Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Service inquiry and response data for urban investment platforms primarily comes from internal service item databases, archived annual inquiry response ledgers, public service notice sheets, and park enterprise service manuals. Data updates occur immediately when service items are adjusted, and archived inquiry responses are organized and added to the database quarterly. The document structure primarily uses structured entries, including fields such as item category, handling entity, processing time limit (unit: working days), inquiry scenario, standard response text, and also includes unstructured question-answer pairs and long-text service guides.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The mixed structured and unstructured data structure requires retrieval to support both keyword matching and semantic recall, avoiding missing valid information by relying solely on a single matching method. The processing time limit field clearly marks working days as the unit. Retrieval results must accurately convey this unit to prevent confusion with calendar days that could cause misunderstanding. The frequency of inquiry response updates is high. Retrieval ranking must prioritize newly added content to ensure users access the latest service guidelines. Some service guide documents exceed 10,000 characters. The chunking and recall strategy for long texts must adapt to the content volume to prevent information loss or reduced recall accuracy. Additionally, most service items for these platforms involve exclusive scenarios. The retrieval scope must be limited to the corresponding dataset to avoid recalling irrelevant government service content from other categories.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.82 | Matches the semantic accuracy of service inquiries for these platforms, filters low-relevance non-service content, calibrated based on actual testing |
limit | Top 8 entries | Adapts to the common result display needs of service inquiries for these platforms, avoids excessive results interfering with user judgment |
searchMode | hybrid | Balances keyword matching for structured service item fields and semantic recall for unstructured question-answer pairs, adapts to mixed data structures |
usingReRank | Enabled | Re-ranks recall results for long-text service guides and question-answer pairs, improves the accuracy of relevance ranking |
datasetSearchUsingExtensionQuery | Enabled | Automatically expands colloquial user inquiries into standard service terminology to match structured service item databases |
collectionIds | Specify the exclusive dataset ID for service inquiries of these platforms | Limits retrieval scope to avoid recalling government service content from other categories |
Three common errors
- Issue: When retrieving a 10,000-character long-text service guide, valid information is truncated or the recall rate is low. Cause: No reasonable chunking strategy configured for long-text documents, or
usingReRankis not enabled to optimize semantic recall ranking for long texts. - Issue: A citation prompt reading "No permission to operate this conversation record" appears at the end of the response paragraph. Cause: Retrieved entries from the service inquiry dataset that have unauthorized access permissions, or the access scope for
collectionIdswas not correctly restricted. - Issue: The number of returned retrieval results is significantly higher or lower than the preset value. Cause: The
limitparameter was not configured correctly, or the parameter value does not match the common result display needs of service inquiries for these platforms.
How to confirm the configuration is correct
- Submit a typical service inquiry in the platform's service scenario, and check whether the retrieval results include the core content of the corresponding service item.
- Review the retrieval result ranking logic to confirm that newly updated service guides or responses appear in the top positions.
- Check the number of returned retrieval results to confirm it matches the preset
limitvalue. - Verify that colloquial inquiry questions can match the corresponding structured service items.
The values given 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.