Reference only; verify against the target FastGPT release and deployment documentation.
What the Data for This Category Looks Like
The data for this category mainly comes from regulatory and rule databases, higher-level law databases, departmental policy document databases, and administrative regulatory document filing systems. Update frequency is irregular. Daily processed documents include regulatory document drafts, drafting explanations, legitimacy review opinions, solicitation opinion summaries, and filing reports. Most documents contain articles, tables, and policy basis entries. No unified fixed field format is used. Some documents contain content jointly signed by multiple departments. The data volume changes dynamically with policy updates.
Constraints Imposed by These Characteristics on Deployment and Upgrade
Decentralized data sources and non-fixed update cycles require multi-source data synchronization adaptation logic during deployment. This avoids overload during single synchronization operations. Documents contain tables and complex article structures. Adjust chunking rules during upgrades to adapt to non-standardized document formats. Data involves core policy compliance content. Configure a permission verification mechanism during deployment to ensure sensitive policy documents are only accessible to authorized positions. Reserve an incremental data update interface to adapt to irregular policy revisions and new filing documents. Support import of policy documents in different formats.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
REDIS_URL | redis://:password@host:6379/0 | Used to cache policy document retrieval results and reduce repeated query pressure on multi-source data |
PG_URL | postgresql://user:password@host:5432/fastgpt | Stores knowledge base metadata and review logs related to legitimacy review |
STORAGE_S3_ENDPOINT | http://minio.example.com:9000 | Stores original documents such as regulatory document drafts and filing reports |
FILE_TOKEN_KEY | Determined based on actual testing | Used to generate document access tokens to adapt to the permission verification requirements of policy documents |
| Chunk Length | 800–1200 characters | Adapts to the chunking needs of regulatory document articles and tables, avoiding retrieval failure caused by cross-article chunking |
| Single Search Limit | Top 10 results | Meets the accuracy requirements for policy basis retrieval, avoiding interference from too many low-relevance higher-level laws during review |
Three Common Misconfigurations
Tables in uploaded regulatory documents cannot be chunked correctly. Policy basis content within the tables cannot be matched during retrieval. This occurs because chunking rules are not adjusted for table-based documents. General text chunking logic leads to truncated or incorrectly split table content. The image understanding model configuration option cannot be found after local deployment. No corresponding option appears when creating a knowledge base. This occurs because image understanding related extension components are not enabled in the deployment configuration, or the corresponding model dependency packages are not loaded. The Redis service cannot be connected after starting the container. Knowledge base metadata cannot be loaded normally. This occurs because the REDIS_URL parameter is not configured correctly, the correct Redis address, port and authentication password are not specified, or the Redis service is not started normally.
How to Confirm Successful Configuration
Access the frontend address corresponding to FE_DOMAIN. Confirm that normal login is possible and the knowledge base management interface can be entered. Upload a test regulatory document draft. Check whether the chunked document fragments contain complete articles and table content. Perform a policy basis retrieval. Confirm that returned results originate from the configured regulatory and rule database and higher-level law database. View container logs. Confirm that services corresponding to PG_URL and REDIS_URL are connected normally, with no error messages.
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.