What the data for this category looks like
The data for rail transit equipment service consultation and reply mainly comes from on-site operation and maintenance work orders, customer service consultation records, equipment technical manuals, and operation and maintenance ledgers. The data update rhythm varies by business scenario: daily consultations are entered in real time, and technical documents are updated synchronously on a quarterly basis. Each data entry includes fields such as equipment model, fault phenomenon, consultation time, reply content, and processing result. Field units include set, hour, and occurrence, among others. Some documents include equipment parameter charts, and a single document page can contain several thousand characters.
What constraints these characteristics impose on deployment and upgrade
The consultation data for rail transit equipment includes long-text technical documents and structured work orders. Deployments must adapt to storage and retrieval requirements for large-volume data. Real-time updated daily consultation content requires a stable synchronization link during deployment to prevent data delays. Structured data with multiple fields must support imports in different formats. During upgrades, retain original field mapping rules to avoid business data loss. For intranet deployment scenarios, ensure access permissions and data isolation for internal users. Also configure reverse proxy HTTPS settings to secure access.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for this setting |
|---|---|---|
DB_MAX_LINK | 100–150 | Adapts to database connection requirements for concurrent rail transit equipment work orders, avoids connection exhaustion |
REDIS_URL | Intranet Redis service address, connection timeout set to 60 seconds | Caches retrieval results of high-frequency consultations, reduces database pressure, meets intranet deployment security requirements |
STORAGE_S3_ENDPOINT | Intranet object storage service address, such as 192.168.1.100:9000 | Stores long-text technical materials and work order attachments for rail transit equipment, ensures intranet data storage compliance |
FE_DOMAIN | Intranet access domain name, such as https://rail-equip.enterprise.local | Configures the access address after reverse proxy, ensures normal HTTPS access link for internal users |
FILE_TOKEN_KEY | Randomly generated 32-bit string | Encrypts tokens for file uploads, prevents unauthorized access to technical document attachments for rail transit equipment |
Three Common Mistakes
- Symptom: The channel model list only displays reranking models, and other language models cannot be selected. Cause:
ROOT_KEYpermissions are not configured, or the commercial version authorization is not bound to the usage permissions of the corresponding language model. - Symptom: After configuring the channel, the local ollama model cannot be connected, and the chat box displays that the model does not exist. Cause: The container network is not connected to the local ollama service, or the intranet access address configured in
FE_DOMAINdoes not cover the local request link of the ollama service.
Reference only; verify against the target FastGPT release and deployment documentation.
How to Verify Successful Configuration
- Access the intranet address configured in
FE_DOMAIN, confirm that the page loads normally with no certificate or domain resolution errors. - Upload a technical document for rail transit equipment, confirm that the file can be stored normally and called for retrieval in the chat box.
- Enter the channel management page, confirm that the required language models and reranking models are displayed in the optional list, and the configuration can be saved normally.
- Initiate a simulated consultation, confirm that the system can return matching rail transit equipment operation and maintenance reply content, with no data delay or error reports.
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.