This configuration is optimized for FastGPT v4.17.0.
What the data for this category looks like
Data sources for this category include engineering quality and safety supervision systems, on-site construction site real-name registration platforms, supervision logs, and test reports. The update frequency is weekly. Daily processed documents cover supervision plans, supervision inspection records, hidden danger rectification notices, quality problem handling forms, and completion acceptance supervision reports. Fields include supervision subjects, inspection items, rectification requirements, acceptance milestones, and other items. There are no unified fixed units; values adjust dynamically based on the business attributes of individual documents.
Constraints imposed by these characteristics on deployment and upgrade
This category has diverse data sources and requires integration with multiple systems. Reserve configuration space during deployment to adapt to different data source formats. The update frequency is weekly. The upgrade link must support incremental synchronization logic to avoid service freezes caused by full updates. Document types include structured forms and unstructured logs. Configure parsing rules adapted to multiple formats during deployment. Data is related to engineering quality and safety. Strengthen log retention and abnormal alert configuration during deployment to ensure service stability.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | Enter the MongoDB instance connection address accessible from the deployment node. Configure read-write separated addresses as a recommendation. | This category has a weekly data update frequency, and document volume increases gradually as projects progress. Read-write separation reduces query latency. |
REDIS_URL | Enter the connection address for a local or dedicated Redis cluster. Use instances with a memory capacity of no less than 8 GB as a recommendation. | Cache is required for vector fragments parsed from the knowledge base and user session contexts to ensure cache efficiency during weekly incremental updates. |
DB_MAX_LINK | Use a value range of 30–50 as a recommendation. | This category handles diverse document types daily. The concurrent connection count must adapt to concurrent demands from multiple data source imports and Q&A queries. |
STORAGE_S3_ENDPOINT | Enter the object storage endpoint address built locally or provided by a cloud service provider. Configure storage capacity of no less than 1000 MB as a recommendation. | Unstructured documents such as supervision logs and test reports must be retained to ensure data traceability. |
ROOT_KEY | Set to a random string with a complexity of no fewer than 16 characters. | Used for highest-privilege verification of the management platform to ensure access security after deployment. |
FE_DOMAIN | Enter the frontend access domain name after deployment. Configure the HTTPS protocol as a recommendation. | Ensures access security for Q&A services provided to entities such as housing and urban-rural development quality and safety supervision stations. |
Three common mistakes
- Slow operation logs appear when uploading and parsing knowledge base documents after deployment. The cause is failure to adjust the
DB_MAX_LINKparameter for this category's multiple document types, leading to insufficient MongoDB connections and response delays. - No available channels display when opening the OneAPI page. The cause is incorrect configuration of
STORAGE_S3_ENDPOINTorREDIS_URL, leading to failure of normal connectivity for cache or storage services relied on by third-party interfaces. - Knowledge base query result counts do not meet expectations. The cause is failure to configure a vector database incremental synchronization task with a weekly update frequency, leading to failure to clean old data in a timely manner or load new data correctly.
How to confirm proper configuration
- Execute an upload and parsing task for a single supervision inspection record. Confirm that database connection parameter configuration is reasonable by observing no slow operation errors in the console.
- Access the configured frontend domain name. Verify that the OneAPI page loads the channel list normally to confirm storage and cache service configurations are correct.
- Manually trigger an incremental update task. Verify that newly uploaded weekly documents are indexed correctly to confirm the update frequency configuration matches business rhythms.
- Log in to the management backend using the configured
ROOT_KEY. Verify that permission configuration takes effect to confirm security parameter configurations are correct.
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.