Discovering data management solutions that align with the Department of Defense’s (DoD) rigorous requirements for scale, security, and stability presents a formidable challenge. When DoD personnel make decisions, they need instant access to the data that supports them. Everything—from managing the DoD itself and executing Command and Control to making smarter decisions about their supply […]

Retrieval augmented generation, or RAG, is a way to use external data or information to improve the accuracy of large language models (LLMs). Today, we’ll explore how to use RAG to improve the output quality of Google Cloud AI models for code completion and generation on Vertex AI using its Codey APIs, a suite of […]

Self-service analytics powered by ML and generative AI is the new holy grail for data-driven enterprises, enabling enhanced decision-making through predictive insights, and providing a significant boost in operational efficiency and innovation. C-level executives increasingly see self-service analytics as the key driver of employee productivity and business efficiency. Today, technical practitioners employ a variety of […]

In the first post of this series, we explored the concept of retrieval augmented generation (RAG) and how the same technologies that power Google Search can greatly enhance the effectiveness of the information retrieval capabilities of a RAG system. In this follow-up post, we will now take a deeper look at the other critical technologies […]

Traditionally, customers have relied on VMs to run their network-intensive applications. But for organizations who want to migrate network-intensive VM-based applications to Kubernetes and achieve the same level of performance, they need to add advanced container networking capabilities to their Pods, for example the ability for Pods to have multiple interfaces, and high-performance acceleration technology […]

Editor’s Note: Established in 2021, Character.ai is a pioneer in the design and development of open-ended conversational applications. The platform utilizes an advanced neural language model to generate human-like text responses and engage in contextually relevant conversations. Character.ai relies on Google Cloud’s portfolio of managed databases, including AlloyDB for PostgreSQL and Spanner, as a solid […]

When a large language model (LLM) doesn’t have enough information or has no contextual knowledge of a topic, it is more likely to hallucinate and provide inaccurate or false responses. Developers are increasingly excited about generative AI and Retrieval Augmented Generation (RAG) — an architecture pattern that combines LLMs with backend information retrieval from other […]

The Cloud Monitoring team believes in the power of the open source community and open source interfaces. Our stance is that you should be able to get the near-unlimited scalability of our metrics platform without giving up the platform neutrality of open source projects or the battle-tested breadth of resources created by the community. This […]

In recent years, there’s been a surge in the adoption of streaming analytics for a variety of use cases, for instance predictive maintenance to identify operational anomalies, and online gaming — creating player-centric games by optimizing experiences in real-time. At the same time, the rise of generative AI and large language models (LLMs) that are […]

Over 10 years ago we launched Earth Engine, Google’s cloud-based service for geospatial processing, to address the greatest sustainability challenges of our time. Since then, it has continually evolved alongside the growing urgency of environmental issues to include 90+ petabytes of analysis-ready geospatial data. With a wider range of options available for analyzing satellite data, […]