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.

https://github.com/google-gemini/gemini-fullstack-langgraph-quickstart

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