What data in this category looks like
Data for the public data catalog and opening category comes from local public data open platforms, integrated big data platforms, departmental business databases, and electronic certificate repositories. Its update frequency is monthly. Daily documents include public data resource catalogs, data open lists, data item descriptions, desensitization rules, interface documents, and update frequency descriptions. Covered fields include data item name, data format, opening conditions, desensitization method, interface address, update cycle, and responsible department. All content is structured or semi-structured, with no free-form unstructured text.
Constraints imposed by these characteristics during deployment and upgrade
The monthly update frequency requires configuring a periodic incremental sync mechanism during deployment. This avoids full data pulls that consume excessive system resources. Multiple heterogeneous data sources require adaptation to different types of database connection configurations. It also requires unified field mapping rules to ensure consistent retrieval of data from all sources. Structured document content must be embedded into the question answering knowledge base. Permission verification logic must also be associated to prevent sensitive data leaks. The large number of fields and fixed update rhythm require configuring reasonable cache and connection pool parameters during deployment. This ensures stable system operation. FastGPT v4.17.0 and later versions add synchronization templates for government data. These templates simplify the configuration process.
How to set configurations
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
| Chunk length | 800–1200 characters | Aligns with the structured content length of public data catalog documents, avoiding semantic breaks after chunking |
| Overlap length | 100–200 characters | Supplements context from adjacent chunks to improve question answering coherence |
| Single search limit | Top 10 entries | Controls the number of data entries returned by searches, avoiding redundant information interfering with policy question answering results |
| Similarity threshold | 0.75–0.85 | Filters low-relevance search results, focusing on valid policies and data opening rules |
| Cache expiration time | 3600 seconds | Caches high-frequency policy question answering results to improve system response speed |
| Sync task concurrency | 2–3 tasks | Adapts to synchronization needs for multi-department data sources, avoiding excessive system resource consumption |
Three common mistakes
- Phenomenon: Several seconds of delay appear when dragging in the workflow canvas, and nodes load slowly. Cause: The sync task concurrency parameter is not adjusted. Excessive sync tasks consume system resources, leading to front-end rendering blocking.
- Phenomenon: Question answering results include unsensitized sensitive data. Cause: Desensitization rule documents are not imported into the knowledge base, and permission verification logic is not configured. This causes sensitive data to be returned directly.
- Phenomenon: The synchronized data catalog does not match the actual data source entries. Cause: The incremental sync trigger mechanism is not configured. Full sync overwrites unupdated data entries, leading to partial data loss or duplication.
How to confirm proper configuration
- Log in to the FastGPT backend, check the data source connection status. Confirm that all configured database connections can be accessed normally.
- Trigger a data sync task. Check that the number of data entries after synchronization matches the actual number of data sources.
- Submit a query about public data opening conditions. Confirm that the returned results include correct opening rules and desensitization requirements.
- Check the running status of the cache service. Confirm that the cache function for high-frequency question answering works properly.
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.