What the data for this category looks like
This data is used for party building learning Q&A scenarios. It is sourced from government information disclosure platforms, agency archive systems, document management systems, departmental business ledgers, and normative texts related to the Government Information Disclosure Regulations. Daily processed documents include government information disclosure application forms, supplementary notice letters, third-party opinion solicitation letters, response letters, service receipts, and administrative reconsideration response materials. Data updates have no fixed cycle, and are synchronized with new application processing workflows, archived documents, and policy updates. Most documents are a mix of structured forms and official documents, containing fixed fields such as applicant information, application items, response content, and relief channels. There is no unified unstructured text length standard.
What constraints these characteristics impose on deployment and upgrades
Data from multiple sources must adapt to the access formats of different systems. Deployment requires configuring adaptation rules for cross-system data synchronization. The irregular update feature requires retaining incremental synchronization capabilities during upgrades, to avoid resource occupation caused by full re-import. Mixed document types require compatible splitting logic for structured fields and unstructured text in index configuration, to ensure retrieval accuracy. Differences in ledger formats across different departments require reserving adjustment space for custom field mapping during deployment, to adapt to the actual data structures of different entities. During upgrades, attention must be paid to retaining index compatibility of historical application data, to prevent past response materials from being unsearchable due to version updates.
How to configure the system
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–150 connections | Adapts to the concurrent connection requirements of multi-system synchronization in party building learning Q&A scenarios, avoiding connection exhaustion errors |
REDIS_URL | redis://:custom password@intranet deployment IP:6379/0 | Stores session cache and retrieval intermediate results, adapting to the resource isolation requirements of party building learning Q&A on government intranets |
STORAGE_S3_ENDPOINT | Intranet object storage service address | Stores imported government documents and retrieval logs, adapting to the storage environment of party building learning Q&A on government intranets |
FILE_TOKEN_KEY | 32-character random string | Encrypts file access tokens, ensuring access security for sensitive government documents in party building learning Q&A |
ROOT_KEY | Configure only during initial deployment | Initializes platform administrator permissions, no modification required for subsequent upgrades |
Three common configuration mistakes
- An EMFILE: too many open files error occurs when executing the docker build command. The cause is that the number of open file handles during the build process exceeds the system default limit, and the resource upper limit configuration for docker builds has not been adjusted.
- When deploying with docker-compose on an intranet, no results are returned after importing text after importing the vector model. The cause is that the intranet access address of the vector model has not been configured, or the
DB_MAX_LINKparameter has not been adjusted to adapt to model concurrent requests. - Historical government document indexes fail to load after platform upgrade. The cause is that the original
MONGODB_URIconfiguration was not retained during the upgrade, resulting in failure to connect to the original database.
How to verify a successful configuration
- Execute the container status check command to confirm that all deployment components are running normally, with no abnormal exit logs.
- Upload a single standard government document to confirm that the document is correctly parsed and an index is generated, with no format errors.
- Initiate a simulated party building-related government information disclosure application Q&A request to confirm that the retrieval results match the corresponding government document content.
- Test multiple concurrent data synchronization operations to confirm that the system can carry the expected business request volume.
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.