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Agentic RAG with BigQuery DataFrames and Agent Starter Pack
Agentic RAG with BigQuery DataFrames and Agent Starter Pack
Effortlessly Build Production-Ready RAG Pipelines on Massive Datasets Using Python
Elia Secchi
Mar 26
Introducing the new Vertex AI Model Garden CLI and SDK
Introducing the new Vertex AI Model Garden CLI and SDK
TLDR; Deploy open models on Vertex AI in just THREE lines of code! The new Vertex AI Model Garden CLI and SDK, powered by the Deploy API…
Ivan Nardini
Mar 26
Getting started with Rust on Google Cloud
Getting started with Rust on Google Cloud
This post will guide you through deploying a simple “Hello, World!” application on Cloud Run. You’ll then extend the application by showing…
Karl Weinmeister
Mar 26
Meet MCP: Your LLM’s Super-Helpful Assistant!
Meet MCP: Your LLM’s Super-Helpful Assistant!
Imagine your favorite Large Language Model (LLM) like Gemini is a super-smart brain in a jar. It knows a lot from all the books and…
Krishnan Kumar
Mar 26
Best Practices For Prompt Engineering With Gemini 2.5 Pro
Best Practices For Prompt Engineering With Gemini 2.5 Pro
AI is a Solution Not a Problem
Cedric Sebastian
Mar 26
4 steps to supercharge Planet Scale, Global architectures on Google Cloud
4 steps to supercharge Planet Scale, Global architectures on Google Cloud
In part 1 of this post, I showed you how to create a globally load balanced, self-healing, auto-scaled, and secure architecture on Google…
George Mao
Mar 26
Who are the Google Cloud Generative AI Field Solution Architects (FSAs)?
Who are the Google Cloud Generative AI Field Solution Architects (FSAs)?
I get asked a lot: “What does your team do?” The answer is relevant to anyone working in the AI space today, from developers to executives.
Lyndsay Yerbic
Mar 24
Latest
Ready to use BigQuery? Here’s What You Need to Prepare
If you are still not sure whether to use BigQuery visit the first part (medium post) of this journey to checkout the indicators that can…
Cristian Ruiz
Mar 28
Level Up Your Analytics: When Startups Should Explore BigQuery
TL;DR: Learn when startups, using the gaming industry as an example, should consider moving their analytics from operational databases like…
Cristian Ruiz
Mar 28
Gemini 2.0 vs Gemini 2.5
Gemini 2.0 vs Gemini 2.5
Google DeepMind has just launched Gemini 2.5, and I couldn’t resist putting it to the test for my day-to-day tasks. I decided to compare…
Nikhil (Srikrishna) Challa
Mar 27
Gemini 2.0 vs. 2.5: Battle of the Models!
Gemini 2.0 vs. 2.5: Battle of the Models!
If you are like me (that just recently exploring 2.0, now 2.5 came up, smh) you will be wondering, “so what’s the difference?"
Angga Agia Wardhana
Mar 27
Evolving Cloud Operations Self-Service with AI Agents
Evolving Cloud Operations Self-Service with AI Agents
How can you grow your Cloud Operations self-service capabilities with AI agents and capitalize on the potential of Generative AI?
Peter Billen
Mar 26
Leveraging GCP Model Armor for Robust LLM and Agentic AI Security
Leveraging GCP Model Armor for Robust LLM and Agentic AI Security
The landscape of artificial intelligence is rapidly evolving with the emergence of Agentic AI, defined as Large Language Model (LLM)-based…
David Tessier
Mar 25
Multi Instance GPUs (MIG) in GKE
As AI/ML workloads continue to grow in complexity and scale, optimizing GPU utilization becomes critical. Google Kubernetes Engine (GKE)…
Jayesh Mahajan
Mar 25
AI-Powered Legacy Migration: Modularity, Human-in-the-Loop, and LLM Last
AI-Powered Legacy Migration: Modularity, Human-in-the-Loop, and LLM Last
AI is rapidly transforming application development. Tools like Google Gemini Code Assist and GitHub Copilot accelerate development cycles…
Oscar Pulido
Mar 25
Build a Chatbot for any Database in Minutes with Google GenAI Toolbox & LlamaIndex & Gemini
Build a Chatbot for any Database in Minutes with Google GenAI Toolbox & LlamaIndex & Gemini
Introduction
Arjun Prabhulal
Mar 24
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