gemini-fullstack-langgraph-quickstart

by google-gemini · Developer Tools

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

★ New0 ratings18,327 stars● Active

Developer ToolsDeveloper ToolJupyter NotebookTypeScript

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About this project

Gemini Fullstack LangGraph Quickstart This project demonstrates a fullstack application using a React frontend and a LangGraph-powered backend agent. The agent is designed to perform comprehensive research on a user's query by dynamically generating search terms, querying the web using Google Search, reflecting on the results to identify knowledge gaps, and iteratively refining its search until it can provide a well-supported answer with citations. This application serves as an example of building research-augmented conversational AI using LangGraph and Google's Gemini models. Features — 💬 Fullstack application with a React frontend and LangGraph backend. — 🧠 Powered by a LangGraph…

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TypeScriptPythonDockerfileJupyter NotebookCSSgeminigemini-api

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Last update2 months ago

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LicenseApache-2.0

On GitHubsince 2025

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