What the data for this category looks like
Data for this category comes from real estate registration information systems, cadastral survey databases, housing transaction online signing systems, tax systems, and electronic certificate repositories. Daily processed documents include registration applications, ownership certificates, survey results, tax payment vouchers, real property right certificates, and registration books. Fields cover owner information, real estate location, right type, area, and more. Common units are square meters and parcel counts. Data is updated daily, covering all daily business transaction data. It serves as the basis for ownership verification and response during service inquiries, ensuring consultation content aligns with actual business data.
Constraints imposed by these characteristics during deployment and upgrade
Multi-source data access requires configuring multiple database connection parameters during deployment. Adaptation to different data formats and permission rules of real estate registration systems is necessary. Daily updated data synchronization needs scheduled incremental update tasks. This avoids excessive system resource usage from full synchronization. Diverse business document types require support for multi-format file storage and parsing. This ensures rapid retrieval of corresponding materials during inquiries. High strictness for ownership verification requires appropriate context length and data verification rules during deployment. This prevents erroneous data from entering the question-and-answer workflow. Error consequences must be strictly controlled. Deployment links need error alert and rollback mechanisms. This avoids registration errors or property rights disputes caused by configuration mistakes.
How to configure settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 10–15 connections | Matches daily concurrent access volume of real estate registration inquiries, prevents service interruptions caused by connection pool exhaustion |
MONGODB_URI | mongodb://{username}:{password}@{host}:{port}/real estate registration database?authSource=admin | Stores unstructured business data such as registration books and electronic certificates, adapts to multi-source data access requirements |
PG_URL | postgresql://{username}:{password}@{host}:{port}/cadastral survey database | Associates with cadastral survey database, used to verify real estate location and ownership source information |
REDIS_URL | redis://:{password}@{host}:6379/0?maxmemory=1000 MB | Caches question-and-answer pairs and ownership verification results for high-frequency inquiries, reduces database access pressure |
STORAGE_S3_ENDPOINT | https://{region}.aliyuncs.com | Stores business documents such as registration applications and survey results, adapts to electronic certificate storage and retrieval |
FILE_TOKEN_KEY | random string with a validity period of 3600 seconds | Encrypts download links for business documents, ensures secure file access during inquiries |
Three common configuration errors
- All model calls return 500 errors after startup. The cause is incorrect
MONGODB_URIconfiguration, failure to correctly connect to the real estate registration system’s database instance, inability to retrieve business data, and triggering model error responses. - Importing the official sample workflow results in empty consultation responses. The cause is failure to configure
STORAGE_S3_ENDPOINTandFILE_TOKEN_KEY, inability to store and retrieve business documents required for service handling, leading to interruption of the question-and-answer workflow. - Team members cannot access the deployed inquiry service. The cause is incorrect configuration of
ROOT_KEYor failure to create corresponding team permission groups, leading to permission verification failure and inability to access the service page.
How to verify successful configuration
- Run the
docker-compose pscommand, check that all container statuses are Up, with no abnormally exited items. - Access the FastGPT backend at
FE_DOMAIN, test connections toMONGODB_URIandPG_URLto verify normal database connectivity. - Upload a test registration application document, check if the corresponding file is generated in the storage bucket associated with
STORAGE_S3_ENDPOINTto verify that file storage configurations are effective. - After configuring
DB_MAX_LINKin the FastGPT backend, view container monitoring metrics to confirm that concurrent database connection counts do not exceed the set upper limit. - Generate a test inquiry question, such as "How to query the ownership status of a real estate property", verify that the system can retrieve corresponding business data and return an accurate response.
The values listed are common starting points and should be evaluated against respective deployment 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.