What this category of data looks like
Policy and regulatory basis data for state-owned asset management companies mainly comes from normative documents issued by state-owned asset supervision and administration institutions at all levels, internal compliance system compilations of the company, and annual state-owned asset operation and management documents. Data updates have no fixed cycle, and are synchronized with regulatory policy adjustments or internal system revisions. Most documents use the standard official red-headed document format, including fields such as document number, issuing entity, effective date, and clause hierarchy (article, paragraph, sub-paragraph). The length of a single document ranges from hundreds to tens of thousands of words. There is no unified fixed document length unit, and segments follow the natural content divisions of the file.
What constraints do these characteristics impose on deployment and upgrade?
The characteristics of this category of policy data impose multiple constraints on deployment and upgrade. Long-text and clearly hierarchical document structures require adapting long-context processing configurations during deployment. This prevents truncation of core policy clauses and preserves Q&A response completeness. Non-fixed update cycles require supporting incremental synchronization mechanisms during the upgrade process. This reduces downtime from full data re-import. Metadata fields including effective date and applicable scope require configuring corresponding metadata extraction rules. This ensures accurate matching of policy application scenarios during Q&A. Wide variation in document length requires adjusting chunking logic to fit policy documents of different lengths. This avoids semantic fragmentation that harms answer accuracy.
How to Set Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
STORAGE_S3_ENDPOINT | Intranet-accessible compliant storage node address for state-owned asset systems | Policy documents of state-owned asset management companies are mostly stored in internal compliant storage nodes. Using intranet addresses improves access speed and complies with data security requirements |
DB_MAX_LINK | 100–150 connections | The concurrent request volume of the policy Q&A scenario is moderate. This connection range balances resource usage and response speed |
REDIS_URL | Intranet encrypted Redis cluster address, configured with 3600-second expiration time | Used to cache policy Q&A results of high-frequency queries. Intranet deployment ensures data security. The 3600-second expiration balances cache hit rate and data freshness |
FILE_TOKEN_KEY | Custom high-strength random string | Used to sign file access tokens, preventing unauthorized access to internal policy documents and complying with state-owned asset data security specifications |
PG_URL | Intranet PostgreSQL database address, configured with 600-second connection timeout | Stores policy document metadata and Q&A logs. Intranet deployment ensures data security. The 600-second timeout adapts to the waiting time for long document parsing |
ROOT_KEY | Configured only locally on deployment nodes, not exposed externally | Serves as the platform's highest privilege key. Access scope must be strictly controlled to prevent unauthorized access to internal policy data |
Three Common Misconfigurations
- Phenomenon: After updating the version, the length of policy Q&A responses becomes significantly shorter, and cannot fully cover policy clause content. Cause: Long-context adaptation configuration was not synchronized for the update, causing the model inference length to be restricted by default settings.
- Phenomenon: When configuring the MCP service, the parameter type is fixed as string and cannot be modified to other types. Cause: The corresponding version of the MCP service configuration template was not loaded correctly during deployment, causing the parameter verification logic to be locked.
- Phenomenon: After uploading a large policy compilation file, the parsing process times out and the request fails. Cause: The file processing timeout configuration was not adjusted, and the parsing time of a single long document exceeded the default threshold.
How to Confirm Configurations Are Correctly Set
- Perform an intranet storage node connectivity test to confirm that the address configured for
STORAGE_S3_ENDPOINTcan read and write policy documents normally. - Initiate multiple high-frequency policy Q&A requests to check whether cache hit rate and response time meet business expectations.
- Upload policy documents of different lengths to verify that the parsing and chunking processes have no abnormal interruptions.
- Verify that the parameter configuration of the MCP service can be modified normally, with no type locking issues.
The values provided here 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.