What the data for this category looks like
Data sources for this category include the real estate registration information system, cadastral survey database, housing transaction online signing system, tax system, and electronic certificate library. The update frequency is daily. Daily processed documents cover registration applications, ownership certificates, survey results, tax payment vouchers, real estate ownership certificates, and registers. Data fields include real estate location, right type, right holder information, restriction status, and more. Core units are square meters, parcels, and units. All data comes from official business systems, with no third-party unstructured redundant content.
What constraints these characteristics impose on deployment and upgrade
Since data comes from multiple independent business systems and updates daily, the deployment phase must adapt to multi-source data synchronization logic. Full data pulls must be avoided, as they consume excessive database and network resources. Daily documents use two formats: structured forms and unstructured certificates. Deployment must configure targeted parsing rules for each document type, to ensure complete content extraction. The accuracy of ownership-related data is directly linked to administrative risks. The upgrade phase must strengthen data verification and permission control configurations, to ensure retrieval results match official business data. Multi-system data association matching must be pre-configured during deployment. This prevents retrieval errors caused by field mismatches during runtime.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://admin:securepass@mongodb-host:27017/fastgpt-registry?authSource=admin | Adapts to storage needs of multi-source business data. Real estate registration data grows as business expands, so permission verification must be enabled to ensure data security |
REDIS_URL | redis://redis-pass@redis-host:6379/1 | Used to cache ownership information and party building Q&A corpus for frequent retrieval, reducing query pressure on business systems |
STORAGE_S3_ENDPOINT | http://192.168.10.20:9000 | Stores unstructured documents such as survey results and real estate ownership certificates, adapting to large file storage requirements in real estate registration scenarios |
DB_MAX_LINK | 20–30 | Matches concurrent query volume of real estate registration business, avoiding database overload caused by excessive connection count |
ROOT_KEY | Randomly generated 32-bit string | Ensures permission security for system background operations, preventing unauthorized access to configuration pages |
Three common mistakes
- Running the
docker run --gpus all -itd -p 7231:7231command to startmarker_images:v0.1results in an error, and the model cannot be loaded normally. The cause is that the CUDA environment variable is not configured in the deployment script, leading to failed GPU invocation. - A newly deployed system cannot conduct normal conversations, and the background prompts interface permission verification failure. The cause is that
FILE_TOKEN_KEYorROOT_KEYis not configured correctly, causing requests to fail permission verification. - After upgrading to FastGPT v4.17.0, creating a knowledge base using a URL continuously results in an error. The background log shows
cannot fetch internal url. The cause is thatFE_DOMAINis not correctly configured as the actual access domain name, causing internal URL verification to fail.
How to confirm the configuration is complete
- Log in to the system background, check the connection status of storage-related configuration items such as
MONGODB_URIandREDIS_URL, and confirm that normal connection is displayed. - Upload a test document of real estate registration application, trigger the chunking and indexing process, and confirm that no format parsing errors occur.
- Initiate a test Q&A related to party building learning, and verify that the retrieval result is associated with the correct real estate ownership data fields.
- Trigger a daily incremental synchronization task, check the data update log, and confirm that no abnormal errors occur.
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.