What the Data for This Category Looks Like
Policy and regulatory basis data for the survey and design sector is primarily sourced from official announcements released by the Ministry of Housing and Urban-Rural Development, provincial and municipal housing and urban-rural development departments, national standards and industry specifications for the survey and design sector, and local construction management measures. Data updates trigger irregularly alongside policy revisions and the release of new specifications, with no fixed cycle. Reference only; verify against the target FastGPT release and deployment documentation.
Constraints Imposed on Deployment and Upgrade by These Characteristics
The long-form, multi-field nature of survey and design policy data, plus its irregular update schedule, creates clear constraints for the deployment and upgrade phase. First, most individual policy entries are thousands of characters long. Custom vector chunking configuration is required to avoid truncating core clauses. Second, data updates trigger irregularly alongside policy revisions. The upgrade process must support incremental synchronization, eliminating the need for a full re-import of the entire dataset each time. Third, the data includes multiple metadata fields such as policy document number, effective date, and applicable region. Corresponding indexes must be configured in the database to ensure efficient filtering and querying. Additionally, trusted access rules must be configured during deployment for officially sourced data to prevent unauthorized modification.
Configuration Settings
All configuration items below are based on FastGPT official specified parameters, adapted for the survey and design policy Q&A scenario:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://admin:your-password@localhost:27017/cems?authSource=admin | Survey and design policy data is stored in MongoDB. This parameter specifies the database connection address to meet the needs of storing multiple document metadata |
DB_MAX_LINK | 20–30 | Policy queries have high frequency. This parameter limits the maximum number of database connections to avoid service interruptions caused by connection overflow |
REDIS_URL | redis://:your-redis-password@localhost:6379/0 | Used to cache session and context data for policy Q&A, speeding up response times for repeated queries |
STORAGE_S3_ENDPOINT | https://s3-cn-beijing.aliyuncs.com | Stores PDF attachments and chunked data for policy documents, meeting storage needs for large-volume specification files |
ROOT_KEY | openssl rand -hex 32 | Generates the platform's super administrator access key to ensure access security for policy data |
FE_DOMAIN | https://cems.your-company.com | Specifies the frontend access domain name, adapting to domain configuration for internal enterprise office scenarios |
Three Common Errors
- Phenomenon: A
connection timed outerror appears during Docker Compose deployment, with logs showing a failed connection to MongoDB. Cause: The host address and port forMONGODB_URIwere not configured correctly, or the local MongoDB service is not running. - Phenomenon: Historical content still displays in queries after clearing conversation records. Cause: Session data stored in Redis cache was not cleaned synchronously, or corresponding service instances were not restarted.
- Phenomenon: The number of matching results returned by policy Q&A is far lower than expected. Cause: The
DB_MAX_LINKparameter was not set correctly, leading to insufficient database connections and an inability to pull full matching data.
How to Verify Correct Configuration
- Execute the
docker pscommand to confirm that dependency service containers such as MongoDB and Redis are running. - Log into the FastGPT platform, import a survey and design policy PDF document, and check for successful storage and generation of corresponding vector data.
- Submit a query related to survey and design policies, and confirm that returned results include correct metadata fields such as policy document number and effective date.
- Review platform backend logs to confirm that database connection count does not exceed the
DB_MAX_LINKconfiguration value, with no connection overflow errors.
The values given 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.