What the data for this category looks like
The data for this category primarily comes from official party building theory publications, policy interpretations released by authoritative party and government media, and internal party building training materials. Updates occur weekly for newly added theoretical articles, policy documents, and their interpretive content. Individual documents are mostly long texts ranging from thousands to tens of thousands of words, with structures including titles, body paragraphs, and cited fragments with source annotations. Data fields include unique document identifiers, publishing institutions, publishing times, content summaries, and original text content, with no additional quantitative unit fields.
What constraints these characteristics impose on deployment and upgrades
Reference only; verify against the target FastGPT release and deployment documentation.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
REDIS_URL | redis://:custom password@domestic mirror source address:6379/0 | Adapt to domestic network image pulling, cache question and answer sessions and synchronization status, avoid connection timeouts |
MONGODB_URI | mongodb://username:custom password@cluster address:27017/database name?authSource=admin | Store metadata and vector indexes of a large number of party building documents, require scalable cluster addresses to adapt to batch writes of long texts |
DB_MAX_LINK | 20–50 connections | Adapt to concurrent write requests for long text documents, avoid exhausting database connections |
STORAGE_S3_ENDPOINT | Endpoint address of domestically compliant object storage service | Store backups of original party building documents, meet domestic data storage compliance requirements |
ROOT_KEY | Random string of 16 or more characters with high strength | Configure the initial administrator login credential, avoid security risks from default credentials |
FE_DOMAIN | Public network domain name or internal IP of the deployed service | Configure the frontend access address, ensure normal loading and interaction of the question and answer interface |
Three common errors
- Issue: Unable to pull the Redis image when deploying with docker-compose. The system displays network timeout or image pull failure prompts. Cause: The configuration for
REDIS_URLdoes not use a domestic network-adapted mirror source. Calling the official mirror source directly blocks image pulling. - Issue: The administrator root account password automatically resets to the default value every other day. Cause: No custom administrator key is configured for
ROOT_KEY. Using FastGPT’s default initialization logic triggers the built-in default password reset mechanism. - Issue: The number of matching results for theoretical learning Q&A is far lower than expected. Cause: The
DB_MAX_LINKvalue is not adjusted based on the concurrent write volume of long text documents. This exhausts the database connection pool, making it impossible to load all matching theoretical documents.
How to confirm the configuration is complete
- Run the docker-compose up command. Check that the Redis container starts normally with no image pull-related errors.
- Log in to the FastGPT backend management interface using the custom root account credential. Confirm that no automatic password reset prompt appears.
- Import a test party building theoretical document. Run a vector index creation operation. Check that the database write log contains no connection timeout errors.
- Access the configured
FE_DOMAINaddress. Confirm that the frontend interface loads normally. Verify that theoretical Q&A requests can be initiated normally and matching results are returned.
The values given 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.