Reference only; verify against the target FastGPT release and deployment documentation.
What This Category of Data Looks Like
The policy and regulatory basis data for state-owned industrial funds comes primarily from official documents released by the State-owned Assets Supervision and Administration Commission of the State Council, the Ministry of Finance, local state-owned assets supervision and administration institutions, and the funds themselves. Data updates align with new policy releases, with no fixed cycle. Each document includes fixed fields: document number, issuing authority, effective date, applicable subjects, core clauses, violation scenarios, rewards and punishments. Field units are mostly characters, date formats, and document numbers. Individual document lengths vary widely. Some special policy documents can reach tens of thousands of characters.
Constraints Imposed on Deployment and Upgrade
Official source policy documents require strict authenticity verification. During deployment, configure a synchronization script that regularly pulls official data sources. Document structures include fixed fields. When creating chunk indexes, retain field integrity to avoid disrupting logical connections of policy clauses. Update cycles are not fixed. During the upgrade phase, support incremental data synchronization to reduce server load from full reconstruction. Individual document lengths vary greatly. Adapt to variable-length chunk configurations to ensure retrieval accuracy and response speed.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://[username:password]@host:port/fastgpt_policy?authSource=admin | Stores structured metadata and indexes for state-owned industrial fund policy documents |
REDIS_URL | redis://:your_redis_password@192.168.0.100:6379/0 | Caches frequently queried policy clauses and retrieval results to reduce database load |
FE_DOMAIN | https://192.168.0.111 (local area network scenario) or a publicly registered domain name | Configures the service access domain name, supporting both local area network and public network deployment modes |
DB_MAX_LINK | 20–30 | Adapts to concurrent request volumes for policy document retrieval, avoiding database connection overload |
STORAGE_S3_ENDPOINT | https://s3-cn-beijing.aliyuncs.com | Stores original attachment files such as PDFs and Word documents of policy documents |
ROOT_KEY | Determined through actual testing | Configures the highest privilege verification key for the FastGPT management backend |
Three Common Misconfigurations
- Symptom: Unable to connect or receive 403 errors when accessing the service via server IP within the local area network. Cause:
FE_DOMAINis not configured as the server's local area network IP, or the listening address is not bound to 0.0.0.0, causing the service to only allow local loopback access. - Symptom: The official QR code remains at the bottom of the page after deployment and cannot be removed. Cause: The brand display toggle is not disabled in the front-end configuration items, and the FastGPT official logo loads by default.
- Symptom: Policy data synchronization delays or inconsistencies occur after cluster deployment with multiple nodes. Cause: Shared
REDIS_URLand distributed storageSTORAGE_S3_ENDPOINTare not configured, and each node uses independent cache and storage resources.
How to Verify Successful Configuration
- Access the configured
FE_DOMAINto confirm that the FastGPT management backend and Q&A page load normally, with no unauthorized access errors. - Run a database connection test using the FastGPT built-in system inspection tool to confirm that the
MONGODB_URIconfiguration is valid. - Upload a test state-owned industrial fund policy document to confirm that the file is successfully stored in the specified path corresponding to
STORAGE_S3_ENDPOINT. - Check system logs to confirm that the
DB_MAX_LINKconnection count does not show persistent overload errors, and the service runs stably.
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.