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

MeNews · 2026-04-08T12:24:03+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 12:24:03

Abstract generation in progress

ME News update, on April 5 (UTC+8), Google Cloud recently released a technical article introducing a private connectivity reference architecture designed 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 traverse the public internet. Its design follows a regional model and includes an external network and the Google Cloud environment, the latter consisting of a routing project, a Shared VPC host project, and three dedicated service projects. The architecture integrates key services including 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 provides a detailed description of three core traffic paths: the RAG data ingestion flow, the inference flow, and the management and routing flow, aiming to deliver secure and reliable infrastructure for enterprise AI workloads through end-to-end private connectivity and layered security controls. (Source: InFoQ)

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