Reference only; verify against the target FastGPT release and deployment documentation.
What this category’s data includes
The core data for this category comes from the road transport administration system, the national public service platform for dynamic information of road transport vehicles, and the vehicle and practitioner database. Daily processed documents include business license applications, vehicle technical files, driver qualification materials, work safety management systems, road transport business licenses, and more. Fields cover business entity information, license scope, validity period, vehicle license plates, practitioner qualifications, and related content. Data is updated daily, and most entries are mixed types combining structured approval materials and unstructured documents.
Constraints on deployment and upgrade
The multi-source and mixed nature of the data requires deployment to support synchronization configuration for multiple data source types. The daily update frequency requires configuring incremental synchronization tasks to avoid resource consumption from full synchronization. Field differences across documents require the knowledge base index to cover both structured fields and unstructured text. The question answering system must accurately distinguish access-related policy content to avoid confusion with other transportation-related content. In addition, errors in approval processes linked to this data have serious consequences. Deployment must ensure system reliability and the security of permission controls.
Configuration recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://fastgpt:yourpass@localhost:27017/road_transport?authSource=admin | Stores knowledge base documents, question answering conversations, and licensing approval data, and supports indexing requirements for multiple document types |
REDIS_URL | redis://:yourredispass@localhost:6379/1 | Caches frequently queried policy provisions and vehicle compliance data to reduce database access pressure |
DB_MAX_LINK | 15–25 | Adapts to daily incremental synchronization requests for vehicle and practitioner data, and prevents database connection exhaustion |
STORAGE_S3_ENDPOINT | http://localhost:9000 | Stores unstructured data such as scanned vehicle technical files and electronic copies of licensing certificates |
ROOT_KEY | Randomly generated 32-bit string | Verifies FastGPT backend management permissions, and prevents unauthorized configuration modifications |
FE_DOMAIN | https://your-fastgpt-domain.com | Configures the frontend access address to ensure normal redirection and resource loading for the question answering interface |
Three common deployment errors
- Symptom: FastGPT deployed on an Ubuntu system experiences timeouts for all queries, with delays up to 40 seconds. The interface returns a 504 status code. Cause: The
DB_MAX_LINKconfiguration was not adjusted. Insufficient database connections cause request queuing, preventing timely response to query requests. - Symptom: Local debugging runs normally, but starting the built Docker image fails. Logs show "Unable to connect to database". Cause:
MONGODB_URIandREDIS_URLwere not configured correctly. The database address inside the image differs from the host machine's local address, so the image cannot access the host's database service. - Symptom: In version 4.8.10, question answering retrieval results only show a single matching entry, and cannot display multi-dimensional policy basis. Cause: The default recall count setting is too low, and does not cover matching results from multi-source policy documents, leading to incomplete returned content.
How to verify successful configuration
- The FastGPT backend management interface is accessed, the knowledge base data source configuration is reviewed, and synchronization tasks for the road transport administration system and vehicle dynamic information public service platform are confirmed to be linked.
- A test query is run by entering "Application requirements for road transport business licensing", and the returned results are checked for accurate excerpts from the corresponding policy documents.
- The system monitoring panel is reviewed, the database connection count is confirmed to be within the configured
DB_MAX_LINKvalue range, and no connection exhaustion alerts are present. - A scanned copy of a vehicle technical file is uploaded, the storage service is verified to save the file normally, and no upload failure prompts are displayed.
The values provided are common starting points and should be evaluated against local 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.