Gemini Fullstack LangGraph Quickstart
NormalDescription
Official Google Gemini fullstack quickstart using LangGraph. Complete React + Python implementation for building production AI agent applications.
Key Features
- Fullstack application with React frontend and LangGraph-powered backend agent
- Dynamic search query generation using Google Gemini models
- Integrated web research via Google Search API
- Reflective reasoning to identify knowledge gaps and iteratively refine searches
- Generates well-supported answers with source citations
- Hot-reloading for both frontend and backend during development
Use Cases
💡 Research assistant that performs deep web research on complex topics
💡 Knowledge synthesis platform combining multiple web sources with citations
💡 Conversational AI with real-time web search capabilities
💡 Educational tool for students to explore topics with verified sources
💡 Template for building production-grade LangGraph + Gemini applications
Categories
Quick Start
cd frontend && npm install && cd ../backend && pip install . && cp .env.example .env && echo 'GEMINI_API_KEY=your_key' > .env && cd .. && make dev