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

MeNews · 2026-04-08T14:12:18+00:00

Google Cloud has released a reference architecture for private connectivity tailored for generative AI applications, emphasizing security and the use of private IP addresses. The 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

2026-04-08 14:12:18

Abstract generation in progress

ME News message, April 5 (UTC+8). Google Cloud has recently published a technical article introducing a private connectivity reference architecture designed specifically for generative AI applications with retrieval-augmented generation (RAG) capabilities. The architecture is suitable for scenarios where system communications must use private IP addresses and cannot go through the public internet. Its design uses a regional model and includes an external network and a Google Cloud environment, with the latter consisting 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 Balancers, and VPC Service Controls. The article details three core traffic paths—RAG data population 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 connectivity and layered security controls. (Source: InFoQ)

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