What the data for this category looks like
This category of data mainly comes from the food safety sampling and monitoring system, the national market supervision administration sampling result query system, the inspection institution LIMS system, and the food producer and operator ledger. Daily documents include sampling plans, sampling slips, inspection reports, unqualified food verification and disposal reports, and risk control notices. The data update frequency is monthly. Data fields cover sampling points, inspection items, unqualified items, disposal progress, and more. The core evidence is the inspection report issued by the laboratory, with no additional custom statistical fields.
What constraints these characteristics impose on deployment and upgrade
The monthly updated data feature requires the deployment environment to support scheduled incremental synchronization tasks, and reserve database storage space matching the monthly data volume. The core documents are structured sampling slips and inspection reports, so parsing rules adapted to structured fields must be configured to avoid parsing bias for unstructured text. Data sources from multiple systems require opening corresponding interface permissions, while ensuring the security of data transmission. Documents related to unqualified disposal involve regulatory processes, so data access permissions must be strictly configured during deployment to prevent leakage of sensitive regulatory information. The requirement for associating party building learning Q&A with business data requires additional configuration of cross-data source fusion retrieval rules.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | Dedicated MongoDB instance deployed on local private cloud, connection string includes access key | Store monthly updated sampling business documents and party building Q&A associated data, requires dedicated instance to ensure read/write performance |
REDIS_URL | Dedicated Redis instance with memory quota no less than 8000 MB | Cache frequently retrieved sampling plans and inspection report data to reduce database access pressure |
DB_MAX_LINK | 64–128 connections | Adapt to concurrent connection requirements for monthly batch data synchronization, avoid connection pool exhaustion |
STORAGE_S3_ENDPOINT | Access address of local private storage service | Store large document attachments such as inspection reports and sampling slips, ensure localized data storage |
| Single search limit | Top 10 entries | Match the single-batch sampling data volume updated monthly, balance retrieval efficiency and recall completeness |
| Maximum context | 8000–12000 characters | Adapt to long-text parsing requirements for inspection reports, ensure Q&A content covers complete business information |
Three common errors
- Phenomenon: Service fails to start after deployment on Linux, logs show port occupation or missing dependencies. Cause: The specified version of Docker and Docker Compose was not installed in advance, or the default occupied 80/443 ports of the system were not closed.
- Phenomenon: Search results only return Chinese content, and do not match business documents corresponding to English prompts. Cause: The multilingual embedding model was not configured correctly, or the default language matching rule was not adjusted.
- Phenomenon: Incremental synchronization task times out and fails to complete monthly data update. Cause: The
DB_MAX_LINKconfiguration value is too low, causing the connection pool to be exhausted during batch synchronization and interrupting the synchronization task.
How to verify successful configuration
- Run the
docker pscommand to confirm that all FastGPT-related containers are in running state. - Initiate a retrieval test for a sampling plan to verify that the returned results include locally stored sampling document content.
- Manually trigger an incremental synchronization task to check whether new monthly sampling data entries are added to the database.
- Access the configured frontend domain name to verify that the party building learning Q&A module can normally associate sampling business data.
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.