AI

This guide explains how to use the Gemini API for in-depth research, even without a dedicated "Deep Research" feature. It emphasizes crafting sophisticated prompts to achieve this. "Deep research" involves synthesizing information from multiple sources, performing structured analysis, and generating comprehensive reports. The guide provides a prompt-engineering template: defining the AI's persona and goal, specifying the topic and scope, listing required report sections, adding formatting requirements, and setting constraints. A well-structured prompt acts as a research plan for Gemini, resulting in thorough analysis. The guide concludes with a brief mention of a sample React application showcasing this process.

A quickstart on making your first request to the Gemini API to generate text.

Welcome to the first part of our Gemini tutorial series! Before you can start building amazing things with Gemini, you need to set up your development environment. This guide will walk you through the essential steps: getting your API key and installing the necessary SDKs for Python, JavaScript, Go, and Java.

Welcome to Building with Gemini: A Developer's Guide, a comprehensive tutorial series designed to help you harness the power of Google's most capable AI models. Whether you're a seasoned developer or just starting your journey into the world of artificial intelligence, this series will provide you with the practical, step-by-step knowledge you need to integrate Gemini into your projects.