What this category of data looks like
This category of data primarily comes from the engineering construction project approval management system, construction drawing review system, enterprise qualification database, and public credit platform. Daily processed documents include construction permit applications, construction drawing review qualification certificates, quality and safety supervision procedures, completion record forms, and more. Each document includes fields such as project subject information, approval node status, participating unit qualifications, and approval results. Data updates occur daily. Synchronize the latest approval progress, qualification changes, and credit records to ensure the timeliness and accuracy of inquiry responses.
Constraints during deployment and upgrade
Configure stable cross-system data pull links during deployment to meet the daily synchronization requirement for multi-source government data, avoiding data loss from connection timeouts. Verify the adaptability of the knowledge base index to different document structures during upgrades, to support fixed-format approval documents and real-time updated qualification and credit data, preventing retrieval and matching failures. Configure storage and access permissions that meet government security specifications during deployment and upgrades, to comply with government data compliance requirements and prevent sensitive information leaks. Reserve sufficient concurrent processing resources during service deployment, to handle high-frequency service inquiry requests and avoid response delays during peak hours.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
DB_MAX_LINK | 15–25 connections | Adapt to daily multi-source government data synchronization needs, avoid exhausting database connection pools |
REDIS_URL | Bind to dedicated government intranet cache node, port 6379 | Ensure security and low latency of approval data cache, adapt to high-frequency inquiry queries |
STORAGE_S3_ENDPOINT | Point to government cloud storage service address | Store approval-related documents and retrieval vectors, meet government data storage compliance requirements |
FILE_TOKEN_KEY | Generate an encryption key with a 24-hour validity period | Encrypt access tokens for approval documents, prevent unauthorized access |
FE_DOMAIN | Configure as the secondary domain name of the government service portal | Unify the inquiry response entry with existing government platform domain names, improve user experience |
Three common configuration errors
- The service displays "Writing data" for a long time after startup: The cause is that the synchronization trigger rules for multi-source government data are not configured correctly, leading to excessive initial data pull that exceeds the database write threshold.
- The knowledge base is retrievable but no response is output after upgrade: The cause is that the matching mapping between the vector model and government document fields is not updated, leading to retrieved documents not being correctly spliced into the large model context.
- Service interruption occurs in the SaaS version: The cause is that elastic scaling rules for government networks are not configured, leading to peak inquiry requests exceeding the service carrying limit.
How to confirm the configuration is complete
- Run a database connection test, verify that the connection count set in
DB_MAX_LINKcan normally support more than 10 concurrent data pull requests. - Upload a sample completion record form, trigger retrieval and confirm that matching approval node information is returned.
- Check the
STORAGE_S3_ENDPOINTconfiguration, confirm that approval-related documents can be uploaded and downloaded normally. - Initiate a simulated inquiry request, confirm that the response content includes correct construction permit application process node information.
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.