What Data Looks Like for This Category
Daily documents for this category include standardized materials such as establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, and food business license applications. Data sources include the full-process electronic enterprise registration system, the National Enterprise Credit Information Publicity System, the electronic business license system, and the residence information database. Data updates occur daily. Documents primarily take the form of structured forms and standardized texts, with fields covering entity name, residence information, shareholder information, license type, and more. The overall structure is orderly, with no large volume of non-standardized redundant content. The category covers the entire process of market entity registration and licensing.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
Daily updated data sources require the retrieval link to support incremental synchronization and real-time recall. This prevents registration and licensing judgment errors caused by data lag. Clear fields in structured documents require retrieval to balance precise keyword matching and semantic understanding. This reduces irrelevant recall results. Document types covering the entire process require the knowledge base to split retrieval scope by business link. This ensures recalled content aligns closely with registration and licensing norms referenced in party building learning. Format differences across cross-system data sources require unified format parsing before retrieval. This avoids field parsing exceptions that harm recall accuracy.
How to Configure Settings
| Configuration Item | Recommended Value | Setting Basis |
|---|---|---|
similarity | 0.75–0.85 | Matches the precise field requirements of registration and licensing work, filters irrelevant documents with low similarity, and ensures recalled content is strongly tied to business needs |
limit | Top 8–12 entries | Covers all document types including registration, licensing, modification, and cancellation, ensuring recalled results provide sufficient support for business judgment in party building learning |
searchMode | vector+keyword | Adapts to the dual needs of precise field matching and semantic retrieval for structured documents, balancing keyword precision and semantic generalization |
usingReRank | Enabled | Raises the sorting priority of highly relevant results, corrects semantic deviations that may appear in pure vector retrieval, and optimizes result display order |
datasetSearchUsingExtensionQuery | Enabled | Adds extended retrieval terms related to party building learning, addresses differences between standardized expressions and business terminology, and improves the comprehensiveness of retrieval and recall |
collectionIds | Bind corresponding knowledge base collections by business link | Accurately limits the retrieval scope, avoids interference from cross-category documents, and ensures recalled content only relates to the market entity registration and licensing field |
Three Common Misconfigurations
- The issue: Unable to locate the image dataset addition setting in a private deployment environment. Cause: The private deployment package of FastGPT v4.17.0 does not include the image parsing extension plugin by default. The corresponding module must be deployed manually.
- The issue: Unable to view historical call logs for a single document. Cause: Log collection configuration for the knowledge base is not enabled, so retrieval behavior is not recorded.
- The issue: Number of retrieval return results does not match the configured value. Cause: The value range of the
limitparameter is not set correctly, leading to incorrect adjustment of the recall upper limit.
How to Verify Correct Configuration
- Manually input a party building learning question related to registration and licensing, and check whether the document type of retrieval results matches the preset business scope.
- View the knowledge base log panel, and confirm that retrieval requests carry the correct
collectionIdsparameter to limit the corresponding business collection. - Test retrieval requests with different keywords, verify that the hybrid vector and keyword retrieval mode functions as expected, and ensure result sorting aligns with business requirements.
- Check the running status of incremental synchronization tasks, and confirm that daily updated data sources have been synchronized to the knowledge base to avoid data lag impacting recall accuracy.
The values listed are common starting points and should be evaluated against samples from the actual deployment environment.
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.