What this category's data looks like
Data for this category primarily comes from health supervision information systems, medical institution electronic registration systems, complaint reporting platforms, and law enforcement inspection records. Daily processed documents include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinion documents, and penalty case files. The data update frequency is monthly. Each document contains fields such as institution identification, practice qualification information, inspection item details, rectification requirements, and penalty-related content. There is no unified fixed unit; values vary based on document type.
What constraints these characteristics impose on the "workflow orchestration" link
Multi-source data access requires the workflow to configure multiple data source synchronization nodes, preventing data silos and missed information. The monthly update frequency requires the workflow's knowledge base refresh cycle to match the monthly interval, ensuring that institution qualification and inspection record data use the latest versions. Diverse document types require the workflow to configure differentiated parsing and chunking rules for different documents, adapting to processing needs for short documents and long table content. The most time-consuming verification and rectification tracking links require the workflow to split into serial or parallel nodes, optimizing execution order to improve overall efficiency. Severe error consequences require the workflow to configure verification and exception alert nodes, blocking erroneous data from entering subsequent processes.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the content density of multiple document types including supervision inspection forms and rectification notices, avoiding overly fragmented or overly long chunks that impact matching accuracy |
| Overlap Length | 100–200 characters | Retain contextual connection between chunks, ensuring cross-chunk inspection item descriptions can be fully identified |
| Single Search Limit | Top 8 entries | Cover recall needs for multi-dimensional data such as medical institution qualifications and inspection records, avoiding missing key information |
| Maximum Context | 4000 characters | Adapt to context transfer for long documents such as law enforcement records and penalty case files, ensuring complete information between workflow nodes |
variables | Preset institution ID, inspection date and other variables based on business scenarios | Used to dynamically call exclusive data from corresponding data sources in the workflow, improving matching accuracy |
| Question Optimization | Enabled | Optimize sentence structure for administrative inquiry questions, adapting to professional terminology related to health supervision |
Three Common Misconfigurations
- When more than 6 workflow instances run simultaneously, the interface shows loading timeout or returns status code 504. The workflow concurrency configuration is not adjusted; the default concurrency limit is 6, and queuing and blocking are triggered beyond this limit.
- The return result of the question answering node in the workflow does not match the preset question classification logic, returning unexpected response content. The task type of the node is not clearly defined, and the classification logic and question answering logic are confused, leading to incorrect execution paths.
- Table content from supervision inspection forms cannot be fully matched to a single inspection record after being split. The chunk length is set too small, splitting a single inspection record into multiple chunks and destroying content relevance.
How to Verify Correct Configuration
- Trigger a workflow test, pass the preset institution ID and inspection date, and verify that the
variablesparameter is correctly passed to each node. - Check the knowledge base synchronization log, confirming that the monthly update task has been executed according to the configured cycle with no failed records.
- Simulate concurrent operation of multiple instances, check the execution status of workflow nodes, and confirm that there is no queuing and blocking.
- Pass different types of documents such as medical institution practice licenses and supervision inspection forms, verifying that the chunk parsing results meet expectations.
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.