What this category of data looks like
Policy data for the metal material processing sector primarily comes from specialized policies for the iron and steel and non-ferrous metal industries released by the national Ministry of Industry and Information Technology and the National Development and Reform Commission, local implementation rules issued by provincial and municipal industry and information departments, and compliance guidelines released by industry associations. Data updates are synchronized in real time with policy releases, with no fixed cycle.
Document structures include fields such as policy document number, issuing authority, effective date, applicable process scope (such as hot rolling, cold rolling, forging), core clauses, and penalty clauses for violations. Some documents include tabular process parameter requirements, with units including standard industrial units such as ton, millimeter, and cubic meter.
What constraints these characteristics impose during deployment and upgrade
Policy documents for metal material processing are often lengthy. Some individual documents exceed 10,000 words, which places requirements on vector retrieval context windows and storage capacity.
Policy updates have no fixed cycle, and involve heterogeneous formats from multiple departments and sources. An incremental synchronization and format unification preprocessing workflow must be built.
Some policies include precise parameter requirements for specific processes. The association between processes and clauses must be retained during metadata extraction to avoid irrelevant content matches during retrieval.
Concurrent requests for policy Q&A may peak during compliance check periods. System concurrent processing capacity must be ensured.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 20–30 connections | The policy data volume for metal material processing is large. Concurrent database connections prevent connection exhaustion and ensure stable retrieval response times |
MONGODB_URI | Dedicated connection string for local Docker deployment | Stores policy metadata and conversation logs. Local deployment ensures internal enterprise data security |
REDIS_URL | 600-second cache expiration time | Caches high-frequency queried policy clauses, reduces overhead from repeated reading of large-volume documents, and improves response speed |
STORAGE_S3_ENDPOINT | Intranet-exclusive storage endpoint | Stores large-volume policy documents. Intranet transmission reduces latency and improves document loading efficiency |
FE_DOMAIN | Enterprise intranet domain name | Configures the frontend access address to ensure secure access for internal users |
Three common configuration mistakes
- Phenomenon: The frontend has no response when calling the policy Q&A API, while Docker container and system resource loads remain within normal ranges. Cause: The expiration time for
REDIS_URLis not configured. High-frequency queried policy clauses are not cached, and repeated reading of large-volume documents slows overall response. - Phenomenon: The interface displays the
Invalid URL (POST /v1/rerank)error. Cause: The storage path forSTORAGE_S3_ENDPOINTis not correctly associated after reranking model deployment. The model cannot read policy document fragments when called, so the reranking process cannot be completed. - Phenomenon: Policy Q&A response speed is too slow after the knowledge base is configured. Cause: The value of
DB_MAX_LINKis not adjusted. Concurrent connection count is insufficient, and vector retrieval requests for multiple policy documents cannot be processed simultaneously.
How to confirm configuration is complete
- Run the MongoDB connection test command inside the Docker container to verify that the
MONGODB_URIconfiguration can establish a normal connection. - Send more than 10 high-frequency policy Q&A requests, and check Redis cache hit logs to confirm that the expiration time configuration for
REDIS_URLtakes effect. - Upload a hot rolling process compliance policy document for metal material processing to verify that the storage path for
STORAGE_S3_ENDPOINTcan perform normal write and read operations. - View the FastGPT v4.17.0 system monitoring panel to confirm that the connection count for
DB_MAX_LINKdoes not reach the configured upper limit.
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.