Cloud Computing

Introduction Retrieval Augmented Generation (RAG) is revolutionizing how we build Large Language Model (LLM)-powered applications, but unlike tabular machine learning where XGBoost reigns supreme, there’s no single “go-to” solution for RAG. Developers need efficient ways to experiment with different retrieval techniques and evaluate their performance. This post provides a practical guide to rapidly prototyping and

On today’s episode we chat with Crystal Xu, chief of staff at FSH Tech. She explains how she learned to build and deploy apps and services inside her company using Python and Java, without ever getting a traditional computer science education or training to write code. Instead, Xu works with GenAI systems like ChatGPT, Cursor,

Editor’s note: Ping Xie is a Valkey maintainer on the Valkey Technical Steering Committee (TSC) Today, we’re thrilled to announce Valkey 8.0 on Memorystore in preview, making Google Cloud the first major cloud platform to offer Valkey 8.0 as a fully managed service. Building upon the launch of Memorystore for Valkey 7.2 in August 2024,

In our 20 years of experience integrating AI into real-world applications an important theme emerges: the key to building enterprise gen AI applications is having a trustworthy, scalable data foundation that supports the scale and performance needs of the largest workloads. When you’re building a gen AI or search application, you need high-quality results in

Over the past year, the pace of innovation across industries and around the world has been extraordinary. At Google, we’re inspired by the public sector’s ingenuity and speed in adopting our AI and security innovations to achieve remarkable outcomes together. Since Google Cloud Next, we’ve launched more powerful versions of Gemini, rolled out Gemini Flash

We explore how our platform is evolving to support a new framework and business model, knowledge-as-a-service, and how we will incorporate this with our ongoing investment in our community.