What data for this category looks like
Data for this category comes from health supervision information systems, medical institution electronic registration systems, complaint and reporting platforms, and law enforcement inspection records. The update cycle is monthly. Core documents include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, and penalty case files. Fields include institution main body information, license qualification numbers, inspection items, rectification requirements, penalty results, and more. The length of individual documents varies widely, ranging from short entry records of hundreds of characters to long text case files of thousands of characters.
What constraints do these characteristics impose on the vector models and indexes link
Monthly updated data sources require indexes to support incremental synchronization mechanisms. This eliminates the need for full dataset reconstruction each time, reducing operation and maintenance costs. The wide range of document lengths, from short entry inspection records to long text penalty case files, requires flexible chunking rules. These rules avoid truncation of key qualification information and context breaks after long document splitting. Data from multiple sources has field differences. A unified metadata mapping must be established to ensure accurate filtering by dimensions such as institution qualification and inspection cycle during retrieval. Sensitive documents such as penalty case files require permission verification rules to ensure data access compliance.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Config Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the document span of this category, balance context integrity of long case files and retrieval accuracy of short inspection records |
| Overlap Length | 100–150 characters | Avoid truncation of key qualification information after chunking, ensure continuity of cross-block retrieval |
| Similarity Threshold | 0.75–0.85 | Filter low-match results, focus on matches of core business fields such as institution qualification and rectification requirements |
| Single Search Limit | Top 10 entries | Cover the associated data volume of most supervision ledgers, avoid redundant results interfering with report generation |
maxToken | 8000 | Adapt to context splicing requirements after long document retrieval, meet summary analysis of long texts such as penalty case files |
defaultToken | 2000 | Configure default retrieval context length, adapt to analysis of routine inspection records and rectification notices |
Three common misconfigurations
- Symptom: Retrieval results are empty or match levels do not meet business expectations after custom index configuration. Cause: Metadata mapping is not configured according to the field structure of this category of documents, and core identification fields such as institution name and practice license number are not associated, resulting in failure to accurately match target institution data during retrieval.
- Symptom: Interface errors or timeouts occur after accessing third-party vector models. Cause: Authentication parameters for model calls are not correctly configured, or the input token length supported by the model is not matched, and requests are intercepted because the
maxTokenlimit is exceeded. - Symptom: Monthly ledger data is not synchronized to the retrieval library after index update. Cause: Incremental update configuration is not enabled, or automatic synchronization tasks are not set according to the monthly update cycle, resulting in failed or delayed execution of full reconstruction tasks.
How to confirm the configuration is correct
- Upload a single supervision inspection form document, perform a retrieval test, and check whether the returned results include other associated documents of the same institution.
- View the index metadata mapping configuration, confirm that core business fields of this category such as institution name and practice license number have been associated.
- Trigger an incremental synchronization task, check the system log to confirm the synchronization status is successful, and the updated documents have been included in the retrieval scope.
- Test calling the vector model, confirm that the interface returns normally, with no errors related to authentication or token length.
The values provided here are common starting points and should be evaluated 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.