configured.
How to confirm the configuration is complete
- Input test business questions such as "What materials are required for changing the residence of a market entity". Check whether retrieval results include the core content of the corresponding standardized documents.
- View the system retrieval log. Confirm that
searchModeis set to semantic retrieval,usingReRankis enabled, and the number of retrieved entries matches thelimitconfiguration requirements. - Simulate the variable reference calling process. Check whether the exclusive dataset can be correctly associated, with no invalid ID or format error prompts.
- Verify the data source synchronization status. Confirm that the daily automatic synchronization task is running normally, and the latest registration and licensing documents have been vectorized and stored.
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.