What This Category's Data Looks Like
The business data for this category primarily comes from elderly care service information platforms, civil affairs statistics systems, fire inspection records, and institution operation ledgers. Daily processed documents include elderly care institution filing materials, operation subsidy application forms, service quality inspection checklists, safety hazard rectification ledgers, and elderly admission files. Data updates follow a monthly schedule. Most documents are structured forms and semi-structured ledgers. Fields include institution identifiers, bed counts, inspection results, rectification records, and more. Some fields require cross-system data association. There is no unified fixed unit format.
Constraints Imposed by These Features on Knowledge Base Retrieval and Recall
Monthly updated data must be regularly synchronized to the knowledge base to avoid using expired policies or institution information during supervision scenarios. Long-text filing materials and subsidy application materials increase the segmentation and retrieval load per data entry, so long-text processing logic must be adapted. Cross-system source fields require retrieval to support multi-source data association matching, and format differences between structured forms and semi-structured ledgers must be accommodated. Supervision scenarios require retrieval results to accurately correspond to policy basis, while also associating institution operation data such as bed counts and safety hazards. This sets clear requirements for the relevance and completeness of recalled results.
Configuration Settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Aligns with the precise semantic matching accuracy required for policy texts, and prevents low-relevance results from being included in supervision Q&A |
limit | Top 8–12 results | Balances information completeness and response speed in supervision scenarios, and avoids excessive results that increase organization costs |
searchMode | Semantic search + keyword hybrid | Balances precise keyword matching for policy texts and scenario-based semantic understanding, and covers different question phrasing methods |
usingReRank | Enabled | Improves result ranking accuracy after long-text retrieval, and ensures core policy basis appears at the top |
datasetSearchUsingExtensionQuery | Enabled | Optimizes and expands user questions to cover synonymous expressions commonly found in policy texts |
collectionIds | Bound to elderly care supervision exclusive dataset | Isolates business data to avoid irrelevant documents interfering with supervision scenario retrieval results |
Three Common Misconfigurations
- Phenomenon: Slow retrieval speed or timeout occurs when submitting questions for long-text materials over 10,000 lines. Cause: Segmentation and recall parameters are not optimized for long texts, leading to single-entry processing load exceeding system thresholds.
- Phenomenon: The Q&A result ends with "No permission to operate this conversation record" and citation annotations cannot be hidden. Cause: Citation display permission verification rules are not configured correctly, or knowledge base metadata does not match conversation permissions, causing the system to attempt loading unauthorized citation content.
- Phenomenon: Word documents containing image links cannot correctly answer questions related to image content. Cause: Current knowledge base retrieval and recall only support text semantic matching, and cross-modal retrieval functions are not enabled, so visual information in image links cannot be parsed.
How to Verify Successful Configuration
- Upload a typical elderly care institution operation subsidy application document, submit the question "What policies form the basis for elderly care institution operation subsidies", and check the relevance and number of recalled retrieval results.
- View the citation annotations in the Q&A result, confirm that the display status can be adjusted according to the configuration, and there are no permission-related error messages.
- Import a Word document containing image links, submit a question related to the content of the image annotations, and verify that the retrieval results cover the corresponding policy basis.
- Trigger the monthly data synchronization task, confirm that the knowledge base can normally load new institution filing and inspection records, and there are no format or loading errors.
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.