What the data for this category looks like
Core data for this category comes from state-owned assets supervision information systems, enterprise asset management systems, property rights exchange systems, and appraisal agency reports. The update frequency is monthly. Daily documents include property rights registration forms, asset appraisal reports, property rights transfer plans, on-site transaction announcements, and asset disposal approval forms. Most data structures combine structured fields with explanatory text. Fields include asset identifiers, ownership subjects, financial values, approval nodes, and more. Some documents include multi-column structured tables. It is necessary to maintain consistency between data ownership and financial records.
What constraints these characteristics impose on deployment and upgrade
The need to synchronize multi-system data in monthly batches requires configuring a stable cross-system data pull link during deployment, to avoid connection interruptions during synchronization. The need to verify multi-source heterogeneous data requires backing up all full business data before upgrading, to prevent data loss from configuration changes. The compliance requirement for intranet deployment limits the scope of image pulling and data transmission, and public network resources cannot be relied on. The mixed feature of structured documents and long text requires the RAG chunking logic to adapt to different document types, to ensure retrieval accuracy. Additionally, the business characteristics related to state-owned assets require strictly following internal approval procedures during the upgrade process, to avoid unauthorized configuration modifications.
How to set configurations
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
MONGODB_URI | Use the local instance connection string for intranet deployment, use the private cloud instance address for extranet deployment | Data for this category is stored in internal state-owned assets systems, to ensure data does not cross compliance boundaries |
DB_MAX_LINK | 20–30 | Monthly batch synchronization of multi-system data, to avoid synchronization failures caused by exhausted database connections |
STORAGE_S3_ENDPOINT | Intranet storage node address | Asset-related documents must be stored on internal compliant storage media, public network transmission is prohibited |
| Chunk Length | 800–1200 characters | Adapt to long text documents such as asset appraisal reports and property rights transfer plans, while balancing semantic completeness and retrieval accuracy |
| Single Search Limit | Top 6 entries | Property right transaction approval requires precise matching of business materials, to avoid redundant results interfering with the review process |
REDIS_URL | Local cache instance address, memory quota 1000 MB | Perform high-frequency verification of asset ownership information, to reduce latency and resource consumption of cross-system queries |
Three common mistakes
- Symptom: Unable to log in after version upgrade, the interface returns a 502 status code. Cause: The service was not restarted after modifying the
MONGODB_URIconfiguration, or the database connection failed due to incorrect configuration file format. - Symptom: Upgrade command execution fails in the intranet environment, with a prompt that the image cannot be pulled. Cause: The intranet image repository address was not configured, and pulling timed out due to reliance on public network image sources.
- Symptom: After uploading a multi-column asset Excel file, RAG retrieval results are chaotic and cannot match business data by row. Cause: Segmentation by row was not specified, and the default automatic chunking logic caused semantic breaks in asset entries.
How to confirm configuration is complete
- Run the database connection test command, verify whether the
MONGODB_URIconfiguration takes effect, and confirm that existing asset data can be read. - Trigger the monthly data synchronization task, check that the
DB_MAX_LINKconfiguration does not trigger connection exhaustion errors. - Upload a property rights registration form Excel file, test the RAG chunking effect, and confirm that the segmentation meets the structural requirements of business documents.
- Run the FastGPT v4.17.0 upgrade script in the intranet environment, confirm that installation packages from the local image repository can be pulled, with no public network access dependencies.
The values provided here are common starting points, and should be evaluated 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.