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

MeNews · 2026-04-09T00:32:03+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

2026-04-09 00:32:03

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ME News message, April 5 (UTC+8). Google Cloud recently published a technical article describing 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 over the public internet. Its design uses a regional mode 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 provides detailed descriptions of three core traffic paths—RAG data population flow, inference flow, and management and routing flow—aiming to provide a secure and reliable infrastructure foundation for enterprise AI workloads through end-to-end private connectivity and layered security controls. (Source: InFoQ)

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