Gemini

Learn how to make your AI agent completely offline. We walk through swapping the cloud model for a local Qwen 2.5 via Ollama, and building a local RAG knowledge base using SQLite and sqlite-rag to query Osquery schemas and packs.

Elevate your Google ADK agent with a custom, retro-style interface. This step-by-step guide shows you how to replace the standard Dev-UI using FastAPI and vanilla JavaScript, adding personality with a real-time streaming, AI-generated avatar.

This article is a guide to creating a diagnostic agent with the Agent Development Kit (ADK). It covers the development process and explains how to use Vertex AI RAG to improve the agent’s response quality.

Based on my keynote at Gophercon UK 2025, this article is an introduction to the Model Context Protocol (MCP), exploring its core concepts, architecture, and the building blocks — Tools, Prompts, and Resources — used to create AI-enabled applications with Go.

How to design infrastructure using natural language on Google Cloud using Gemini Cloud Assist

This article explores the concepts of system instruction, session history and agent tools to create a smarter diagnostic assistant.

This article explores the communication model between the client code and the Gemini API using the Vertex AI SDK for Python

How to create a diagnostic agent that speaks natural language using Gemini and Vertex AI Agent Engine