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

MeNews · 2026-04-05T02:43:19+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

2026-04-05 02:43:19

Abstract generation in progress

ME News update, April 5 (UTC+8). Google Cloud recently published a technical article introducing a private connectivity reference architecture designed specifically for generative AI applications with retrieval-augmented generation (RAG) capabilities. This architecture is suitable for scenarios where system communications must use private IP addresses and cannot go through the public internet. The design uses a regional mode, including an external network and a 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, an Application Load Balancer, and VPC Service Controls. The article provides a detailed description of three core traffic flow paths—RAG data ingestion flow, inference flow, and management and routing flow—aiming to deliver 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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