Google Cloud releases reference architecture for private connections tailored to RAG applications

MeNews · 2026-04-09T11:37:33+00:00

Google Cloud has released a reference architecture for private connectivity suitable for generative AI applications, emphasizing security and the use of private IP addresses. This architecture includes multiple cloud services, designed to support end-to-end private connections and layered security controls to ensure the safety and reliability of enterprise AI workloads.

MeNews

2026-04-09 11:37:33

Abstract generation in progress

ME News Report, April 5th (UTC+8), Google Cloud recently published a technical article introducing a private connection reference architecture designed specifically for generative AI applications with retrieval-augmented generation (RAG) capabilities. This architecture is suitable for scenarios where system communication must use private IP addresses and cannot pass through the public internet. Its design adopts a regional pattern, including an external network and a Google Cloud environment, which consists of a routing project, a shared VPC host project, and three dedicated service projects. The architecture integrates key services such as Cloud Interconnect/Cloud VPN, Network Connectivity Center, Cloud Router, Private Service Connect, Shared VPC, Cloud Armor, Application Load Balancer, and VPC Service Controls. The article details three core traffic flows: RAG data ingestion flow, inference flow, and management and routing flow, aiming to provide a secure and reliable infrastructure for enterprise AI workloads through end-to-end private connections and layered security controls. (Source: InFoQ)

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