What this category of data looks like
Non-ferrous metal smelting policy and regulatory basis data is primarily sourced from publicly released policy documents and industry access standards issued by the Ministry of Industry and Information Technology, the Ministry of Ecology and Environment, and local industry and information technology departments. Data updates are rolled out irregularly alongside new policy releases. A single document typically includes fields such as policy document number, issuing authority, effective date, applicable smelting categories, core clauses, and supporting indicator requirements. Most documents are in long text format, with some attached quantitative indicators for energy consumption and pollutant emissions. Used units include specialized smelting industry metrology standards such as tons of standard coal and milligrams per cubic meter.
What constraints do these characteristics impose on the deployment and upgrade phase
The long text policy documents and specialized metrology fields for this category require adapting long text splitting logic during deployment to avoid broken clause splits. The irregular update schedule for policies requires configuring an automated data source synchronization mechanism during the upgrade phase. This ensures knowledge base content stays synchronized with the latest policies. Industry-specific units and terminology must retain their original fields during embedding and retrieval, to prevent semantic deviation caused by standardization processing. Format differences across multiple policy document sources will also increase the workload of metadata standardization configuration during deployment.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://username:password@host:port/database?authSource=admin | Non-ferrous metal smelting policy data includes structured metadata and unstructured long text. MongoDB supports mixed storage of multiple data types |
REDIS_URL | redis://:password@host:port/0 | Context and session data from policy retrieval needs to be cached, to ensure stable concurrent access |
DB_MAX_LINK | 20–30 connections | Single retrieval for this category's policy documents needs to cover multiple long text documents. A reasonable number of connections balances performance and resource usage |
STORAGE_S3_ENDPOINT | Configured using the intranet address of your self-built object storage service | Most policy documents are large-volume long texts. Intranet storage reduces access latency |
FE_DOMAIN | https://your-domain.com | Must bind an official access domain name to ensure legality and stability of application access |
Three common configuration mistakes
- Issue: After deploying an Ollama local model, connection timeouts occur when calling knowledge base Q&A. Cause: Local model channel and token parameters were not correctly configured in
.env.local, causing the system to fail to recognize the local model node. - Issue: When deploying a model with vllm, concurrent request processing speed is slow. Cause: Model concurrency parameters were not adjusted based on the average length of policy documents. Long text processing increases per-request processing time.
- Issue: After upgrading to FastGPT v4.17.0, errors occur when Q&A is run for knowledge base-associated applications. Cause: Knowledge base metadata mapping configuration was not synchronized after the upgrade. Existing fields do not match the retrieval logic of the new system version.
How to confirm the configuration is correct
- Log in to the FastGPT backend, enter the knowledge base management page, check that metadata fields for policy documents are fully displayed, and confirm that specialized units and terminology were not incorrectly standardized.
- Trigger a policy Q&A test, verify that returned results include matching policy clauses and corresponding document numbers, to confirm retrieval logic is working properly.
- Enter the system configuration page, cross-check that core parameters such as
MONGODB_URIandREDIS_URLmatch the actual deployment environment. - Simulate multiple concurrent requests, observe system resource usage, to confirm that the
DB_MAX_LINKconfiguration supports normal concurrent access.
The values provided here are common starting points, and should be evaluated against your own specific 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.